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Workshop Sat, Dec 6, 2025 • 8:00 AM – 5:00 PM PST

Machine Learning and the Physical Sciences

Nicole Hartman ⋅ Garrett Merz ⋅ Vinicius Mikuni ⋅ Mariel Pettee ⋅ Sebastian Wagner-Carena ⋅ Antoine Wehenkel ⋅ Atilim Gunes Baydin ⋅ Kyle Cranmer ⋅ Siddharth Mishra-Sharma ⋅ Benjamin Nachman ⋅ Brian Nord ⋅ Savannah Thais
Project Page [ OpenReview] 

Abstract

Video

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Schedule

Timezone: America/Los_Angeles
8:15 AM
Opening Remarks
8:30 AM
Michael Albergo
Michael Albergo
9:15 AM
Tess Smidt
Tess Smidt
10:00 AM
Coffee Break
12:00 PM
Lunch Break
1:00 PM
Panel #1: How should we translate ML advances between academia & industry?
Anima Anandkumar ⋅ Peter Harrington ⋅ Laure Zanna
3:30 PM
Coffee Break
4:00 PM
Panel #2: What could the "AlphaFold moment" be for fundamental physics?
Auralee Edelen ⋅ Shirley Ho ⋅ Jascha Sohl-Dickstein ⋅ Daniel Whiteson
High-resolution weak lensing mass mapping from DES-Y3 data using diffusion-based prior
Supranta Boruah ⋅ Michael Jacob ⋅ Riya Maiya ⋅ Raghav Venkataramanan ⋅ Bhuvnesh Jain
Physics-aware Discrete Reparameterization with Symmetry-aware Bayesian Fusion for Multimodal Radiography
Nga T Nguyen-Fotiadis ⋅ Bradley Wolfe ⋅ David P. Broughton ⋅ Zhehui Wang ⋅ Nathan Debardeleben ⋅ Earl Lawrence
Weight-sharing Transformer quantum states with Suzuki–Trotter decompositions
Kimihiro Yamazaki ⋅ Itsushi Sakata ⋅ Takuya Konishi ⋅ Yoshinobu Kawahara
Universal Spectral Tokenization via Self-Supervised Panchromatic Representation Learning
Jeff Shen ⋅ Francois Lanusse ⋅ Liam Parker ⋅ Ollie Liu ⋅ Tom Hehir ⋅ Leopoldo Sarra ⋅ Lucas Meyer ⋅ Micah Bowles ⋅ Sebastian Wagner-Carena ⋅ Helen Qu ⋅ Siavash Golkar ⋅ Alberto Bietti ⋅ Hatim Bourfoune ⋅ Pierre Cornette ⋅ Keiya Hirashima ⋅ Geraud Krawezik ⋅ Ruben Ohana ⋅ Nicholas Lourie ⋅ Michael McCabe ⋅ Rudy Morel ⋅ Payel Mukhopadhyay ⋅ Mariel Pettee ⋅ Kyunghyun Cho ⋅ Miles Cranmer ⋅ Shirley Ho
The Pareto frontier of resilient jet tagging
Rikab Gambhir ⋅ Matt LeBlanc ⋅ Yuanchen Zhou
Implicit Augmentation from Distributional Symmetry in Turbulence Super-Resolution
Julia Balla ⋅ Jeremiah Bailey ⋅ Ali Backour ⋅ Elyssa Hofgard ⋅ Tommi Jaakkola ⋅ Tess Smidt ⋅ Ryley McConkey
Principled Operator Learning in Ocean Dynamics: The Role of Temporal Structure
Vahidreza Jahanmard ⋅ Ali Ramezani-Kebrya ⋅ Robinson Hordoir
Symbolic Regression Is All You Need: From Simulations to Scaling Laws in Binary Neutron Star Mergers
P. Darc ⋅ Clecio Bom ⋅ Charles Kilpatrick ⋅ Bernardo Fraga ⋅ Gabriel Teixeira
Active Learning for Machine Learning Driven Molecular Dynamics
Kevin Bachelor ⋅ Sanya Murdeshwar ⋅ Daniel Sabo ⋅ Razvan Marinescu
RINO: Renormalization Group Invariance with No Labels
Zichun Hao ⋅ Raghav Kansal ⋅ Abhijith Gandrakota ⋅ Chang Sun ⋅ Jennifer Ngadiuba ⋅ Javier Duarte ⋅ Maria Spiropulu
Data-efficient U-Net for Segmentation of Carbide Microstructures in SEM Images of Steel Alloys
Alinda Gerçek ⋅ Till Korten ⋅ Paul Chekhonin ⋅ Maleeha Hassan ⋅ Peter Steinbach
Algebraformer: A Neural Approach to Linear Systems
Pietro Sittoni ⋅ Francesco Tudisco
Developing Surrogates for Epidemic Agent-Based Models via Scientific Machine Learning
Sharv Murgai ⋅ Utkarsh Utkarsh ⋅ Kyle Nguyen ⋅ Alan Edelman ⋅ Erin Acquesta ⋅ Christopher Rackauckas
Forecasting the Ionosphere from Sparse GNSS Data with Temporal-Fusion Transformers
Giacomo Acciarini ⋅ Simone Mestici ⋅ Halil S. Kelebek ⋅ Linnea Wolniewicz ⋅ Michael Vergalla ⋅ Madhulika Guhathakurta ⋅ Umaa Rebbapragada ⋅ Bala Poduval ⋅ Atilim Gunes Baydin ⋅ Frank Soboczenski
The Tokenization Bottleneck: How Vocabulary Extension Improves Chemistry Representation Learning in Pretrained Language Models
Prathamesh Kalamkar ⋅ Meissane Chami ⋅ Ned Letcher ⋅ Sahger Lad ⋅ Shayan Mohanty
From Simulation to Survey: Benchmarking Super-Resolution for LSST-like Lensing Data
Aleksandr Duplinskii ⋅ Pranath Reddy ⋅ Michael Toomey ⋅ Sergei Gleyzer
Governing Equation Discovery with Relaxed Symmetry Constraints
Andrew J Chen ⋅ Jianke Yang ⋅ Rose Yu
HEAL-PINN: Physics-Informed Swin Transformer for Dark Matter Studies for Sparse Lensing Data
Dhruv Srivastava ⋅ Pranath Reddy ⋅ Michael Toomey ⋅ Sergei Gleyzer
