2 |
Neural Infalling Clouds: Increasing the Efficacy of Subgrid Models and
Scientific Equation Discovery using Neural ODEs and Symbolic
Regression
[paper]
[poster]
Brent Tan
|
4 |
Meta-Learned Bayesian Optimization for Energy Yield in Inertial
Confinement Fusion
[paper]
[poster]
[video] Vineet
Gundecha, Ricardo Luna Gutierrez, Sahand Ghorbanpour, Desik Rengarajan, Rahman
Ejaz, Varchas Gopalaswamy, Riccardo Betti, Soumyendu Sarkar
|
5 |
Uncertainty-Penalized Bayesian Information Criterion for Parametric
Partial Differential Equation Discovery
[paper]
[poster]
[video] Pongpisit
Thanasutives, Ken-ichi Fukui
|
6 |
Multimodal multi-output ordinal regression for discovering
gravitationally-lensed transients
[paper]
[poster]
Nicolò Oreste Pinciroli Vago, Piero Fraternali
|
8 |
LLM Enhanced Bayesian Optimization for Scientific Applications like
Fusion
[paper]
[poster]
[video] Sahand Ghorbanpour,
Ricardo Luna Gutierrez, Vineet Gundecha, Desik Rengarajan, Ashwin Ramesh Babu,
Soumyendu Sarkar
|
9 |
Normalising Flow for Joint Cosmological Analysis
[paper]
[poster]
Arrykrishna Mootoovaloo, David Alonso, Jaime Ruiz-Zapatero, Carlos
Garcia-Garcia
|
10 |
Emulation and Assessment of Gradient-Based Samplers in
Cosmology
[paper]
[poster]
Arrykrishna Mootoovaloo, David Alonso, Jaime Ruiz-Zapatero, Carlos
Garcia-Garcia
|
11 |
Two-Stage Coefficient Estimation in Symbolic Regression for Scientific
Discovery
[paper]
[poster]
Masahiro Negishi, Yoshitomo Matsubara, Naoya Chiba, Ryo Igarashi,
Yoshitaka Ushiku
|
13 |
Path-minimizing Latent ODEs as Inference Models
[paper]
[poster]
Matt L. Sampson, Peter Melchior
|
14 |
Climate PAL: Climate Analysis through Conversational AI
[paper]
[poster]
Sonia Cromp, Behrad Rabiei, Maxwell T. Elling, Alexander J. Herron,
Michael Hendrickson
|
16 |
Physics-guided Optimization of Photonic Structures using Denoising
Diffusion Probabilistic Models
[paper]
[poster]
Dongjin Seo, Soobin Um, Sangbin Lee, Jong Chul Ye, Haejun Chung
|
17 |
Galaxy Formation and Evolution via Phase-temporal Clustering with
FuzzyCat $\circ$ AstroLink
[paper]
[poster]
William H. Oliver, Tobias Buck
|
18 |
Constrained Synthesis with Projected Diffusion Models
[paper]
[poster]
Jacob K Christopher, Stephen Baek, Ferdinando Fioretto
|
19 |
ClariPhy: Physics-Informed Image Deblurring with Transformers for
Hydrodynamic Instability Analysis
[paper]
[poster]
[video] Shai
Stamler-Grossman, Nadav Schneider, Gershon Hanoch, Gal Oren Reproducibility badge 🏅; Datasets & benchmarks track
|
20 |
Evidential deep learning for probabilistic modelling of extreme storm
events
[paper]
[poster]
Ayush Khot, Xihaier Luo, Ai Kagawa, Shinjae Yoo
|
21 |
Learning Fluid-Directed Rigid Body Control
[paper]
[poster]
Karlis Freivalds, Oskars Teikmanis, Laura Leja, Saltanovs Rodions, Ralfs
Āboliņš
|
22 |
Galaxy Morphology Classification with Counterfactual
Explanation
[paper]
[poster]
Zhuo Cao, Lena Krieger, Hanno Scharr, Ira Assent
|
23 |
Dyson Brownian motion and random matrix dynamics of weight matrices
during learning
[paper]
[poster]
Gert Aarts, Ouraman Hajizadeh, Biagio Lucini, Chanju Park
|
24 |
Towards Using Large Language Models and Deep Reinforcement Learning for
Inertial Fusion Energy
[paper]
[poster]
Vadim Elisseev, Massimiliano Esposito, James C Sexton Perspectives track
|
26 |
Improving Flow Matching for Simulation-Based Inference
[paper]
[poster]
Janis Fluri, Thomas Hofmann
|
28 |
Automated discovery of large-scale, noise-robust experimental designs in
super-resolution microscopy
[paper]
[poster]
Carla Rodríguez, Sören Arlt, Leonhard Möckl, Mario Krenn
|
30 |
Neural Network Simulation of Time-variant Waves on Arbitrary Grids with
Applications in Active Sonar
[paper]
[poster]
[video] Yash Ranjith
|
32 |
