1 |
Flood Segmentation on Sentinel-1 SAR Imagery with Semi-Supervised Learning [paper pdf] [poster] (Poster room 1) Siddha Ganju (Nvidia Corporation)*; Sayak Paul (Carted) |
2 |
A General Method for Calibrating Stochastic Radio Channel Models with Kernels [paper pdf] [poster] (Poster room 1) Ayush Bharti (Aalto University)*; Francois-Xavier Briol (Alan Turing Institute); Troels Pedersen (Aalborg University) |
3 |
A Multi-Survey Dataset and Benchmark for First Break Picking in Hard Rock Seismic Exploration [paper pdf] [poster] (Poster room 1) Pierre-Luc St-Charles (Mila)*; Bruno Rousseau (Mila); Joumana Ghosn (Mila); Jean-Philippe Nantel (Mila); Gilles Bellefleur (NRCan); Ernst Schetselaar (NRCan) |
4 |
Using Mask R-CNN to detect and mask ghosting and scattered-light artifacts in astronomical images [paper pdf] [poster] (Poster room 1) Dimitrios Tanoglidis (University of Chicago)*; Alex Drlica-Wagner (Fermilab/University of Chicago); Aleksandra Ciprijanovic (Fermilab) |
5 |
Neural density estimation and uncertainty quantification for laser induced breakdown spectroscopy spectra [paper pdf] [poster] (Poster room 1) Katiana Kontolati (Johns Hopkins University)*; Natalie Klein (Los Alamos National Laboratory); Nishant Panda (Los Alamos National Lab); Diane Oyen (Los Alamos National Lab) |
6 |
Robustness of deep learning algorithms in astronomy - galaxy morphology studies [paper pdf] [poster] (Poster room 1) Aleksandra Ciprijanovic (Fermilab)*; Diana Kafkes (Fermilab); Gabriel Nathan Perdue (Fermilab); Kevin Pedro (Fermilab); Gregory Snyder (STScI); Francisco Javier Sanchez Lopez (Fermilab); Sandeep Madireddy (Argonne National Laboratory); Stefan Wild (Argonne National Laboratory); Brian Nord (Fermi National Accelerator Laboratory) |
7 |
Uncertainty quantification for ptychography using normalizing flows [paper pdf] [poster] (Poster room 1) Agnimitra Dasgupta (University of Southern California)*; Zichao Wendy Di (Argonne National Laboratory) |
8 |
Model Inversion for Spatio-temporal Processes using the Fourier Neural Operator [paper pdf] [poster] (Poster room 1) Daniel B MacKinlay (CSIRO Data61)*; Daniel E Pagendam (CSIRO Data61); Petra Kuhnert (); Tao Cui (Queensland Water); Sreekanth Janardhanan (CSIRO); David Robertson (CSIRO) |
9 |
Mixture-of-Experts Ensemble with Hierarchical Deep Metric Learning for Spectroscopic Identification [paper pdf] [poster] (Poster room 1) Masaki Adachi (University of Oxford)* |
10 |
Amortized Variational Inference for Type Ia Supernova Light Curves [paper pdf] [poster] (Poster room 1) Alexis Sánchez (Universidad de Concepción)*; Pablo Andres Huijse (Universidad Austral de Chile); Francisco Förster (Millennium Institute of Astrophysics); Guillermo Cabrera-Vives (University of Concepción) |
11 |
Neural Symplectic Integrator with Hamiltonian Inductive Bias for the Gravitational N-body Problem [paper pdf] [poster] (Poster room 1) Maxwell X. Cai (SURF / Leiden University)*; Simon P Zwart (Leiden University); Damian Podareanu (SURF) |
12 |
Using neural networks to reduce communication in numerical solution of partial differential equations [paper pdf] [poster] (Poster room 1) Laurent White (Advanced Micro Devices, Inc.)*; Ganesh Dasika (AMD Research); Saketh Rama (Advanced Micro Devices, Inc.) |
13 |
Modeling Advection on Directed Graphs using Mat\'{e}rn Gaussian Processes for Traffic Flow [paper pdf] [poster] (Poster room 1) Nadim Saad (Stanford University)*; Danielle Maddix (Amazon Research ); Yuyang Wang (Amazon) |
14 |
Unsupervised Spectral Unmixing For Telluric Correction Using A Neural Network Autoencoder [paper pdf] [poster] (Poster room 1) Rune D. Kjærsgaard (DTU Compute)*; Aaron Bello-Arufe (DTU Space); Alexander Rathcke (DTU Space); Lars Buchhave (DTU Space); Line Clemmensen (DTU) |
15 |
S3RP: Self-Supervised Super-Resolution and Prediction for Advection-Diffusion Process [paper pdf] [poster] (Poster room 1) Chulin Wang (Northwestern University)*; Kyongmin Yeo (IBM Research); Andres Codas (IBM Research); Xiao Jin (RPI); Bruce G Elmegreen (IBM Research); Levente Klein (IBM Research) |
16 |
Automatically detecting anomalous exoplanet transits [paper pdf] [poster] (Poster room 1) Christoph J Hönes (University of Amsterdam)*; Benjamin K Miller (University of Amsterdam); Ana Heras (ESA/ESTEC); Bernard Foing (Leiden University) |
17 |
DeepZipper: A Novel Deep Learning Architecture for Lensed Supernovae Identification [paper pdf] [poster] (Poster room 1) Robert Morgan (University of Wisconsin-Madison)*; Brian Nord (Fermi National Accelerator Laboratory); Keith Bechtol (University of Wisconsin-Madison); Jimena González ( University of Wisconsin-Madison) |
18 |
Rethinking Graph Transformers with Spectral Attention [paper pdf] [poster] (Poster room 4) Devin Kreuzer (McGill University)*; Dominique Beani (InVivo AI); William L Hamilton (McGill University); Vincent Létourneau (Université de Montréal); Prudencio Tossou (Valence Discovery) |
19 |
Using physics-informed regularization to improve extrapolation capabilities of neural networks [paper pdf] [poster] (Poster room 1) David Davini (UCLA); Bhargav Samineni (New Jersey Institute of Technology); Benjamin Thomas (Louisiana State University); Amelia Huong Tran (Mount Holyoke College); Cherlin Zhu (Johns Hopkins University); Kyung Ha (UCLA); Ganesh Dasika (AMD Research); Laurent White (Advanced Micro Devices, Inc.)* |