Inference of Star Formation and Metallicity Histories from Galaxy Spectra with Score-Based Models
Sacha Perry-Fagant ⋅ Connor Stone ⋅ Yashar Hezaveh ⋅ Laurence Perreault-Levasseur
Hybrid Physical-Neural Simulator for Fast Cosmological Hydrodynamics
Arne Thomsen ⋅ Tilman Tröster ⋅ Francois Lanusse
SAIR: Enabling Deep Learning for Protein-Ligand Interactions with a Synthetic Structural Dataset
Pablo Lemos ⋅ Zane Beckwith ⋅ Sasaank Bandi ⋅ Jordan Crivelli-Decker ⋅ Benjamin Shields ⋅ Thomas Merth ⋅ Punit Jha ⋅ Nicola De Mitri ⋅ Tiffany Callahan ⋅ Romelia Salomon-Ferrer ⋅ Martin Ganahl
Meta-Learning Fourier Neural Operators for Hessian Inversion and Enhanced Variational Data Assimilation
Hamidreza Moazzami ⋅ Asma Jamali ⋅ Nicholas Kevlahan ⋅ Rodrigo Vargas-Hernandez
Vision Transformers for Cosmological Fields: Application to Weak Lensing $\kappa$ Maps
Jash Kakadia ⋅ Shubh Agrawal ⋅ Kunhao Zhong ⋅ Bhuvnesh Jain
An Attention-Based Spatio-Temporal Neural Operator with Uncertainty Quantification for Dynamical Systems
Vispi Karkaria ⋅ Doksoo Lee ⋅ Yi-Ping Chen ⋅ Yue Yu ⋅ Wei Chen
Reinforcement Learning for Ising Models: Datasets and Benchmark
Levy Lin ⋅ Zhiyuan Wang ⋅ Holden C Mac Entee ⋅ Xingjian Zhao ⋅ Xiaoyang Liu
Differentiable Physics-Neural Models enable Learning of Non-Markovian Closures for Accelerated Coarse-Grained Physics Simulations
Tingkai Xue ⋅ Chin Chun Ooi ⋅ Zhengwei Ge ⋅ Fong Leong ⋅ LI Hongying ⋅ Chang Kang
Multimodal Generative Flows for LHC Jets
Darius Faroughy ⋅ César Ali Ojeda Marin ⋅ Manfred Opper
Heterogeneous Point Set Transformers for Segmentation of Multiple View Particle Detectors
Edgar Robles ⋅ Dikshant Sagar ⋅ Alejandro Yankelevich ⋅ Jianming Bian ⋅ Pierre Baldi
Physics-Informed Inverse Design of Optical Coatings using a Differentiable Transfer Matrix Method
Utsa Chattopadhyay ⋅ Florian Carstens ⋅ Morten Steinecke ⋅ Andreas Wienke ⋅ Ingmar Hartl ⋅ Nihat Ay ⋅ Christoph Heyl ⋅ Henrik Tünnermann
Reconstructing the local density field with combined convolutional and point cloud architecture
Baptiste Barthe--Gold ⋅ Nhat-Minh Nguyen ⋅ Leander Thiele
Reversing The Lens: Using Explainable AI To Understand Human Expertise
Roussel Rahman ⋅ Aashwin Mishra ⋅ Wan-Lin Hu
Blind Strong Gravitational Lensing Inversion: Joint Inference of Source and Lens Mass with Score-Based Models
Gabriel Missael Barco ⋅ Ronan Legin ⋅ Connor Stone ⋅ Yashar Hezaveh ⋅ Laurence Perreault-Levasseur
Mind the Gap: Navigating Inference with Optimal Transport Maps
Malte Algren ⋅ Tobias Golling ⋅ Francesco Armando Di Bello ⋅ Chris Pollard
SR-Traffic: Discovering Macroscopic Traffic Flow Models with Symbolic Regression
Simone Manti ⋅ Saeed Mohammadian ⋅ Martin Treiber ⋅ Alessandro Lucantonio
The View From Space: Navigating Instrumentation Differences with EOFMs
Ryan DeMilt ⋅ Nicholas LaHaye ⋅ Karis Tenneson
Angular Sparsity Invariant Tilt Series Generation in Scanning/Transmission Electron Microscopy
Dikshant Sagar ⋅ Zhaoxu Li ⋅ Sherif Abdelkarim ⋅ Joseph Patterson ⋅ Pierre Baldi
Preparing stabilizer states via path-aware reinforcement learning
Krishna Agaram ⋅ Siddhant Midha ⋅ Vikas Garg
High-Fidelity Reconstructions of Strong Lenses in the Data-Driven Generative Modeling Era
Ronan Legin ⋅ Connor Stone ⋅ Alexandre Adam ⋅ Gabriel Missael Barco ⋅ Laurence Perreault-Levasseur ⋅ Yashar Hezaveh
GLOW: A Unified Particle Flow Transformer
Dmitrii Kobylianskii ⋅ Samuel Van Stroud ⋅ Kwok Wong ⋅ Max Hart ⋅ Etienne Dreyer ⋅ Eilam Gross ⋅ Gabriel Facini ⋅ Tim Scanlon
Monte Carlo-Type Neural Operator for One-Dimensional Differential Equations
Salah Eddine Choutri ⋅ Prajwal Chauhan ⋅ Othmane Mazhar ⋅ Saif Eddin Jabari
Warping Away Nonstationarity: Benefits in Mineral Resource Estimation
Fabian Leal-Villaseca ⋅ Mark Lindsay ⋅ Edward Cripps ⋅ Mark Jessell
Manifold Learning for Cosmic Structures
Ana Sofia Uzsoy ⋅ Claire Lamman ⋅ Melanie Weber
From Black Hole to Galaxy: Neural Operator Framework for Accretion and Feedback Dynamics
Nihaal Bhojwani ⋅ Chuwei Wang ⋅ Hai-Yang Wang ⋅ Chang Sun ⋅ Elias Most ⋅ Animashree Anandkumar
Efficient optimization of COHERENT detector design parameters with the Rare Event Surrogate Model
Brian Z. Liu ⋅ Sonata Simonaitis-Boyd ⋅ Ann-Kathrin Schuetz ⋅ Aobo Li ⋅ Zepeng Li