Efficient Generation of Molecular Clusters with Dual-Scale Equivariant
Flow Matching
[paper]
[poster]
Akshay Subramanian, Shuhui Qu, Cheol Woo Park, Sulin Liu, Janghwan Lee,
Rafael Gomez-Bombarelli
|
34 |
Scalable physics-guided data-driven component model reduction for steady
Navier-Stokes flow
[paper]
[poster]
Seung Whan Chung, Youngsoo Choi, Pratanu Roy, Thomas Roy, Tiras Lin, Du
Nguyen, Christopher Hahn, Eric Duoss, Sarah Baker
|
37 |
From particle clouds to tokens: building foundation models for particle
physics
[paper]
[poster]
Joschka Birk, Anna Hallin, Gregor Kasieczka
|
39 |
Domain Adaptation of Drag Reduction Policy to Partial
Measurements
[paper]
[poster]
Anton Plaksin, Georgios Rigas
|
40 |
Reconstructing dissipative dynamical systems from spatially and
temporally sparse sensors
[paper]
[poster]
Alex Guo, Galen T. Craven, Javier E. Santos, Charles D. Young
|
41 |
BNEM: A Boltzmann Sampler Based on Bootstrapped Noised Energy
Matching
[paper]
[poster]
RuiKang OuYang, Bo Qiang, José Miguel Hernández-Lobato
|
42 |
The State of Julia for Scientific Machine Learning
[paper]
[poster]
Edward Berman, Jacob Ginesin Perspectives track
|
43 |
AP-SVM: Unsupervised Data Cleaning for the LEGEND Experiment
[paper]
[poster]
Reproducibility badge 🏅 Esteban León, Julieta Gruszko, Aobo Li, Brady Bos, M.A. Bahena Schott, John Wilkerson, Reyco Henning, Matthew Busch, Eric L. Martin, Guadalupe Duran, J.R. Chapman
|
44 |
ChemLit-QA: A human evaluated dataset for chemistry RAG tasks
[paper]
[poster]
Geemi Wellawatte, Philippe Schwaller, Huixuan Guo, Marta Brucka, Anna
Borisova, Matthew Hart, Magdalena Lederbauer Datasets & benchmarks track
|
45 |
GraphNeT 2.0 - A Deep Learning Library for Neutrino Telescopes
[paper]
[poster]
Rasmus F. Ørsøe, Aske Rosted
|
46 |
Towards Agentic AI on Particle Accelerators
[paper]
[poster]
Antonin Sulc, Thorsten Hellert, Raimund Kammering, Hayden R. Hoschouer,
Jason M. St. John Perspectives track
|
47 |
A Poisson-process AutoDecoder for Astrophysical, Time-variable, X-ray
Sources
[paper]
[poster]
Yanke Song, V Ashley Villar, Juan Rafael Martínez-Galarza
|
48 |
A method for identifying causality in the response of nonlinear
dynamical systems
[paper]
[poster]
Joseph Massingham, Ole Mattis Nielsen, T Butlin
|
50 |
Meta-Designing Quantum Experiments with Language Models
[paper]
[poster]
Sören Arlt, Haonan Duan, Felix Li, Sang Michael Xie, Yuhuai Wu, Mario
Krenn
|
53 |
A machine learning approach to duality in statistical physics
[paper]
[poster]
Prateek Gupta, Andrea E. V. Ferrari, Nabil Iqbal
|
54 |
Synax: A Differentiable and GPU-accelerated Synchrotron Simulation
Package
[paper]
[poster]
Kangning Diao, Zack Li, Richard D.P. Grumitt, Yi Mao
|
56 |
Explicit and data-Efficient Encoding via Gradient Flow
[paper]
[poster]
Kyriakos Flouris, Anna Volokitin, Gustav Bredell, Ender Konukoglu
|
58 |
Neural network prediction of strong lensing systems with domain
adaptation and uncertainty quantification
[paper]
[poster]
Shrihan Agarwal, Aleksandra Ciprijanovic, Brian Nord
|
59 |
Generation and Human-Expert Evaluation of Interesting Research Ideas using Knowledge Graphs and Large Language Models
[paper]
[poster]
Reproducibility badge 🏅 Xuemei Gu, Mario Krenn
|
60 |
Physics-informed Discovery of State Variables in Second-Order and
Hamiltonian Systems
[paper]
[poster]
Félix Chavelli, Zi-Yu Khoo, Dawen Wu, Jonathan Sze Choong Low, Stéphane
Bressan
|
61 |
Neural 3D Reconstruction of 21-cm Tomographic Data
[paper]
[poster]
Nashwan Sabti, Ram Purandhar Reddy Sudha, Julian B. Muñoz, Siddharth
Mishra-Sharma, Taewook Youn
|
62 |
Machine learned reconstruction of tsunami waves from sparse
observations
[paper]
[poster]
Edward McDugald, Darren Engwirda, Arvind Mohan, Agnese Marcato, Javier E.