20 |
Single Image Super-Resolution with Uncertainty Estimation for Lunar Satellite Images [paper pdf] [poster] (Poster room 1) Jose Ignacio Delgado-Centeno (University of Luxembourg)*; Paula Harder (Fraunhofer ITWM); Ben Moseley (University of Oxford); Valentin T Bickel (ETH Zurich); Siddha Ganju (Nvidia); Miguel Olivares (Universidad de Luxemburgo); Freddie Kalaitzis (University of Oxford) |
21 |
Deep learning techniques for a real-time neutrino classifier [paper pdf] [poster] (Poster room 1) Astrid Anker (University of California, Irvine)* |
22 |
Inferring dark matter substructure with global astrometry beyond the power spectrum [paper pdf] [poster] (Poster room 1) Siddharth Mishra-Sharma (MIT)* |
23 |
Stochastic Adversarial Koopman Model for Dynamical Systems [paper pdf] [poster] (Poster room 1) Kaushik Balakrishnan (Ford Greenfield Labs)*; Devesh Upadhyay (Ford Motor Co.) |
24 |
Discovering PDEs from Multiple Experiments [paper pdf] [poster] (Poster room 1) Georges Tod (CRI)*; Gert-Jan Both (CRI); Remy Kusters (CRI) |
25 |
Nonlinear pile-up separation with LSTM neural networks for cryogenic particle detectors [paper pdf] [poster] (Poster room 1) Felix Wagner (HEPHY Vienna)* |
26 |
Machine learning accelerated particle-in-cell plasma simulations [paper pdf] [poster] (Poster room 1) Ralph Kube (Princeton Plasma Physics Laboratory)*; Benjamin Sturdevant (Princeton Plasma Physics Laboratory); Randy M Churchill (Princeton Plasma Physics Laboratory) |
27 |
Calibrating Electrons and Photons in the CMS ECAL using Graph Neural Networks [paper pdf] [poster] (Poster room 1) Simon Rothman (Massachusetts Institute of Technology)*; Rajdeep Chatterjee (University of Minnesota); Lindsey Gray (Fermilab) |
28 |
Re-calibrating Photometric Redshift Probability Distributions Using Feature-space Regression [paper pdf] [poster] (Poster room 1) Biprateep Dey (University of Pittsburgh)*; Jeffrey Newman (University of Pittsburgh); Brett Andrews (University of Pittsburgh); Ann Lee (Carnegie Mellon University); Rafael Izbicki (UFSCar); David Zhao (Carnegie Mellon University); Markus Rau (Argonne National Laboratory); Alex Malz (German Centre for Cosmological Lensing) |
29 |
Towards Improved Global River Discharge Prediction in Ungauged Basins Using Machine Learning and Satellite Observations [paper pdf] [poster] (Poster room 1) Aggrey Muhebwa (University of Massachusetts - Amherst); Sungwook Wi (University Of Massachusetts - Amherst); Colin J. Gleason (University Of Massachusetts - Amherst); Jay Taneja (University of Massachusetts)* |
30 |
Visualization of nonlinear modal structures for three-dimensional unsteady fluid flows with customized decoder design [paper pdf] [poster] (Poster room 1) Kazuto Hasegawa (Keio university)*; Kai Fukami (University of California, Los Angeles); Koji Fukagata (Keio University) |
31 |
Sharpness-Aware Minimization for Robust Molecular Dynamics Simulations [paper pdf] [poster] (Poster room 1) Hikaru Ibayashi (University of Southern California)*; Ken-ichi Nomura (University of Southern California); Pankaj Rajak (Argonne National Laboratory); Taufeq Mohammed (University of Southern California); Ankit Mishra (University of Southern California); Aravind Krishnamoorthy (University of Southern California); Aiichiro Nakano (University of Southern California) |
32 |
A posteriori learning of quasi-geostrophic turbulence parametrization: an experiment on integration steps [paper pdf] [poster] (Poster room 1) Hugo Frezat (Univ. Grenoble Alpes)*; Julien Le Sommer (Univ. Grenoble Alpes); ronan fablet (IMT Atlantique); Guillaume Balarac (Univ. Grenoble Alpes); Redouane Lguensat (LOCEAN-IPSL) |
33 |
Vision transformers and techniques for improving solar wind speed forecasts using solar EUV images [paper pdf] [poster] (Poster room 1) Filip Svoboda (University of Cambridge)*; Edward J E BROWN (Cambridge) |
34 |
Deep-DFT: Physics-ML hybrid method to predict DFT energy using Transformer [paper pdf] [poster] (Poster room 1) Youngwoo Cho (Korea Advanced Institute of Science and Technology); Hongkee Yoon (KAIST); Seunghoon Yi (Seoul National University); Jaegul Choo (Korea Advanced Institute of Science and Technology); Myung Joon Han (KAIST); Joonseok Lee (Google Research & Seoul National University)*; Sookyung Kim (PARC) |
35 |
Fine-tuning Vision Transformers for the Prediction of State Variables in Ising Models [paper pdf] [poster] (Poster room 1) Onur Kara (Hindsight Technology Solutions)*; Arijit Sehanobish (Yale University); Hector Corzo ( Center for Chemical Computation and Theory at UC Merced) |
36 |
Physics-informed neural network for inversely predicting effective electric permittivities of metamaterials [paper pdf] [poster] (Poster room 1) Parama Pal (Tata Consultancy Services Limited)*; Prajith P (Tata Consultancy Services Limited); Anirban Chaudhuri (Tata Consultancy Services Limited) |
37 |
Learning Size and Shape of Calabi-Yau Spaces [paper pdf] [poster] (Poster room 1) Robin Schneider (Uppsala University)*; Andre Lukas (Oxford University); Fabian Ruehle (Northeastern University); Magdalena Larfors (Uppsala University) |