MG-NECOLA: Fast Neural Emulators for Modified Gravity Cosmologies
John Bayron Orjuela-Quintana ⋅ César Toledo ⋅ Elena Giusarma ⋅ Mauricio Reyes Hurtado ⋅ Neerav Kaushal ⋅ Francisco Villaescusa
Differentiable Interference Modeling for Cost-Effective Growth Estimation of Thin Films
Leonard Storcks ⋅ Gunnar Ehlers ⋅ Robin Janssen ⋅ Konrad Storcks ⋅ Tayebeh Ameri ⋅ Tobias Buck
Predicting symbolic ODEs from multiple trajectories
Yakup Şahin ⋅ Sören Becker ⋅ Niki Kilbertus
AutoHood3D: A Multi‑Modal Benchmark for Automotive Hood Design and Fluid–Structure Interaction
Vansh Sharma ⋅ Harish Ganesh ⋅ Maryam Akram ⋅ Wanjiao Liu ⋅ Venkat Raman
Fake It Till You Make It: Multi-Physics Synthesis Breaks the Data Barrier in Chemical Language Models
Naiyu Yin ⋅ Ning Liu ⋅ Jiuzhou Chen ⋅ Brian Lattimer ⋅ Jim Lua ⋅ Yue Yu
Power Ensemble Aggregation for Improved Extreme Event AI Prediction
Julien Collard ⋅ Pierre Gentine ⋅ Tian Zheng
Hybrid Attention State Space Models for Symbolic Calculation of Squared Amplitudes
Karaka Naidu ⋅ Eric Reinhardt ⋅ Victor Baules ⋅ Nobuchika Okada ⋅ Sergei Gleyzer
Neuromorphic Random Walk for Experimental Phosphate Adsorption Modeling
Rodrigo Ferreira ⋅ Rui Ding ⋅ Rapti Ghosh ⋅ Haihui Pu ⋅ Junhong Chen
Intrinsic dimension estimation for Radio Galaxy Zoo using diffusion models
Joan Font-Quer Roset ⋅ Devina Mohan ⋅ Anna Scaife
ASTROCO: Self-Supervised Conformer-Style Transformers for Light-Curve Embeddings
Antony Tan ⋅ Pavlos Protopapas ⋅ Martina Cádiz-Leyton ⋅ Guillermo Cabrera-Vives ⋅ Cristobal Donoso-Oliva ⋅ Ignacio Becker
IonCast: A Deep Learning Framework for Forecasting Ionospheric Dynamics
Halil S. Kelebek ⋅ Linnea Wolniewicz ⋅ Michael Vergalla ⋅ Simone Mestici ⋅ Giacomo Acciarini ⋅ Bala Poduval ⋅ Umaa Rebbapragada ⋅ Madhulika Guhathakurta ⋅ Frank Soboczenski ⋅ Atilim Gunes Baydin
Toward Complete Merger Identification at Cosmic Noon with Deep Learning
Aimee Schechter ⋅ Aleksandra Ciprijanovic ⋅ Becky Nevin ⋅ Laura Blecha ⋅ Julia Comerford ⋅ Aaron Stemo ⋅ Xuejian Shen
Distributed Element-Local Transformer for Scalable and Consistent Mesh-Based Modeling
Shyam Sankaran ⋅ Riccardo Balin ⋅ Bethany Lusch ⋅ Shivam Barwey
Multiscale stochastic parameterization with deep Mori-Zwanzig formalism
Juan Nathaniel ⋅ Carla Roesch ⋅ Jatan Buch ⋅ Kaitlyn Loftus ⋅ Daniel Giles ⋅ Derek DeSantis ⋅ Pierre Gentine
Latent Representation Learning in Heavy-Ion Collisions with MaskPoint Transformer
Jingzong Zhang ⋅ ShuangGuo ⋅ Lilin Zhu ⋅ Lingxiao Wang ⋅ Guo-Liang Ma
Data-driven particle dynamics: Structure-preserving coarse-graining for emergent behavior in non-equilibrium systems
Quercus Hernandez ⋅ Max Win ⋅ Thomas O'Connor ⋅ Paulo Arratia ⋅ Nathaniel Trask
Transformer Embeddings for Fast Microlensing Inference
Nolan Smyth ⋅ Laurence Perreault-Levasseur ⋅ Yashar Hezaveh
Generative Neural Networks for Kerr Combs
Janet zhong ⋅ Eran Lustig ⋅ Shiye Su ⋅ Louise Schul ⋅ Jamison Sloan ⋅ Congyue Deng ⋅ Jelena Vuckovic ⋅ Shanhui Fan
GalaxyScore: Estimating Local Dark Matter Density in Galaxies with Score Matching
Sung Hak Lim ⋅ David Shih ⋅ Matthew Buckley ⋅ Eric Putney
Combining datasets with different ground truths using Low-Rank Adaptation to generalize image-based CNN models for photometric redshift prediction
Vikram Seenivasan ⋅ Srinath Saikrishnan ⋅ Andrew Lizarraga ⋅ Jonathan Soriano ⋅ Bernie Boscoe ⋅ Tuan Do
PDRL: Post-hoc Descriptor-based Residual Learning for Uncertainty-Aware Machine Learning Potentials
Shih-Peng Huang ⋅ Nontawat Charoenphakdee ⋅ Yuta Tsuboi ⋅ Yong-Bin Zhuang ⋅ Wenwen Li
PhysiX: A Foundation Model for Physics Simulations
Tung Nguyen ⋅ Arsh Koneru ⋅ Shufan Li ⋅ Aditya Grover
Generalizing PDE Emulation with Equation-Aware Neural Operators
Qian-Ze Zhu ⋅ Paul Raccuglia ⋅ Michael Brenner
Symbolic Regression via Order-Invariant Embeddings and Sparse Decoding
Krish Malik ⋅ Eric Reinhardt ⋅ Victor Baules ⋅ Nobuchika Okada ⋅ Sergei Gleyzer
Test-time Scaling Techniques in Theoretical Physics - A Comparison of Methods on the TPBench Dataset
Zhiqi Gao ⋅ Tianyi Li ⋅ Yurii Kvasiuk ⋅ Sai Tadepalli ⋅ Daniel Chung ⋅ Maja Rudolph ⋅ Frederic Sala ⋅ Moritz Münchmeyer
Inverse Design with Fourier Neural Operators for Quantum System Control