Santos
|
65 |
Toward Model-Agnostic Detection of New Physics Using Data-Driven Signal
Regions
[paper]
[poster]
Soheun Yi, John Alison, Mikael Kuusela
|
66 |
Learning Pore-scale Multi-phase Flow from Experimental Data with Graph
Neural Network
[paper]
[poster]
Yuxuan Gu, Catherine Spurin, Gege Wen
|
67 |
Harnessing Loss Decomposition for Long-Horizon Wave Predictions via Deep
Neural Networks
[paper]
[poster]
Indu Kant Deo, Rajeev K. Jaiman
|
68 |
Scalable nonlinear manifold reduced order model for dynamical
systems
[paper]
[poster]
Ivan Zanardi, Alejandro N. Diaz, Seung Whan Chung, Marco Panesi, Youngsoo
Choi
|
69 |
CODES: Benchmarking Coupled ODE Surrogates
[paper]
[poster]Reproducibility badge 🏅
Robin Janssen, Immanuel Sulzer, Tobias Buck Datasets & benchmarks track
|
70 |
Transfer Learning in Materials Informatics: structure-property
relationships through minimal but highly informative multimodal
input
[paper]
[poster]
[video] Dario Massa, Grzegorz
Kaszuba, Stefanos Papanikolaou, Piotr Sankowski
|
71 |
Higher-order cumulants in diffusion models
[paper]
[poster]
Gert Aarts, Diaa Eddin Habibi, Lingxiao Wang, Kai Zhou
|
72 |
Learning functional forms of fragmentation functions for hadron
production using symbolic regression
[paper]
[poster]
Nour Makke, Sanjay Chawla
|
74 |
Training Hamiltonian neural networks without backpropagation
[paper]
[poster]
[video] Atamert
Rahma, Chinmay Datar, Felix Dietrich
|
75 |
Reconstructing micro-magnetic vector fields based on topological charge
distributions via generative neural network systems
[paper]
[poster]
Kyra H. M. Klos, Jan Disselhoff, Karin Everschor-Sitte, Friederike Schmid
|
76 |
PICL: Learning to Incorporate Physical Information When Only
Coarse-Grained Data is Available
[paper]
[poster]
Haodong Feng, Yue Wang, Dixia Fan
|
77 |
Fast GPU-Powered and Auto-Differentiable Forward Modeling of IFU Data
Cubes
[paper]
[poster]
Ufuk Çakır, Anna Lena Schaible, Tobias Buck
|
78 |
LensPINN: Physics Informed Neural Network for Learning Dark Matter
Morphology in Lensing
[paper]
[poster]
Ashutosh Ojha, Sergei Gleyzer, Michael W. Toomey, Pranath Reddy
|
79 |
Deep Learning Based Superconductivity Prediction and Experimental
Tests
[paper]
[poster]
Daniel Kaplan, Adam Zheng, Joanna Blawat, Rongying Jin, Viktor Oudovenko,
Gabriel Kotliar, Weiwei Xie, Anirvan M. Sengupta
|
81 |
Diffusion models for lattice gauge field simulations
[paper]
[poster]
Qianteng Zhu, Gert Aarts, Wei Wang, Kai Zhou, Lingxiao Wang
|
83 |
First High-Resolution Galaxy Simulations Accelerated by a 3D Surrogate
Model for Supernovae
[paper]
[poster]
Keiya Hirashima, Kana Moriwaki, Michiko S. Fujii, Yutaka Hirai, Takayuki
R. Saitoh, Junichiro Makino, Ulrich Philipp Steinwandel, Shirley Ho
|
84 |
Inferring Stability Properties of Chaotic Systems on Autoencoders’
Latent Spaces
[paper]
[poster]
Elise Özalp, Luca Magri
|
88 |
Cosmological super-resolution of the 21-cm signal
[paper]
[poster]
Simon Pochinda, Jiten Dhandha, Anastasia Fialkov, Eloy de Lera Acedo