38 |
Learning Full Configuration Interaction Electron Correlations with Deep Learning [paper pdf] [poster] (Poster room 1) Hector Corzo ( Center for Chemical Computation and Theory at UC Merced)*; Arijit Sehanobish (Yale University); Onur Kara (Hindsight Technology Solutions) |
39 |
A deep ensemble approach to X-ray polarimetry [paper pdf] [poster] (Poster room 1) Abel L Peirson (Stanford University)* |
40 |
Learning Discrete Neural Reaction Class to Improve Retrosynthesis Prediction [paper pdf] [poster] (Poster room 2) Theophile Gaudin (IBM Research)*; Animesh Garg (University of Toronto, Vector Institute, Nvidia); Yuhuai Wu (University of Toronto); Alan Aspuru-Guzik (University of Toronto); Robert Pollice (University of Toronto) |
41 |
Classical variational simulation of the Quantum Approximate Optimization Algorithm [paper pdf] [poster] (Poster room 2) Matija Medvidović (Columbia University)*; Giuseppe Carleo (EPFL) |
42 |
Deep Surrogate for Direct Time Fluid Dynamics [paper pdf] [poster] (Poster room 2) Lucas T Meyer (INRIA)*; Louen Pottier (EDF); Alejandro Ribes (EDF); Bruno Raffin (University of Grenoble) |
43 |
Normalizing Flows for Random Fields in Cosmology [paper pdf] [poster] (Poster room 2) Adam Rouhiainen (University of Wisconsin-Madison)*; Utkarsh Giri (University of Wisconsin-Madison); Moritz Münchmeyer (University of Wisconsin-Madison) |
44 |
Machine Learning and Dynamical Models for Sub-seasonal Climate Forecasting [paper pdf] [poster] (Poster room 2) Sijie He (University of Minnesota)*; Xinyan Li (University of Minnesota); Laurie Trenary (George Mason University); Benjamin Cash (George Mason University); Timothy DelSole (George Mason University); Arindam Banerjee (University of Illinois Urbana-Champaign) |
45 |
Multiway Ensemble Kalman Filter [paper pdf] [poster] (Poster room 2) Yu Wang (University of Michigan)*; Alfred Hero (University of Michigan) |
46 |
Neural quantum states for supersymmetric quantum gauge theories [paper pdf] [poster] (Poster room 2) Enrico Rinaldi (University of Michigan)*; Xizhi Han (Kavli Institute for Theoretical Physics) |
47 |
A Quasi-Universal Neural Network to Model Structure Formation in the Universe [paper pdf] [poster] (Poster room 2) Neerav Kaushal (Michigan Technological University)*; Francisco Villaescusa-Navarro (Princeton University); Elena Giusarma (Michigan Technological University); Yin Li (Flatiron Institute); Mauricio Reyes (Michigan Technological University) |
48 |
Crystal Diffusion Variational Autoencoder for Periodic Material Generation [paper pdf] [poster] (Poster room 4) Tian Xie (Massachusetts Institute of Technology)*; Xiang Fu (MIT); Octavian Ganea (MIT); Dr.Regina Barzilay (Massachusetts institute of technology); Tommi Jaakkola (MIT) |
49 |
Learning governing equations of interacting particle systems using Gaussian process regression [paper pdf] [poster] (Poster room 2) Jinchao Feng (Johns Hopkins University); Yunxiang Ren (Harvard University); Sui Tang (UCSB)* |
50 |
Marrying the benefits of Automatic and Numerical Differentiation in Physics-Informed Neural Network [paper pdf] [poster] (Poster room 2) Pao-Hsiung Chiu (Institute of High Performance Computing)*; Jian Cheng Wong (Institute of High Performance Computing ); Chin Chun Ooi (IHPC); My Ha Dao (Institute of High Performance Computing ); Yew Soon Ong (Nanyang Technological University, Nanyang View, Singapore) |
51 |
G-SpaNet: Generalized Permutationless Set Assignment for Particle Physics using Symmetry Preserving Attention [paper pdf] [poster] (Poster room 2) Alexander Shmakov (UC Irvine)*; Michael Fenton (UC Irvine); David Ho (National Tsing Hua University); Shih-chieh Hsu (University of Washington); Daniel Whiteson (UC Irvine); Pierre Baldi (UC Irvine) |
52 |
Dispersive qubit readout with machine learning [paper pdf] [poster] (Poster room 2) Enrico Rinaldi (University of Michigan)*; Roberto Di Candia (Aalto University); Simone Felicetti (Consiglio Nazionale delle Ricerche); Fabrizio Minganti (EPFL) |
53 |
Scaling Up Machine Learning For Quantum Field Theory with Equivariant Continuous Flows [paper pdf] [poster] (Poster room 2) Pim de Haan (University of Amsterdam / Qualcomm AI Research)*; Corrado Rainone (Qualcomm AI Research); Miranda Cheng (University of Amsterdam); Roberto Bondesan (Qualcomm AI Research) |
54 |
Equivariant Transformers for Neural Network based Molecular Potentials [paper pdf] [poster] (Poster room 2) Philipp Thölke (Osnabrück University)*; Gianni De Fabritiis (Universitat Pompeu Fabra) |
55 |
Fast Approximate Model for the 3D Matter Power Spectrum [paper pdf] [poster] (Poster room 2) Arrykrishna Mootoovaloo (Imperial College London)* |
56 |
3D Infomax improves GNNs for Molecular Property Prediction [paper pdf] [poster] (Poster room 2) Hannes Stärk (Technical University of Munich)*; Dominique Beani (InVivo AI); Gabriele Corso (MIT); Prudencio Tossou (Valence Discovery); Christian Dallago (Technical University of Munich); Stephan Günnemann (Technical University of Munich); Pietro Lió (University of Cambridge) |
57 |
Learning the exchange-correlation functional from nature with differentiable density functional theory [paper pdf] [poster] (Poster room 2) Muhammad F Kasim (Machine Discovery)*; Sam Vinko (University of Oxford) |