Anastasia Pipi ⋅ Nivedha Gopinath ⋅ Valentin Duruisseaux ⋅ Myrl Marmarelis ⋅ Taylor Patti ⋅ Brucek Khailany ⋅ Prineha Narang ⋅ Animashree Anandkumar
OptICF: Sample-Efficient Optimization of Implosion Outcomes in Inertial Confinement Fusion
Ricardo Luna Gutierrez ⋅ Vineet Gundecha ⋅ Rahman Ejaz ⋅ Varchas Gopalaswamy ⋅ Riccardo Betti ⋅ Sahand Ghorbanpour ⋅ Aarne Lees ⋅ Soumyendu Sarkar
Sparse Methods for Vector Embeddings of TPC Data
Tyler Wheeler ⋅ Michelle Kuchera ⋅ Raghuram Ramanujan ⋅ Ryan Krupp ⋅ C Wrede ⋅ Saiprasad Ravishankar ⋅ Connor Cross ⋅ Hoi Heung ⋅ Andrew Jones ⋅ Benjamin Votaw
Differentiable Models for Control of Complex Physical Systems: A Case Study in Laser Pulse Shaping
Denis Ilia ⋅ Nihat Ay ⋅ Ingmar Hartl ⋅ Wolfgang Hillert ⋅ Henrik Tünnermann
CIPHER: Scalable Time Series Analysis for Physical Sciences with Application to Solar Wind Phenomena
Jasmine Kobayashi ⋅ Daniela Martin Vega ⋅ Valmir Moraes Filho ⋅ Connor O'Brien ⋅ Jinsu Hong ⋅ Hala LAMDOUAR ⋅ Sairam Sundaresan ⋅ Anna Jungbluth ⋅ Sudeshna Boro Saikia ⋅ Andres Munoz-Jaramillo ⋅ Evangelia Samara ⋅ Joseph Alejandro Gallego Mejia
Scalable Machine Learning Analysis of Parker Solar Probe Solar Wind Data
Daniela Martin Vega ⋅ Connor O'Brien ⋅ Valmir Moraes Filho ⋅ Jinsu Hong ⋅ Jasmine Kobayashi ⋅ Evangelia Samara ⋅ Joseph Alejandro Gallego Mejia
WaveLiT: A Parameter-Efficient Architecture for Neural PDE Solvers
Shyam Sankaran ⋅ Hanwen Wang ⋅ Paris Perdikaris
Towards Universal Neural Operators through Multiphysics Pretraining
Mikhail Masliaev ⋅ Dmitry Gusarov ⋅ Ilya Markov ⋅ Alexander Hvatov
Why is Attention Sparse in Particle Transformer?
Aaron Wang ⋅ Timothy Legge ⋅ Jacob Ortiz ⋅ Victor Limouzi ⋅ Abhijith Gandrakota ⋅ Elham E Khoda ⋅ Zihan Zhao ⋅ Javier Duarte ⋅ Jennifer Ngadiuba ⋅ Richard Cavanaugh
DiffICF : Diffusion-Driven Inverse Modeling for Laser Pulse Design in Inertial Confinement Fusion (MLPS)
Ricardo Luna Gutierrez ⋅ Vineet Gundecha ⋅ Rahman Ejaz ⋅ Varchas Gopalaswamy ⋅ Riccardo Betti ⋅ Sahand Ghorbanpour ⋅ Aarne Lees ⋅ Soumyendu Sarkar
Neural Field Transformations for Hybrid Monte Carlo: Architectural Design and Scaling
Jinchen He ⋅ Xiao-Yong Jin ⋅ James Osborn ⋅ Yong Zhao
Reconstructing Conformal Field Theoretical Composition with Transformers
Haotian Cao ⋅ Garrett Merz ⋅ Kyle Cranmer ⋅ Gary Shiu
Learning IRC-Safe Jet Clustering with Geometric Algebra Transformers
Gregor Kržmanc ⋅ Roberto Seidita ⋅ Annapaola de Cosa
Galactification: painting galaxies onto dark matter only simulations using a transformer-based model
Shivam Pandey ⋅ Christopher Lovell ⋅ Chirag Modi ⋅ Benjamin Wandelt
Electron-Proton Scattering Event Generation using Structured Tokenization
Steven Goldenberg ⋅ Diana McSpadden ⋅ Nobuo Sato ⋅ Kostas Orginos ⋅ Robert Edwards
Appa: Bending Weather Dynamics with Latent Diffusion Models for Global Data Assimilation
Gerome Andry ⋅ Sacha Lewin ⋅ François Rozet ⋅ Omer Rochman Sharabi ⋅ Mangeleer Victor ⋅ Matthias Pirlet ⋅ Elise Faulx ⋅ Gilles Louppe
Foam-Agent: A Multi-Agent Framework for Automating OpenFOAM-based CFD Simulation
Ling YUE ⋅ Nithin Somasekharan ⋅ Tingwen Zhang ⋅ Yadi Cao ⋅ Shaowu Pan
From Descriptions to Chemical Hazards: Predicting Persistence, Bioaccumulation, and Toxicity from Natural Language Using LLMs
Sarathkrishna Swaminathan ⋅ Nathaniel Park ⋅ Eduardo Soares ⋅ Emilio Vital Brazil
FlowLensing: Simulating Gravitational Lensing with Flow Matching
Hamees Sayed ⋅ Pranath Reddy ⋅ Michael Toomey ⋅ Sergei Gleyzer
Tensorization of neural networks for improved privacy and interpretability
José Ramón Pareja Monturiol ⋅ Alejandro Pozas-Kerstjens ⋅ David Perez-Garcia
Learning Data-Efficient and Generalizable Neural Operators via Fundamental Physics Knowledge
Siying Ma ⋅ Mehrdad Momeni Zadeh ⋅ Mauricio Soroco ⋅ Wuyang Chen ⋅ Jiguo Cao ⋅ Vijay Ganesh
Connecting the Dots: A Machine Learning Ready Dataset for Ionospheric Forecasting Models
Linnea Wolniewicz ⋅ Halil S. Kelebek ⋅ Simone Mestici ⋅ Michael Vergalla ⋅ Giacomo Acciarini ⋅ Bala Poduval ⋅ Umaa Rebbapragada ⋅ Madhulika Guhathakurta ⋅ Atilim Gunes Baydin ⋅ Frank Soboczenski
An LLM-driven framework for cosmological model-building and exploration
Nayantara Mudur ⋅ Carolina Cuesta ⋅ Michael Toomey ⋅ Douglas P. Finkbeiner