|
89 |
DiffLense: A Conditional Diffusion Model for Super-Resolution of
Gravitational Lensing Data
[paper]
[poster]
Pranath Reddy, Michael W. Toomey, Hanna Parul, Sergei Gleyzer
|
90 |
Accelerated Bayesian parameter estimation and model selection for
gravitational waves with normalizing flows
[paper]
[poster]
Alicja Polanska, Thibeau Wouters, Peter Tsun Ho Pang, Kaze W. K. Wong,
Jason McEwen
|
91 |
Gaussian Processes for Probabilistic Estimates of Earthquake Ground
Shaking: A 1-D Proof-of-Concept
[paper]
[poster]
Sam A. Scivier, Tarje Nissen-Meyer, Paula Koelemeijer, Atilim Gunes Baydin
|
93 |
Efficient and Unbiased Sampling of Boltzmann Distributions via
Consistency Models
[paper]
[poster]
Fengzhe Zhang, Jiajun He, Laurence Illing Midgley, Javier Antoran, José
Miguel Hernández-Lobato
|
94 |
PCN: a deep learning approach to jet tagging utilizing novel graph
construction methods and Chebyshev graph convolutions
[paper]
[poster]
Mihir Relan, Yash Semlani, Krithik Ramesh
|
96 |
Embedding Theoretical Baselines For Satellite Force Estimations
[paper]
[poster]
Benjamin Y. J. Wong, Sai Sudha Ramesh, Khoo Boo Cheong
|
97 |
DYffCast: Regional Precipitation Nowcasting Using IMERG Satellite Data.
A case study over South America
[paper]
[poster]
Daniel Seal, Rossella Arcucci, Salva Rühling Cachay, César Quilodrán-Casas
|
101 |
D3PU: Denoising Diffusion Detector Probabilistic Unfolding in
High-Energy Physics
[paper]
[poster]
Camila Pazos, Shuchin Aeron, Pierre-Hugues Beauchemin, Vincent Croft,
Martin Klassen, Taritree Wongjirad
|
102 |
CASBI – Chemical Abundance Simulation-Based Inference for Galactic
Archeology
[paper]
[poster]
Giuseppe Viterbo, Tobias Buck
|
103 |
Neural rendering enables dynamic tomography
[paper]
[poster]
Ivan Grega, William F Whitney, Vikram Deshpande
|
104 |
Evaluating Sparse Galaxy Simulations via Out-of-Distribution Detection
and Amortized Bayesian Model Comparison
[paper]
[poster]
Lingyi Zhou, Stefan T. Radev, William H. Oliver, Aura Obreja, Zehao Jin,
Tobias Buck
|
107 |
Domain adaptation in application to gravitational lens finding
[paper]
[poster]
Hanna Parul, Michael W. Toomey, Pranath Reddy, Sergei Gleyzer
|
108 |
TELD: Trajectory-Level Langevin Dynamics for Versatile Constrained
Sampling
[paper]
[poster]
Magnus Petersen, Gemma Roig, Roberto Covino
|
109 |
Dynamic Curriculum Regularization for Enhanced Training of
Physics-Informed Neural Networks
[paper]
[poster]
Callum Duffy, Gergana V. Velikova
|
110 |
Semi-supervised Super-resolution for Gravitational Lenses with Estimated
Degradation Model
[paper]
[poster]
Peimeng Guan, Michael W. Toomey, Sergei Gleyzer
|
111 |
Using different sources of ground truths and transfer learning to
improve the generalization of photometric redshift estimation
[paper]
[poster]
Jonathan Soriano, Srinath Saikrishnan, Vikram Seenivasan, Bernie Boscoe,
Jack Singal, Tuan Do
|
112 |
Can KANs (re)discover predictive models for Direct-Drive Laser
Fusion?