58 |
RBSRICNN: Raw Burst Super-Resolution through Iterative Convolutional Neural Network [paper pdf] [poster] (Poster room 2) Rao Muhammad Umer (University of Udine)*; CHRISTIAN MICHELONI (University of Udine, Italy) |
59 |
Classifying Anomalies THrough Outer Density Estimation (CATHODE) [paper pdf] [poster] (Poster room 2) Anna Hallin (Rutgers University); Joshua Isaacson (Fermi National Accelerator Laboratory); Gregor Kasieczka (Universität Hamburg); Claudius Krause (Rutgers University); Benjamin Nachman (Lawrence Berkeley National Laboratory); Tobias Quadfasel (Universität Hamburg); Matthias Schlaffer (Université de Genève); David Shih ( Rutgers University ); Manuel Sommerhalder (Universität Hamburg)* |
60 |
Unsupervised topological learning approach of crystal nucleation in pure Tantalum [paper pdf] [poster] (Poster room 2) Sébastien Becker (Univ. Grenoble Alpes, Inria, CNRS, Grenoble INP*, SIMAP, 38000 Grenoble); Emilie Devijver (Univ. Grenoble Alpes, Inria, CNRS, Grenoble INP*, LIG, 38000 Grenoble)*; Rémi Molinier (University Grenoble Alpes ); Noël Jakse (Univ. Grenoble Alpes, Inria, CNRS, Grenoble INP*, SIMAP, 38000 Grenoble) |
61 |
DeepBO: Deep Neural-Network Bayesian Optimization of Polaritonic Metasurfaces in Continuous Space [paper pdf] [poster] (Poster room 2) Zihan Zhang (Shanghai Jiao Tong University); Kehang Cui (Shanghai Jiao Tong University)*; Jintao Chen (Shanghai Jiao Tong University) |
62 |
A data-driven wall model for the prediction of turbulent flow separation over periodic hills [paper pdf] [poster] (Poster room 2) Margaux Boxho (Cenaero)*; Michel Rasquin (Cenaero); Thomas Toulorge (Cenaero); Sophie Mouriaux (Safran Tech, Paris); Grégoire Winckelmans (UCLouvain); Koen Hillewaert (ULiege) |
63 |
Extending turbulence model uncertainty quantification using machine learning [paper pdf] [poster] (Poster room 2) Marcel Matha (German Aerospace Center)*; Christian Morsbach (German Aerospace Center) |
64 |
Missing Data Imputation for Galaxy Redshift Estimation [paper pdf] [poster] (Poster room 2) Kieran Luken (Western Sydney University)*; Rabina Padhy (Western Sydney University); Rosalind Wang (Western Sydney University) |
65 |
Arbitrary Marginal Neural Ratio Estimation for Simulation-based Inference [paper pdf] [poster] (Poster room 2) François Rozet (University of Liège)*; Gilles Louppe (University of Liège) |
66 |
Amortized Bayesian inference of gravitational waves with normalizing flows [paper pdf] [poster] (Poster room 2) Dax Maximillian (MPI for Intelligent Systems, Tübingen)*; Stephen R Green (Max Planck Institute for Gravitational Physics); Jonathan Gair (Max Planck Institute for Gravitational Physics); Jakob Macke (University of Tuebingen); Alessandra Buonanno (Max Planck Institute for Gravitational Physics); Bernhard Schölkopf (MPI for Intelligent Systems, Tübingen) |
67 |
Weight Pruning and Uncertainty in Radio Galaxy Classification [paper pdf] [poster] (Poster room 2) Anna Scaife (University of Manchester)*; Devina Mohan (University of Manchester) |
68 |
Automatic differentiation approach for reconstructing spectral functions with neural networks [paper pdf] [poster] (Poster room 2) Lingxiao Wang (Frankfurt Institute for Advanced Studies); Shuzhe Shi (Center for Nuclear Theory, Department of Physics and Astronomy, Stony Brook University); Kai Zhou (Frankfurt Institute for Advanced Studies)* |
69 |
Characterizing γ-ray maps of the Galactic Center with neural density estimation [paper pdf] [poster] (Poster room 2) Siddharth Mishra-Sharma (MIT)*; Kyle Cranmer (New York University) |
70 |
Bayesian Stokes inversion with Normalizing flows [paper pdf] [poster] (Poster room 2) Carlos Jose D Diaz Baso (Stockholm University)*; Andrés Asensio Ramos (Instituto de Astrofísica de Canarias); Jaime de la Cruz Rodriguez (Stockholm University) |
71 |
Generative models for hadron shower simulation [paper pdf] [poster] (Poster room 2) Sascha Diefenbacher (Universität Hamburg)*; Erik Buhmann (Universität Hamburg); Engin Eren (DESY); Frank Gaede (DESY); Daniel Hundhausen (Universität Hamburg); Gregor Kasieczka (Universität Hamburg); William Korcari (Universität Hamburg); Katja Krueger (DESY); Peter McKeown (DESY); Lennart Rustige (DESY, CDCS) |
72 |
Detecting Spatiotemporal Lightning Patterns: An Unsupervised Graph-Based Approach [paper pdf] [poster] (Poster room 2) Emma Benjaminson (Carnegie Mellon University)*; Satyarth Praveen (Lawrence Berkeley National Labs); Giulia Luise (Imperial College London); Juan Emmanuel Johnson (IGE); Richard Strange (Trillium Technologies, Inc.); Milad Memarzadeh (NASA); nadia ahmed (university of california, irvine) |
73 |
Uncertainty Aware Learning for High Energy Physics With A Cautionary Tale [paper pdf] [poster] (Poster room 2) Aishik Ghosh (University of California, Irvine)*; Daniel Whiteson (University of California, Irvine); Benjamin Nachman (Lawrence Berkeley National Laboratory) |
74 |
Error Analysis of Kilonova Surrogate Models [paper pdf] [poster] (Poster room 2) Kamile Lukosiute (University of Amsterdam)*; Brian Nord (Fermi National Accelerator Laboratory); Zoheyr Doctor (Northwestern University); Marcelle Soares-Santos (University of Michigan); Geert Raaijmakers (University of Amsterdam) |