Learning Pairwise Potentials via Differentiable Recurrent Dynamics
Kenji Komiya ⋅ Andrew Jin ⋅ Ryo Nishikimi ⋅ Kunio Kashino
Transfer Learning Beyond the Standard Model
Veena Krishnaraj ⋅ Adrian Bayer ⋅ Christian Kragh Jespersen ⋅ Peter Melchior
FlowTIE: Flow-based Transport of Intensity Equation for Phase Gradient Estimation from 4D-STEM Data
Maximilian Töllner ⋅ Arya Bangun ⋅ Xuan Zhao ⋅ Christian Kuebel ⋅ Hanno Scharr
Selfish Evolution: Making Discoveries in Extreme Label Noise with the Help of Overfitting Dynamics
Nima Sedaghat ⋅ Tanawan Chatchadanoraset ⋅ Colin Chandler ⋅ Ashish Mahabal ⋅ Maryam Eslami
Multi-modal Foundation Model for Cosmological Simulation Data
Bin Xia ⋅ Nesar Ramachandra ⋅ Azton Wells ⋅ Salman Habib ⋅ John Wise
Reliable Parameter Inference for the Epoch of Reionization using Balanced Neural Ratio Estimation
Diego González-Hernández ⋅ Molly Wolfson ⋅ Joseph Hennawi
Radio Astronomy in the Era of Vision-Language Models: Prompt Sensitivity and Adaptation
Mariia Drozdova ⋅ Erica Lastufka ⋅ Vitaliy Kinakh ⋅ Taras Holotyak ⋅ Daniel Schaerer ⋅ Slava Voloshynovskiy
A Self-Supervised Framework for Robust Multi-Modal Molecular Representation Learning
Indra Priyadarsini S ⋅ Seiji Takeda ⋅ Lisa Hamada ⋅ Sina Klampt ⋅ Takao Moriyama
Machine Learning Reconstruction of High-dimensional Electronic Structure from Angle-resolved Photoemission Spectroscopy
Yu Zhang ⋅ Yong Zhong ⋅ Huy Tran ⋅ Shuyi Li ⋅ Kyuho Lee ⋅ Harold Hwang ⋅ Zhi-Xun Shen ⋅ Chunjing Jia
Learning Spatiotemporal Diffusion Models with Continuous-time PDE Guidance
Juho Latukka ⋅ Markus Heinonen ⋅ Harri Lähdesmäki
Smooth and Sparse Latent Dynamics in Operator Learning with Jerk Regularization
Xiaoyu Xie ⋅ Saviz Mowlavi ⋅ Mouhacine Benosman
Geometric Operator Learning with Optimal Transport
Xinyi Li ⋅ Zongyi Li ⋅ Nikola Kovachki ⋅ Animashree Anandkumar
Robust $\mathbf{M_h}$ using HaloFlow with Domain Adaptation
Nikhil Garuda ⋅ Khee-Gan Lee ⋅ ChangHoon Hahn ⋅ Connor Bottrell
Diffusion-Based Electromagnetic Inverse Design of Scattering Structured Media
Mikhail Tsukerman ⋅ Konstantin Grotov ⋅ Pavel Ginzburg
What Machine Learning Methods is Physics invested in?
Steve Schmerler ⋅ Peter Steinbach
Seeing the Forest Through the Trees: Knowledge Retrieval for Streamlining Particle Physics Analysis
James McGreivy ⋅ Blaise Delaney ⋅ Anja Beck ⋅ Mike Williams
Sparse Interpretable Deep Learning with LIES Networks for Symbolic Regression
Mansooreh Montazerin ⋅ Majd Al Aawar ⋅ Antonio Ortega ⋅ Ajitesh Srivastava
Caffarelli Regularity and Hierarchical Phase Boundaries in Diffusion Model Latent Space
Alexander Lobashev ⋅ Dmitry Guskov ⋅ Victor Kawasaki-Borruat ⋅ Maria Larchenko
A Preliminary Study into the Conceptual Design of Aircraft using Simulation-Based Inference
Aurelien Ghiglino ⋅ Daniel Elenius ⋅ Anirban Roy ⋅ Ramneet Kaur ⋅ Manoj Acharya ⋅ Colin Samplawski ⋅ Brian Matejek ⋅ Susmit Jha ⋅ Juan Alonso ⋅ Adam Cobb
Continual Learning for Particle Accelerators
Kishansingh Rajput ⋅ Malachi Schram ⋅ Willem Blokland ⋅ Alexander Zhukov ⋅ Sen Lin
SeasonCast: A Masked Latent Diffusion Model for Skillful Subseasonal-to-Seasonal Prediction
Tung Nguyen ⋅ Tuan Pham ⋅ Troy Arcomano ⋅ Rao Kotamarthi ⋅ Ian Foster ⋅ Sandeep Madireddy ⋅ Aditya Grover
Uncovering Solar Wind Phenomena with iSAX, HDBScan, Human-in-the-loop and PSP Observations
Valmir Moraes Filho ⋅ Daniela Martin Vega ⋅ Jasmine Kobayashi ⋅ Connor O'Brien ⋅ Jinsu Hong ⋅ Evangelia Samara ⋅ Joseph Alejandro Gallego Mejia
Squeezed Diffusion Models
Jyotirmai Singh ⋅ Samar Khanna ⋅ James Burgess
SoDaDE: Solvent Data-Driven Embeddings with Small Transformer Models
Gabriel Gibberd ⋅ Jose Pablo Folch ⋅ Antonio del Rio Chanona
Automating High Energy Physics Data Analysis with LLM-Powered Agents
Eli Gendreau-Distler ⋅ Luc Le Pottier ⋅ Chengxi Yang ⋅ Dongwon Kim ⋅ Joshua Ho ⋅ Haichen Wang
Agentic AI at the Advanced Light Source
Thorsten Hellert ⋅ João Montenegro ⋅ Antonin Sulc
Investigating PDE Residual Attentions in Frequency Space for Diffusion Neural Operators
Medha Sawhney ⋅ Abhilash Neog ⋅ Mridul Khurana ⋅ Arka Daw ⋅ Anuj Karpatne
Autonomous Pressure Control in MuVacAS via Deep Reinforcement Learning and Deep Learning Surrogate Models