[paper]
[poster]
Rahman Ejaz, Varchas Gopalaswamy, Aarne Lees, Riccardo Betti, Christopher
Kanan
|
113 |
Uncertainty Quantification for Martian Surface Spectral Analysis using
Bayesian Deep Learning
[paper]
[poster]
Mark Hinds, Michael Geyer, Natalie Klein
|
114 |
MRI Parameters Mapping via Gaussian Mixture VAE: Breaking the Assumption
of Independent Pixels
[paper]
[poster]
Moucheng Xu, Yukun Zhou, Tobias Goodwin-Allcock, Kimia Firoozabadi, Joseph
Jacob, Daniel C. Alexander, Paddy J. Slator
|
115 |
Evolutionary and Transformer based methods for Symbolic
Regression
[paper]
[poster]
Samyak Jha, Sergei Gleyzer, Eric A. F. Reinhardt, Victor Baules, Francois
Charton, Nobuchika Okada
|
117 |
MATEY: multiscale adaptive foundation models for spatiotemporal physical
systems
[paper]
[poster]
Pei Zhang, M. Paul Laiu, Matthew R Norman, Doug Stefanski, John Gounley
|
118 |
S-KANformer: Enhancing Transformers for Symbolic Calculations in High
Energy Physics
[paper]
[poster]
Ritesh Bhalerao, Eric A. F. Reinhardt, Sergei Gleyzer, Nobuchika Okada,
Victor Baules
|
119 |
Deep Multimodal Representation Learning for Stellar Spectra
[paper]
[poster]
Tobias Buck, Christian Schwarz
|
120 |
History-Matching of Imbibition Flow in Multiscale Fractured Porous Media
Using Physics-Informed Neural Networks (PINNs)
[paper]
[poster]
Jassem Abbasi, Ben Moseley, Takeshi Kurotori, Ameya D. Jagtap, Anthony
Kovscek, Aksel Hiorth, Pål Østebø Andersen
|
121 |
Domain-Adaptive ML for Surface Roughness Predictions in Nuclear
Fusion
[paper]
[poster]
Shashank Galla, Antonios Alexos, Jay Phil Yoo, Junze Liu, Kshitij
Bhardwaj, Sean Hayes, Monika Biener, Pierre Baldi, Satish Bukkapatnam, Suhas
Bhandarkar
|
122 |
Estimating Dark Matter Halo Masses in Simulated Galaxy Clusters with
Graph Neural Networks
[paper]
[poster]
Nikhil Garuda, John F Wu, Dylan Nelson, Annalisa Pillepich
|
123 |
DeepUQ: Assessing the Aleatoric Uncertainties from two Deep Learning
Methods
[paper]
[poster]
Rebecca Nevin, Brian Nord, Aleksandra Ciprijanovic
|
124 |
Unsupervised Physics-Informed Super-Resolution of Strong Lensing Images
for Sparse Datasets
[paper]
[poster]
Anirudh Shankar, Michael W. Toomey, Sergei Gleyzer
|
125 |
Integrating Generative and Physics-Based Models for Ptychographic
Imaging with Uncertainty Quantification
[paper]
[poster]
Canberk Ekmekci, Tekin Bicer, Zichao (Wendy) Di, Junjing Deng, Mujdat
Cetin
|
127 |
Video-Driven Graph Network-Based Simulators
[paper]
[poster]
Franciszek Szewczyk, Gilles Louppe, Matthia Sabatelli
|
128 |
Taylor Mode Neural Operators: Enhancing Computational Efficiency in
Physics-Informed Neural Operators
[paper]
[poster]
Anas Jnini, Flavio Vella
|
130 |
Neural Embeddings Evolve as Interacting Particles
[paper]
[poster]
Rohan Mehta, Ziming Liu, Max Tegmark
|
131 |
Point cloud diffusion models for the Electron-Ion Collider
[paper]
[poster]
Fernando Torales Acosta, Vinicius Mikuni, Felix Ringer, Nobuo Sato,
Richard Whitehill
|
133 |
Galaxy Dust Maps with Conditional Score Models
[paper]
[poster]
Jared Siegel, Peter Melchior
|
134 |
A perspective on symbolic machine learning in physical sciences
[paper]
[poster]
Nour Makke, Sanjay Chawla Perspectives track
|
135 |