75 |
Can semi-supervised learning reduce the amount of manual labelling required for effective radio galaxy morphology classification? [paper pdf] [poster] (Poster room 2) Inigo V Slijepcevic (University of Manchester)*; Anna Scaife (University of Manchester) |
76 |
A simple equivariant machine learning method for dynamics based on scalars [paper pdf] [poster] (Poster room 2) Weichi Yao (New York University)*; Kate Storey-Fisher (NYU); David Hogg (NYU); Soledad Villar (Johns Hopkins University) |
77 |
Physics-enhanced Neural Networks in the Small Data Regime [paper pdf] [poster] (Poster room 2) Jonas Eichelsdoerfer (Technical University of Munich); Sebastian Kaltenbach (Technical University of Munich)*; PS Koutsourelakis (TUM) |
78 |
Approximate Latent Force Model Inference [paper pdf] [poster] (Poster room 2) Jacob Moss (University of Cambridge)*; Felix Opolka (University of Cambridge); Bianca M Dumitrascu (Princeton University); Pietro Lió (University of Cambridge) |
79 |
Rethinking the modeling of the instrumental response of telescopes with a differentiable optical model [paper pdf] [poster] (Poster room 2) Tobias Ignacio Liaudat (Commisariat à l'Energie Atomique (CEA))*; Jean-Luc Starck (Commissariat à l'énergie atomique (CEA)); Martin Kilbinger (Commissariat à l'énergie atomique (CEA)) |
80 |
Inorganic Synthesis Reaction Condition Prediction with Generative Machine Learning [paper pdf] [poster] (Poster room 2) Christopher Karpovich (Massachusetts Institute of Technology)*; Zach Jensen (Massachusetts Institute of Technology); Vineeth Venugopal (Massachusetts Institute of Technology); Elsa Olivetti (Massachusetts Institute of Technology) |
81 |
Quantum Machine Learning for Radio Astronomy [paper pdf] [poster] (Poster room 3) Mohammad Kordzanganeh (The University of Manchester)*; Aydin Utting (The University of Manchester); Anna Scaife (University of Manchester) |
82 |
Proximal Biasing for Bayesian Optimization and Characterization of Physical Systems [paper pdf] [poster] (Poster room 3) Ryan Roussel (SLAC National Accelerator Laboratory)*; Auralee Edelen (SLAC National Accelerator Laboratory) |
83 |
Learning the solar latent space: sigma-variational autoencoders for multiple channel solar imaging [paper pdf] [poster] (Poster room 3) Edward J E BROWN (Cambridge)*; Christopher Bridges (University of Surrey); Jorge Perez (Mexico National Autonomous University); Giacomo Acciarini (Frontier Development Lab); Bernard Benson (Univeristy of Alabama in Huntsville); Atilim Gunes Baydin (University of Oxford); Stefano Bonasera (Colorado University) |
84 |
Digital Twin Earth - Coasts: Developing a fast and physics-informed surrogate model for coastal floods via neural operators [paper pdf] [poster] (Poster room 3) Peishi Jiang (Pacific Northwest National Laboratory)*; Nis Meinert (German Aerospace Center (DLR)); Helga Jordão (CERENA, Universidade de Lisboa); Constantin Weisser (QuantumBlack); Simon Holgate (IBM Research); Alexander Lavin (Institute for Simulation Intelligence); Björn Lütjens (MIT); Dava Newman (MIT); Haruko Wainwright (Lawrence Berkeley National Laboratory); Catherine Walker (NASA Headquarters); Patrick Barnard (United States Geological Survey) |
85 |
Probabilistic neural networks for predicting energy dissipation rates in geophysical turbulent flows [paper pdf] [poster] (Poster room 3) Sam F Lewin (University of Cambridge)*; Gavin Portwood (Los Alamos National Laboratory ); Steve de Bruyn Kops (University of Massachusetts Amherst); Colm-cille Caulfield (University of Cambridge) |
86 |
Robust and Provably Monotonic Networks [paper pdf] [poster] (Poster room 3) Niklas Nolte (Massachusetts Institute of Technology)*; Ouail Kitouni (Massachusetts Institute of Technology); Mike Williams (Massachusetts Institute of Technology) |
87 |
Predicting flux in Discrete Fracture Networks via Graph Informed Neural Networks [paper pdf] [poster] (Poster room 3) Stefano Berrone (Politecnico di Torino); Francesco Della Santa (Politecnico di Torino); Antonio Mastropietro (Politecnico di Torino)*; Sandra Pieraccini (Politecnico di Torino); Francesco Vaccarino (Politecnico di Torino) |
88 |
Stronger symbolic summary statistics for the LHC [paper pdf] [poster] (Poster room 3) Nathalie Soybelman (Heidelberg University)*; Anja Butter (Universität Heidelberg); Tilman Plehn (Heidelberg); Johann Brehmer (New York University) |
89 |
Photometric Redshifts for Cosmology: Improving Accuracy and Uncertainty Estimates Using Bayesian Neural Networks [paper pdf] [poster] (Poster room 3) Evan Jones (UCLA)*; Tuan Do (UCLA); Bernie Boscoe (Occidental College); Jack Singal (University of Richmond); Yujie Wan (UCLA); Zooey Nguyen (UCLA) |
90 |
Symmetries and self-supervision in particle physics [paper pdf] [poster] (Poster room 3) Barry M Dillon (University of Heidelberg)*; Peter Sorrenson (University of Heidelberg); Tilman Plehn (Heidelberg); Gregor Kasieczka (Universität Hamburg); Lorenz Vogel (University of Heidelberg); Hans Olischlaeger (University of Heidelberg) |
91 |