Guillermo Rodriguez Llorente ⋅ Galo Gallardo ⋅ Rodrigo Morant Navascués ⋅ Nikita Kkhvatkin Petrovsky ⋅ Anderson S. ⋅ Roberto Gómez-Espinosa Martín
Physics-Informed Neural Networks for Modeling Galactic Gravitational Potentials
Charlotte Myers ⋅ Nathaniel Starkman ⋅ Lina Necib
Equivariant Flow Matching for Symmetry-Breaking Bifurcation Problems
Fleur Hendriks ⋅ Ondřej Rokoš ⋅ Martin Doškář ⋅ M.G.D. Geers ⋅ Vlado Menkovski
Optical Diffraction-based Convolution for Semiconductor Mask Optimization
Young-Han Son ⋅ Dong-Hee Shin ⋅ Deok-Joong Lee ⋅ Hyun Jung Lee ⋅ Hyeonyeong Nam ⋅ Tae-Eui Kam
Multi-Modal Masked Autoencoders for Learning Image-Spectrum Associations for Galaxy Evolution and Cosmology
Morgan Himes ⋅ Samiksha Krishnamurthy ⋅ Andrew Lizarraga ⋅ Srinath Saikrishnan ⋅ Vikram Seenivasan ⋅ Jonathan Soriano ⋅ Ying Nian Wu ⋅ Tuan Do
A Privacy-Preserving RAG Chatbot for Physics Collaborations
Abhishikth Mallampalli ⋅ Sridhara Dasu
DNN-based Signal Processing for Liquid Argon Time Projection Chambers
Mun Jung Jung ⋅ Gray Putnam ⋅ Haiwang Yu ⋅ Avinay Bhat
Generation-Based Multi-Modal Anomaly Detection for Nuclear Fusion Target Polishing
Sherif Abdelkarim ⋅ Antonios Alexos ⋅ Shashank Galla ⋅ Vikash Sunkara ⋅ Kshitij Bhardwaj ⋅ Sean Hayes ⋅ Monika Biener ⋅ Satish Bukkapatnam ⋅ Pierre Baldi ⋅ Suhas Bhandarkar
GeoGraph: Geometric and Graph-based Ensemble Descriptors for Intrinsically Disordered Proteins
Eoin Quinn ⋅ Marco Carobene ⋅ Jean QUENTIN ⋅ Sebastien Boyer ⋅ Miguel Arbesú ⋅ Oliver Bent
An Evaluation of Representation Learning Methods in Particle Physics Foundation Models
Michael Chen ⋅ Raghav Kansal ⋅ Abhijith Gandrakota ⋅ Zichun Hao ⋅ Jennifer Ngadiuba ⋅ Maria Spiropulu
Quantum Boltzmann Machines for Sample-Efficient Reinforcement Learning
Thore Gerlach ⋅ Michael Schenk ⋅ Verena Kain
Locality-Sensitive Hashing-Based Efficient Point Transformer for Charged Particle Reconstruction
Shitij Govil ⋅ Jack Rodgers ⋅ Yuan-Tang Chou ⋅ Siqi Miao ⋅ Amit Saha ⋅ Advaith Anand ⋅ Kilian Lieret ⋅ Gage DeZoort ⋅ Mia Liu ⋅ Javier Duarte ⋅ Pan Li ⋅ Shih-Chieh Hsu
Towards Methane Detection Onboard Satellites
Maggie Chen ⋅ Hala LAMDOUAR ⋅ Luca Marini ⋅ Laura Martínez-Ferrer ⋅ Christopher Bridges ⋅ Giacomo Acciarini
FALCON: An ML Framework for Fully Automated Layout-Constrained Analog Circuit Design
Asal Mehradfar ⋅ Xuzhe Zhao ⋅ Yilun Huang ⋅ Emir Ceyani ⋅ Yankai Yang ⋅ Shihao han ⋅ Hamidreza Aghasi ⋅ Salman Avestimehr
JaxWildfire - A GPU-Accelerated Wildfire Simulator for Reinforcement Learning
Ufuk Çakır ⋅ Victor-Alexandru Darvariu ⋅ Bruno Lacerda ⋅ Nick Hawes
Scalable Inference for LArTPC Signal Processing with MobileU-Net and Overlap–Tile Chunking
Dikshant Sagar ⋅ Edgar Robles ⋅ Sergey Martynenko ⋅ Yiwen Xiao ⋅ Jianming Bian ⋅ Pierre Baldi ⋅ Hokyeong Nam ⋅ Jay Hyun Jo ⋅ Wenqiang Gu ⋅ Brett Viren ⋅ Haiwang Yu
Direct Molecular Polarizability Prediction with $\boldsymbol{SO(3)}$ Equivariant Local Frame GNNs
Jean Philip Filling ⋅ Michael Wand ⋅ Denis Andrienko ⋅ Felix Post
Scheduled Temporal Loss Weighting for Neural Operators
Oluwaseun Coker ⋅ Peter Jimack ⋅ Amirul Khan ⋅ He Wang
Learning Drosophila ventral furrow formation with graph neural networks
Shaoxun Huang ⋅ Haiqian Yang ⋅ Hyuntae Jeong ⋅ Xinran O. Zhao ⋅ Ian Wong ⋅ Markus Buehler ⋅ Adam Martin ⋅ Ming Guo
From Simulations to Surveys: Domain Adaptation for Galaxy Observations
Kaley Brauer ⋅ Aditya Prasad Dash ⋅ Meet Vyas ⋅ Ahmed Salim
PIANO: Physics-informed Dual Neural Operator for Precipitation Nowcasting
Seokhyun Chin ⋅ Woojin Cho ⋅ Junghwan Park
Sub-microsecond Transformers for Jet Tagging on FPGAs
Lauri Laatu ⋅ Chang Sun ⋅ Arianna Cox ⋅ Abhijith Gandrakota ⋅ Benedikt Maier ⋅ Jennifer Ngadiuba ⋅ Zhiqiang Que ⋅ Wayne Luk ⋅ Maria Spiropulu ⋅ Alexander Tapper
Variational Autoencoder with Normalizing flow for X-ray spectral fitting
Fiona Redmen ⋅ Ethan Tregidga ⋅ James Steiner ⋅ Cecilia Garraffo
Fourier Neural Operators for Fast Simulation and Inverse Design of Second-Harmonic Generation in Nanophotonics
Valentin Duruisseaux ⋅ Robert Gray ⋅ Siyuan Jiang ⋅ Selina Zhou ⋅ Robert Joseph George ⋅ Kamyar Azizzadenesheli ⋅ Alireza Marandi ⋅ Animashree Anandkumar
The Platonic Universe: Do Foundation Models See the Same Sky?