Physics-informed reduced order model with conditional neural
fields
[paper]
[poster]
Minji Kim, Tianshu Wen, Kookjin Lee, Youngsoo Choi
|
137 |
Geometry-aware PINNs for Turbulent Flow Prediction
[paper]
[poster]
Shinjan Ghosh, Julian Busch, Georgia Olympia Brikis, Biswadip Dey
|
138 |
Neural Entropy
[paper]
[poster]
Akhil Premkumar
|
139 |
Learning the Evolution of Physical Structure of Galaxies via Diffusion
Models
[paper]
[poster]
Andrew Lizarraga, Eric Hanchen Jiang, Jacob Nowack, Yun Qi Li, Ying Nian
Wu, Bernie Boscoe, Tuan Do
|
140 |
FB-HyDON: Parameter-Efficient Physics-Informed Operator Learning of
Complex PDEs via Hypernetwork and Finite Basis Domain Decomposition
[paper]
[poster]
Milad Ramezankhani, Rishi Yash Parekh, Anirudh Deodhar, Dagnachew Birru
|
141 |
Towards Commercialization of Tokamaks: Time Series Viewmakers for Robust
Disruption Prediction
[paper]
[poster]
Dhruva Chayapathy, Tavis Siebert, Akshata Kishore Moharir, Lucas Spangher,
Om Manoj Patil, Cristina Rea
|
142 |
Super-Resolution without High-Resolution label for Black Hole
Simulations
[paper]
[poster]
Thomas Helfer, Thomas Edwards, Jessica Dafflon, Kaze W. K. Wong, Matthew
Lyle Olson
|
143 |
Reinforcement Learning for Optimal Control of Adaptive Cell Populations
[paper]
[poster]
Reproducibility badge 🏅 Josiah C Kratz, Jacob Adamczyk
|
145 |
Explainable Deep Learning Framework for SERS Bio-quantification
[paper]
[poster]
Jihan K. Zaki, Jakub Tomasik, Sabine Bahn, Jade A. McCune, Pietro Lio,
Oren A. Scherman
|
146 |
Learning dictionaries of New Physics with sparse local kernels
[paper]
[poster]
Gaia Grosso, Philip Harris, Ekaterina Govorkova, Eric A. Moreno, Ryan
Raikman
|
148 |
Multi-Wavelength Analysis of Kilonova Associated with GRB 230307A:
Accelerated Parameter Estimation and Model Selection Through Likelihood-Free
Inference
[paper]
[poster]
P. Darc, Clecio R. De Bom, Gabriel S. M. Teixeira, Charles Kilpatrick,
Nora F. Sherman, Marcelo P. Albuquerque, Paulo Russano
|
150 |
Multidimensional Deconvolution with Profiling
[paper]
[poster]
Huanbiao Zhu, Mikael Kuusela, Larry Wasserman, Benjamin Nachman, Krish
Desai, Vinicius Mikuni
|
151 |
A Physics-Informed Autoencoder-NeuralODE Framework (Phy-ChemNODE) for
Learning Complex Fuel Combustion Kinetics
[paper]
[poster]
[video] Tadbhagya Kumar, Pinaki
Pal, Anuj Kumar
|
152 |
AICircuit: A Multi-Level Dataset and Benchmark for AI-Driven Analog
Integrated Circuit Design
[paper]
[poster]Reproducibility badge 🏅
Asal Mehradfar, Xuzhe Zhao, Yue Niu, Sara Babakniya, Mahdi Alesheikh,
Hamidreza Aghasi, Salman Avestimehr Datasets & benchmarks track
|
153 |
Real-time Position Reconstruction for the KamLAND-Zen Experiment using
Hardware-AI Co-design
[paper]
[poster]
Alexander Migala, Eugene Ku, Zepeng Li, Aobo Li
|
154 |
Randomized reward redistribution for HPGe waveform classification under
weakly-supervised learning setup
[paper]
[poster]
Sonata Simonaitis-Boyd, Aobo Li
|
156 |
Systematic Uncertainties and Data Complexity in Normalizing
Flows
[paper]
[poster]
Sandip Roy, Yonatan Kahn, Jessie Shelton, Victoria Tiki
|
157 |
Exact and approximate error bounds for physics-informed neural
networks
[paper]
[poster]
Augusto T. Chantada, Pavlos Protopapas, Luca J. Gomez Bachar, Susana J.