Cooperative multi-agent reinforcement learning outperforms decentralized execution in high-dimensional nonequilibrium control for steady-state design [paper pdf] [poster] (Poster room 3) Shriram Chennakesavalu (Stanford University); Grant M Rotskoff (Stanford University)* |
92 |
Supplementing Recurrent Neural Network Wave Functions with Symmetry and Annealing to Improve Accuracy [paper pdf] [poster] (Poster room 3) Mohamed Hibat-Allah (Vector Institute)*; Juan Carrasquilla (); Roger G Melko (University of Waterloo) |
93 |
An Imperfect machine to search for New Physics: systematic uncertainties in a machine-learning based signal extraction [paper pdf] [poster] (Poster room 3) Gaia Grosso (CERN)*; Andrea Wulzer (University of Padova); Maurizio Pierini (Cern); Marco Zanetti (University of Padova); Raffaele Tito d'Agnolo (Université Paris Saclay) |
94 |
Optimizing High-Dimensional Physics Simulations via Composite Bayesian Optimization [paper pdf] [poster] (Poster room 3) Wesley Maddox (New York University)*; Qing Feng (Facebook); Maximilian Balandat (Facebook) |
95 |
Simulation-Based Inference of Strong Gravitational Lensing Parameters [paper pdf] [poster] (Poster room 3) Ronan Legin (University of Montreal)*; Yashar Hezaveh (University of Montreal); Laurence Perreault-Levasseur (University of Montreal); Benjamin Wandelt (Flatiron Institute) |
96 |
Out of equilibrium learning dynamics in physical allosteric resistor networks [paper pdf] [poster] (Poster room 3) Menachem Stern (University of Pennsylvania)*; Sam Dillavou (University of Pennsylvania ); Marc Miskin (University of Pennsylvania); Douglas Durian ( University of Pennsylvania); Andrea J. Liu (University of Pennsylvania) |
97 |
A New sPHENIX Heavy Quark Trigger Algorithm Based on Graph Neutral Networks [paper pdf] [poster] (Poster room 3) Yimin Zhu (Stony Brook University)*; Tingting Xuan (Stony Brook University); Giorgian Borca-Tasciuc (Stony Brook University); Yu Sun (Sunrise Technologies) |
98 |
Particle Graph Autoencoders and Differentiable, Learned Energy Mover's Distance [paper pdf] [poster] (Poster room 3) Steven Tsan (University of California, San Diego); Sukanya Krishna (UCSD ); Raghav Kansal (UC San Diego)*; Anthony V Aportela (UCSD Physics); Farouk Mokhtar (UC San Diego); Daniel C Diaz (University of California San Diego); Javier Duarte (University of California San Diego); Maurizio Pierini (Cern); jean-roch vlimant (California Institute of Technology) |
99 |
Rethinking Neural Networks with Benford's Law [paper pdf] [poster] (Poster room 3) Surya Kant Sahu (Bhilai Institute of Technology, Durg)*; Abhinav Java (Delhi Technological University); Arshad Rafiq Shaikh (BYJU'S) |
100 |
A Convolutional Autoencoder-Based Pipeline for Anomaly Detection and Classification of Periodic Variables [paper pdf] [poster] (Poster room 3) Ho-Sang Chan (The Chinese University of Hong Kong)*; Siu Hei Cheung (The Chinese University of Hong Kong); Ashley Villar (Penn State University); Shirley Ho (Flatiron Institute) |
101 |
Partial-Attribution Instance Segmentation for Astronomical Source Detection and Deblending [paper pdf] [poster] (Poster room 3) Ryan D Hausen (University of California Santa Cruz)*; Brant Robertson (University of California, Santa Cruz) |
102 |
Electromagnetic Counterpart Identification of Gravitational-wave candidates using deep-learning [paper pdf] [poster] (Poster room 3) Deep Chatterjee (National Center for Supercomputing Applications)* |
103 |
Cross-Modal Virtual Sensing for Combustion Instability Monitoring [paper pdf] [poster] (Poster room 3) Tryambak Gangopadhyay (Iowa State University)*; Vikram Ramanan (Iit madras); Chakravarthy S.R. (Indian Institute of Technology Madras); Soumik Sarkar (Iowa State University) |
104 |
PlasmaNet: a framework to study and solve elliptic differential equations using neural networks in plasma fluid simulations [paper pdf] [poster] (Poster room 3) Lionel Cheng (CERFACS)*; Ekhi Ajuria Illarramendi (CERFACS); Michael Bauerheim (ISAE-SUPAERO); Benedicte Cuenot (CERFACS) |
105 |
Equivariant and Modular DeepSets with Applications in Cluster Cosmology [paper pdf] [poster] (Poster room 3) Leander Thiele (Princeton University)*; Miles Cranmer (Princeton University); William Coulton (Flariton Institute); Shirley Ho (Flatiron Institute); David Spergel (Flatiron Institute) |
106 |
A debiasing framework for deep learning applied to the morphological classification of galaxies [paper pdf] [poster] (Poster room 3) Esteban I Medina (University of Concepción); Guillermo Cabrera-Vives (University of Concepción)* |
107 |
The Quantum Trellis: A classical algorithm for sampling the parton shower with interference effects [paper pdf] [poster] (Poster room 3) Sebastian Macaluso (Center for Cosmology and Particle Physics & Center for Data Science, New York University)*; Kyle Cranmer (New York University) |
108 |
Variational framework for partially-measured physical system control [paper pdf] [poster] (Poster room 3) Babak Rahmani (EPFL)*; christophe Moser (EPFL); Demetri Psaltis (EPFL) |
109 |
An ML Framework for Estimating Bayesian Posteriors of Galaxy Morphological Parameters [paper pdf] [poster] (Poster room 3) Aritra Ghosh (Yale University)*; C. Megan Urry (Yale University); Amrit Rau (Yale University) |
110 |