Kshitij Duraphe ⋅ Michael Smith ⋅ Shashwat Sourav ⋅ John Wu
Learning Dissipative Subgrid Physics in Relativistic Hydrodynamics with Neural Operators
Ansh Desai ⋅ Valentin Duruisseaux ⋅ Chuwei Wang ⋅ Hai-Yang Wang ⋅ Elias Most ⋅ Animashree Anandkumar
Fourier–Thermodynamic Latent Modeling for Temperature-Dependent Plasma Mixing
Jannik Eisenlohr ⋅ Youngsoo Choi ⋅ Michael Murillo
What We Don't C: Representations for scientific discovery beyond VAEs.
Brian Rogers ⋅ Micah Bowles ⋅ Chris Lintott ⋅ Steve Croft
Mars-Bench: A Benchmark for Evaluating Foundation Models for Mars Science Tasks
Mirali Purohit ⋅ Bimal Gajera ⋅ Vatsal Malaviya ⋅ Irish Mehta ⋅ Kunal Kasodekar ⋅ Jacob Adler ⋅ Steven Lu ⋅ Umaa Rebbapragada ⋅ Hannah Kerner
PI-NAV: Physics-Informed Universal Differential Equations for Enhanced Nanorobot Navigation through Complex Bio-environments
Tarushri N. S. ⋅ Prathamesh Dinesh Joshi ⋅ Raj Dandekar ⋅ Rajat Dandekar ⋅ Sreedath Panat
Scalable and accurate simulations of the Hubbard model with neural quantum states
Ao Chen ⋅ Christopher Roth ⋅ Zhou-Quan Wan ⋅ Anirvan Sengupta ⋅ Antoine Georges
Graph-based Neural Space Weather Forecasting
Daniel Holmberg ⋅ Ivan Zaitsev ⋅ Markku Alho ⋅ Ioanna Bouri ⋅ Fanni Franssila ⋅ Haewon Jeong ⋅ Minna Palmroth ⋅ Teemu Roos
FOXES: A Framework For Operational X-ray Emission Synthesis
Griffin Goodwin ⋅ Jayant Biradar ⋅ Alison March ⋅ Christoph Schirninger ⋅ Robert Jarolim ⋅ Angelos Vourlidas
Adaptive Online Emulation for Accelerating Complex Physical Simulations
Tara Tahseen ⋅ Nikos Nikolaou ⋅ Luís F. Simões ⋅ Kai Hou Yip ⋅ Joao M. Mendonca ⋅ Ingo Waldmann
Amortizing Gravitational Wave Inference with Transformers
Annalena Kofler ⋅ Maximilian Dax ⋅ Stephen Green ⋅ Jonas Wildberger ⋅ Nihar Gupte ⋅ Jonathan Gair ⋅ Jakob H Macke ⋅ Alessandra Buonanno ⋅ Bernhard Schölkopf
Deep vs. Shallow: Benchmarking Physics-Informed Neural Architectures on the Biharmonic Equation
Akshay Govind Srinivasan ⋅ Vikas Dwivedi ⋅ Balaji Srinivasan
Uncovering Physical Drivers of Dark Matter Halo Structures with Auxiliary‑Variable‑Guided Generative Models
Arkaprabha Ganguli ⋅ Anirban Samaddar ⋅ Florian Kéruzoré ⋅ Nesar Ramachandra ⋅ Julie Bessac ⋅ Sandeep Madireddy ⋅ Emil Constantinescu
Learning Quantum Data Distribution via Chaotic Quantum Diffusion Model
Hoan Tran ⋅ Koki Chinzei ⋅ Yasuhiro Endo ⋅ Hirotaka Oshima
Generating Calabi-Yau manifolds with transformers
Charles Arnal ⋅ Jacky H. T. Yip ⋅ Francois Charton ⋅ Gary Shiu
FoamGPT: A Fine-Tuned Language Model for Automation of CFD Simulations with OpenFOAM
Ling YUE ⋅ Peijing Xu ⋅ Tingwen Zhang ⋅ Nithin Somasekharan ⋅ Shaowu Pan
Uncertainty based Online Ensemble on Non-Stationary Data for Fusion Science
Kishansingh Rajput ⋅ Sen Lin ⋅ Malachi Schram ⋅ Brian Sammuli
Modeling X-ray photon pile-up with a normalizing flow
Ole Koenig ⋅ Rafael Martínez-Galarza ⋅ Douglas P. Finkbeiner ⋅ Daniela Huppenkothen ⋅ Christian Kirsch ⋅ James Steiner ⋅ Joern Wilms ⋅ Justina Yang
Lens-JEPA: Physics Informed Joint Embedding Predictive Architecture for Gravitational Lensing
J Rishi ⋅ Pranath Reddy ⋅ Michael Toomey ⋅ Sergei Gleyzer
Lightweight Fourier Neural Operator for Time-Dependent Partial Differential Equations
Dawon Ahn ⋅ Satish Chandran ⋅ Daniel Leibovici ⋅ Nikola Kovachki ⋅ Vagelis Papalexakis ⋅ Jean Kossaifi
Spectroscopic Completeness and Photometric Redshift Performance in Astronomical Foundation Models
Andrew Engel ⋅ Hailey Widger ⋅ Annika Peter ⋅ Peter Taylor
Surrogate Neural Architecture Codesign Package (SNAC-Pack)
Jason Weitz ⋅ Dmitri Demler ⋅ Benjamin Hawks ⋅ Nhan Tran ⋅ Javier Duarte
Sequential decoder training for improved latent space dynamics identification