Landau, Claudia G. Scóccola
|
158 |
Machine Learning for Reparameterization of Multi-scale Closures
[paper]
[poster]
Hilary Egan, peter ciecielski, hariswaram sitaraman, megan crowley
|
159 |
Uncertainty Quantification From Scaling Laws in Deep Neural
Networks
[paper]
[poster]
Ibrahim Elsharkawy, Yonatan Kahn, Benjamin Hooberman
|
160 |
Reconstruction of Continuous Cosmological Fields from Discrete Tracers
with Graph Neural Networks
[paper]
[poster]
Yurii Kvasiuk, Jordan Krywonos, Matthew C. Johnson, Moritz Münchmeyer
|
161 |
Similarity-Quantized Relative Difference Learning for Improved Molecular
Activity Prediction
[paper]
[poster]
Karina Zadorozhny, Kangway V. Chuang, Bharath Sathappan, Ewan Wallace,
Vishnu Sresht, Colin A Grambow
|
162 |
Joint cosmological parameter inference and initial condition
reconstruction with Stochastic Interpolants
[paper]
[poster]
Carolina Cuesta-Lazaro, Adrian E. Bayer, Michael Samuel Albergo, Siddharth
Mishra-Sharma, Chirag Modi, Daniel J. Eisenstein
|
163 |
Product Manifold Machine Learning for Physics
[paper]
[poster]
Nathaniel S. Woodward, Sang Eon Park, Gaia Grosso, Jeffrey Krupa, Philip
Harris
|
165 |
Equation-driven Neural Networks for Periodic Quantum Systems
[paper]
[poster]
Circe Hsu, Marios Mattheakis, Gabriel R Schleder, Daniel T. Larson
|
166 |
Differentiable Voxel-based X-ray Rendering Improves Sparse-View 3D CBCT
Reconstruction
[paper]
[poster]
[video] Mohammadhossein
Momeni, Vivek Gopalakrishnan, Neel Dey, Polina Golland, Sarah Frisken
|
167 |
GFlowNets for Hamiltonian decomposition in groups of compatible
operators
[paper]
[poster]
Rodrigo Vargas-Hernandez, Isaac L. Huidobro-Meezs, Jun Dai, Guillaume
Rabusseau
|
168 |
Symbolic regression for precision LHC physics
[paper]
[poster]
Manuel Morales-Alvarado, Josh Bendavid, Daniel Conde, Veronica Sanz, Maria
Ubiali
|
169 |
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[paper]
[poster]
Jing-An Sun
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170 |
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[paper]
[poster]
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|
171 |
Neural Networks for Dissipative Physics Using Morse-Feshbach
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[paper]
[poster]
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|
175 |
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[poster]
Eli Gendreau-Distler, Luc Tomas Le Pottier, Haichen Wang
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176 |
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[paper]
[poster]
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177 |
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[poster]
Jingjing Pan, Benjamin Nachman, Vinicius Mikuni, Jay Chan, Krish Desai,
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|
178 |
Uncertainty Quantification for Surface Ozone Emulators using Deep
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[poster]
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180 |
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Saito, Gareth Smith, Anqi Xu
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181 |
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[paper]
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182 |
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[paper]
[poster]
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|
183 |
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[paper]
[poster]
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185 |
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[poster]
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188 |
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Adam, Jarrid Rector-Brooks, Yashar Hezaveh, Laurence Perreault-Levasseur, Yoshua
Bengio, Glen Berseth, Nikolay Malkin
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189 |
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[poster]
Aaron Wang, Abhijith Gandrakota, Elham E Khoda, Vivekanand Gyanchand Sahu,
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190 |
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[poster]
Haotian Cao, Garrett W. Merz, Kyle Cranmer, Gary Shiu
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191 |
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193 |
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[paper]
[poster]
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|
194 |
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[poster]
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|
198 |
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[paper]
[poster]
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|
199 |
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200 |
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[poster]
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201 |
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Ali Hariri, Pierre Vandergheynst
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202 |
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203 |
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204 |
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Fox, Maximilian Swiatlowski, Wojciech T. Fedorko
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206 |
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[paper]
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|
207 |
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208 |
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[poster]
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209 |
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[poster]
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211 |
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212 |
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214 |
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215 |
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217 |
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221 |
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222 |
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224 |
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225 |
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226 |
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227 |
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228 |
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230 |
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[poster]
Yufei Yang
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231 |
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234 |
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Dudley
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235 |
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237 |
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239 |
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241 |
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242 |
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246 |
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248 |
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252 |
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254 |
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255 |
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267 |
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