Analyzing High-Resolution Clouds and Convection using Multi-Channel VAEs [paper pdf] [poster] (Poster room 3) Harshini Mangipudi (University of California, Irvine)*; Griffin S Mooers (UC Irvine); Michael Pritchard (UCI); Tom G Beucler (Columbia University & UCI); Stephan Mandt (University of California, Irivine) |
111 |
Detecting Low Surface Brightness Galaxies with Mask R-CNN [paper pdf] [poster] (Poster room 3) Caleb M Levy (Colgate University)* |
112 |
Online Bayesian Optimization for Beam Alignment in the SECAR Recoil Mass Separator [paper pdf] [poster] (Poster room 3) Sara Miskovich (MSU/NSCL)*; Fernando Montes (NSCL) |
113 |
Implicit Quantile Neural Networks for Jet Simulation and Correction [paper pdf] [poster] (Poster room 3) Braden Kronheim (University of Maryland); Michelle P Kuchera (Davidson College); Harrison Prosper (Florida State University); Raghuram Ramanujan (Davidson College)* |
114 |
Real-time Detection of Anomalies in Multivariate Time Series of Astronomical Data [paper pdf] [poster] (Poster room 3) Daniel Muthukrishna (Massachusetts Institute of Technology)* |
115 |
Neural network is heterogeneous: Phase matters more [paper pdf] [poster] (Poster room 3) Yuqi Nie (Princeton University)*; Hui Yuan (Princeton University) |
116 |
Simultaneous Multivariate Forecast of Space Weather Indices using Deep Neural Network Ensembles [paper pdf] [poster] (Poster room 3) Bernard Benson (Univeristy of Alabama in Huntsville)*; Edward Brown (University of Cambridge); Stefano Bonasera (University of Colorado); Giacomo Acciarini (Frontier Development Lab); Jorge A. Perez-Hernandez (Mexico National Autonomous University); Eric Sutton (University of Colorado); Moriba K. Jah (University of Texas, Austin); Christopher Bridges (University of Surrey); Meng Jin (Lockheed Martin Solar & Astrophysics Lab (LMSAL)); Atilim Gunes Baydin (University of Oxford) |
117 |
Symmetry Discovery with Deep Learning [paper pdf] [poster] (Poster room 3) Krish Desai (University of California, Berkeley)*; Benjamin Nachman (Lawrence Berkeley National Laboratory); Jesse Thaler (MIT) |
118 |
Approximate Bayesian Computation for Physical Inverse Modeling [paper pdf] [poster] (Poster room 3) Neel Chatterjee (University of Minnesota, Twin Cities)*; Somya Sharma (U. Minnesota); Sarah Swisher (University of Minnesota, Twin Cities); Snigdhansu Chatterjee (University of Minnesota) |
119 |
Noether Networks: Meta-Learning Useful Conserved Quantities [paper pdf] [poster] (Poster room 3) Ferran Alet (MIT); Dylan D Doblar (MIT)*; Allan Zhou (Stanford University); Joshua Tenenbaum (MIT); Kenji Kawaguchi (Harvard University); Chelsea Finn (Google) |
120 |
Explaining machine-learned particle-flow reconstruction [paper pdf] [poster] (Poster room 4) Farouk Mokhtar (UC San Diego)*; Raghav Kansal (UC San Diego); Daniel C Diaz (University of California San Diego); Javier Duarte (University of California San Diego); Joosep Pata (National Institute of Chemical Physics and Biophysics); Maurizio Pierini (Cern); jean-roch vlimant (California Institute of Technology) |
121 |
Physics Informed RNN-DCT Networks for Time-Dependent Partial Differential Equations [paper pdf] [poster] (Poster room 4) Benjamin Wu (NVIDIA); Oliver Hennigh (NVIDIA); Jan Kautz (NVIDIA); Sanjay Choudhry (NVIDIA); Wonmin Byeon (NVIDIA Research)* |
122 |
A Granular Method for Finding Anomalous Light Curves and their Analogs [paper pdf] [poster] (Poster room 4) Kushal Tirumala (California Institute of Technology)*; J. Rafael Martínez-Galarza (Harvard); Federica Bianco (University of Delaware); Dennis Crake (Harvard); Ashish Mahabal (California Institute Of Technology); Matthew Graham (California Institute Of Technology); Daniel Giles (SETI Institute) |
123 |
Galaxy Morphological Classification with Efficient Vision Transformer [paper pdf] [poster] (Poster room 4) Joshua Yao-Yu Lin (University of Illinois at Urbana-Champaign)*; Song-Mao Liao (University of California San Diego); Hung-Jin Huang (University of Arizona); Wei-Ting Kuo (University of California San Diego); Hsuan-Min Ou (San Diego) |
124 |
End-To-End Online sPHENIX Trigger Detection Pipeline [paper pdf] [poster] (Poster room 4) Tingting Xuan (Stony Brook University)*; Yimin Zhu (Stony Brook University); Fedrik Durao (Sunrise Technologies); Yu Sun (Sunrise Technologies) |
125 |
Accelerator Tuning with Deep Reinforcement Learning [paper pdf] [poster] (Poster room 4) David Wang (TRIUMF)*; Oliver Kester (TRIUMF); Rick Baartman (TRIUMF); Thomas Planche (TRIUMF); Olivier Shelbaya (TRIUMF); Paul Jung (TRIUMF); Spencer Kiy (TRIUMF); Wojciech Fedorko (TRIUMF); Calum Macdonald (General Fusion); Harpriya Bagri (TRIUMF) |
126 |
Geometric Priors for Scientific Generative Models in Inertial Confinement Fusion [paper pdf] [poster] (Poster room 4) Ankita Shukla (Arizona State University)*; Rushil Anirudh (Lawrence Livermore National Laboratory); Eugene Kur (Lawrence Livermore National Laboratory); Jayaraman J. Thiagarajan (Lawrence Livermore National Laboratory); Peer-Timo Bremer (LLNL); Brian Spears (Lawrence Livermore Natl Lab); Tammy Ma (Lawrence Livermore National Laboraotry); Pavan Turaga (Arizona State University) |
127 |