William Anderson ⋅ Youngsoo Choi ⋅ Seung Whan Chung
Neural Deprojection of Galaxy Stellar Mass Profiles
Misha Yantovski-Barth ⋅ Hengyue Zhang ⋅ Nolan Smyth ⋅ Connor Stone ⋅ Yashar Hezaveh ⋅ Laurence Perreault-Levasseur ⋅ Martin Bureau
Extrapolating Phase-Field Simulations in Space and Time with Purely Convolutional Architectures
Christophe Bonneville ⋅ Nathan Bieberdorf ⋅ Pieterjan Robbe ⋅ Mark Asta ⋅ Habib Najm ⋅ Laurent Capolungo ⋅ Cosmin Safta
TeBaAb: Text-Based Antigen-Conditioned Antibody Redesign via Directed Evolution
Cuong Nguyen ⋅ Huy-Hoang Do-Huu ⋅ Viet Nguyen ⋅ Truong-Son Hy
Fast PINN Eigensolvers via Biconvex Reformulation
Akshay Sai Banderwaar ⋅ Abhishek Gupta
Simulation-based inference for neutrino interaction model parameter tuning
Karla Tame-Narvaez ⋅ Aleksandra Ciprijanovic ⋅ Steven Gardiner ⋅ Giuseppe Cerati
Geometry‑Aware Hemodynamics via a Transformer Encoder and Anisotropic RBF Decoder
Reza Akbarian Bafghi ⋅ Sukirt Thakur ⋅ Maziar Raissi
Equivariant Compression of Quantum Operator Representations
Jigyasa Nigam ⋅ Utku Sirin ⋅ Tess Smidt ⋅ Stratos Idreos
Topology-Agnostic Event Reconstruction with Hierarchical Graph Neural Networks
Nathalie Soybelman ⋅ Francesco Armando Di Bello ⋅ Nilotpal Kakati ⋅ Eilam Gross
Latent Nonlinear Wave Dynamics in Image Datasets and Autoencoder Reconstructions
Alexey Yermakov ⋅ Lillian Ratliff ⋅ Nathan Kutz
An end-to-end pipeline for uncertainty-aware validation of generative AI
Giada Chiara Badaracco ⋅ Sean Benevedes ⋅ Gaia Grosso ⋅ Christina Reissel ⋅ Thea Klaeboe Aarrestad ⋅ Philip Harris
Capturing Long-Range Intramolecular Interactions with TDiMS for Interpretable Property Prediction
Lisa Hamada ⋅ Akihiro Kishimoto ⋅ Junta Fuchiwaki ⋅ Kohei Miyaguchi ⋅ Indra Priyadarsini S ⋅ Hirose Masataka ⋅ Seiji Takeda ⋅ Sina Klampt ⋅ Takao Moriyama
Physics-Informed Neural Controlled Differential Equations for Long Horizon Multi-Agent Motion Forecasting
Shounak Sural ⋅ Charles Kekeh ⋅ Wenliang Liu ⋅ Federico Pecora ⋅ Mouhacine Benosman
TGLF-SINN: Deep Learning Surrogate Model for Accelerating Turbulent Transport Modeling in Fusion
Yadi Cao ⋅ Futian Zhang ⋅ Wesley Liu ⋅ Tom Neiser ⋅ Lawson Fuller ⋅ Brian Sammuli ⋅ Rose Yu
Going with the Speed of Sound: Pushing Neural Surrogates into Transonic and Highly Turbulent Regimes
Léo Cotteleer ⋅ Richard Kurle ⋅ Fabian Paischer ⋅ Maurits Bleeker ⋅ Tobias Kronlachner ⋅ Johannes Brandstetter
Revisiting Conditional Whitney Forms: From Structure Preservation to Physics Recovery
Pavlos Kallinikidis ⋅ Paris Perdikaris ⋅ George J. Pappas
A Benchmarking Framework for AI models in Automotive Aerodynamics
Kaustubh Tangsali ⋅ Rishikesh Ranade ⋅ Mohammad Amin Nabian ⋅ Alexey Kamenev ⋅ Peter Sharpe ⋅ Neil Ashton ⋅ Ram Cherukuri ⋅ Sanjay Choudhry
Sampling 3D Molecular Conformers with Diffusion Transformers
J. Thorben Frank ⋅ Winfried Ripken ⋅ Gregor Lied ⋅ Klaus-Robert Müller ⋅ Oliver Unke ⋅ Stefan Chmiela
A Suitable and Interpretable Methodology for FTIR Spectral Classification
Thomas Hartigan ⋅ Tiago Azevedo ⋅ Pietro Lió
Predictions and Corrections: Neural Predictors with Solver-based Correction for ODEs and PDEs
Reza Akbarian Bafghi ⋅ Hasitha De Silva ⋅ Joseph Kocheemoolayil ⋅ John Davenport ⋅ Dawood ⋅ Nastaran Shahmansouri ⋅ Adrian Lew ⋅ Sarah Osentoski ⋅ Hardik Kabaria ⋅ Maziar Raissi
Inverse Autoregressive Flows for Zero Degree Calorimeter fast simulation
Emilia Majerz ⋅ Witold Dzwinel ⋅ Jacek Kitowski
Large Language Model-based Bayesian Optimization for Tokamak Stabilization
Tejus Gupta ⋅ Rohit Sonker ⋅ Efe Mert Karagözlü ⋅ Alexandre Capone ⋅ Barnabas Poczos ⋅ Jeff Schneider