Self-supervised similarity search for large scientific datasets [paper pdf] [poster] (Poster room 4) George F Stein (UC Berkeley)* |
128 |
Neural Tensor Contractions and the Expressive Power of Deep Neural Quantum States [paper pdf] [poster] (Poster room 4) Or Sharir (Hebrew University of Jerusalem)*; Amnon Shashua ((The Hebrew University of Jerusalem, IL)); Giuseppe Carleo (EPFL) |
129 |
Embedding temporal error propagation on CNN for unsteady flow simulations [paper pdf] [poster] (Poster room 4) Ekhi Ajuria Illarramendi (ISAE SUPAERO)*; Antonio Gimenez Nadal (ISAE-SUPAERO); Michael Bauerheim (ISAE-SUPAERO); Bénédicte Cuenot (CERFACS) |
130 |
Phenomenological classification of the Zwicky Transient Facility astronomical event alerts [paper pdf] [poster] (Poster room 4) Dmitry A. Duev (Caltech)*; Stéfan van der Walt (UC Berkeley) |
131 |
Score-based Graph Generative Model for Neutrino Events Classification and Reconstruction [paper pdf] [poster] (Poster room 4) Yiming Sun (University of Science and Technology of China)*; Zixing Song (The Chinese University of Hong Kong); Irwin King (The Chinese University of Hong Kong) |
132 |
E(2) Equivariant Self-Attention for Radio Astronomy [paper pdf] [poster] (Poster room 4) Micah R Bowles (The University of Manchester)* |
133 |
Unbiased Monte Carlo Cluster Updates with Autoregressive Neural Networks [paper pdf] [poster] (Poster room 4) Dian Wu (CQSL, EPFL)* |
134 |
Using Deep Learning for estimation of river surface elevation from photogrammetric Digital Surface Models [paper pdf] [poster] (Poster room 4) Marcin Pietroń (AGH UST)*; Radoslaw Szostak (AGH-UST); Miroslaw Zimnoch (AGH-UST); Przemyslaw Wachniew (AGH-UST); Pawel Cwiakala (AGH-UST); Edyta Puniach (AGH-UST) |
135 |
Crystal graph convolutional neural networks for per-site property prediction [paper pdf] [poster] (Poster room 4) Jessica Karaguesian (Massachusetts Institute of Technology)*; Jaclyn R Lunger (MIT); Yang Shao-Horn (MIT); Rafael Gomez-Bombarelli (MIT) |
136 |
Differentiable Strong Lensing for Complex Lens Modelling [paper pdf] [poster] (Poster room 4) Luca Biggio (ETH Zürich)*; Aymeric Galan (EPFL); Austin Peel (EPFL); Georgios Vernardos (EPFL) |
137 |
Probing the Structure of String Theory Vacua with Genetic Algorithms and Reinforcement Learning [paper pdf] [poster] (Poster room 4) Andreas Schachner (University of Cambridge)*; Sven Krippendorf (LMU Munich); Alex Cole (University of Amsterdam); Gary Shiu (University of Wisconsin-Madison) |
138 |
Deep-SWIM: A few-shot learning approach to classify Solar WInd Magnetic field structures [paper pdf] [poster] (Poster room 4) Hala Lamdouar (University of Oxford)*; Sairam Sundaresan (Intel AI Lab); Anna Jungbluth (University of Oxford); Sudeshna Boro Saikia (University of Vienna); Amanda Joy Camarata (Colorado School of Mines); Nathan Miles (University of California in Los Angeles); Marcella Scoczynski Ribeiro Martins (Federal University of Technology - Parana); Mavis Stone (Harvey Mudd College); Anthony Sarah (Intel Corporation); Andrés Muñoz-Jaramillo (Southwest Research Institute); Ayris Narock (NASA/GSFC); Adam Szabo (NASA/GSFC) |
139 |
Factorized Fourier Neural Operators [paper pdf] [poster] (Poster room 4) Alasdair Tran (Australian National University)*; Alexander Mathews (Australian National University); Lexing Xie (Australian National University); Cheng Soon Ong (Data61 and ANU) |
140 |
Equivariant graph neural networks as surrogate for computational fluid dynamics in 3D artery models [paper pdf] [poster] (Poster room 4) Julian Suk (University of Twente)*; Pim de Haan (University of Amsterdam); Phillip Lippe (University of Amsterdam); Christoph Brune (U Twente); Jelmer Wolterink (University of Twente) |
141 |
Probabilistic segmentation of overlapping galaxies for large cosmological surveys. [paper pdf] [poster] (Poster room 4) Hubert Bretonniere (Institut d'Astrophysique Spatiale)*; Alexandre Boucaud (Laboratoire AstroParticules et Cosmologie (APC)); Marc Huertas-Company (Paris Observatory) |
142 |
Turbo-Sim: a generalised generative model with a physical latent space [paper pdf] [poster] (Poster room 4) Guillaume Quétant (University of Geneva)*; Mariia Drozdova (University of Geneva); Vitaliy Kinakh (University of Geneva); Tobias Golling (UniGe); Slava Voloshynovskiy (University of Geneva) |
143 |
Deterministic particle flows for constraining SDEs [paper pdf] [poster] (Poster room 4) Dimitra Maoutsa (Technical University of Berlin)*; Manfred Opper (TU Berlin) |
144 |
Graph Segmentation in Scientific Datasets [paper pdf] [poster] (Poster room 4) Rajat Sahay (Vellore Institute of Technology, Vellore)*; Savannah J Thais (Princeton University) |
145 |
CaloDVAE : Discrete Variational Autoencoders for Fast Calorimeter Shower Simulation [paper pdf] [poster] (Poster room 4) Abhishek Abhishek (TRIUMF)* |
146 |
Efficient kernel methods for model-independent new physics searches [paper pdf] [poster] (Poster room 4) Marco Letizia (MaLGa, DIBRIS - University of Genoa)*; Lorenzo Rosasco (Università degli Studi di Genova); Marco Rando (Universita` degli Studi di Genova); Gianvito Losapio (University of Genova) |
147 |
Analysis of ODE2VAE with Examples [paper pdf] [poster] (Poster room 4) Batuhan Koyuncu (Saarland University)* |