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Workshop

NeurIPS 2023 Workshop: Machine Learning and the Physical Sciences

Brian Nord ⋅ Atilim Gunes Baydin ⋅ Adji Bousso Dieng ⋅ Emine Kucukbenli ⋅ Siddharth Mishra-Sharma ⋅ Benjamin Nachman ⋅ Kyle Cranmer ⋅ Gilles Louppe ⋅ Savannah Thais
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Abstract

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Schedule

Timezone: America/Los_Angeles
6:15 AM
Opening remarks
6:55 AM
Interpretable deep learning for protein modeling
Maria Rodriguez Martinez ⋅ Maria Rodriguez Martinez
7:20 AM
Panel on inductive biases and interpretability
Shubhendu Trivedi ⋅ Anuj Karpatne ⋅ Joshua Speagle ⋅ Savannah Thais
8:15 AM
Coffee break
10:00 AM
Lunch break
12:00 PM
Poster session 2
1:15 PM
Coffee break
2:15 PM
Panel on institutional support and funding
Jesse Thaler ⋅ Max Welling ⋅ John Wu ⋅ Sara Hooker
3:15 PM
Closing remarks
KeyCLD: Learning Constrained Lagrangian Dynamics in Keypoint Coordinates from Images
Rembert Daems ⋅ ⋅ Francis Wyffels ⋅ Guillaume Crevecoeur
Extracting an Informative Latent Representation of High-Dimensional Galaxy Spectra
Daiki Iwasaki ⋅ Suchetha Cooray ⋅ Tsutomu Takeuchi
Pay Attention to Mean Fields for Point Cloud Generation
Benno Käch ⋅ Isabell Melzer ⋅ Dirk Krücker
Simulation-based Inference for Cardiovascular Models
Antoine Wehenkel ⋅ Jens Behrmann ⋅ Andy Miller ⋅ Guillermo Sapiro ⋅ Ozan Sener ⋅ Marco Cuturi ⋅ Joern-Henrik Jacobsen
Fast SoC thermal simulation with physics-aware U-Net
Yu-Sheng Lin ⋅ Li-Song Lin ⋅ Chin-Jui Chang ⋅ Ting-Yu Lin ⋅ Shih-Hong Pan ⋅ Ya-Wen Yu ⋅ Kai-En Yang ⋅ Wei Cheng Lee ⋅ Yi-Chen Lin ⋅ Tai-Yu Chen ⋅ Jason Yeh
Unsupervised segmentation of irradiation-induced order–disorder phase transitions in electron microscopy
Arman Ter-Petrosyan ⋅ Jenna A Bilbrey ⋅ Christina Doty ⋅ Bethany Matthews ⋅ Le Wang ⋅ Yingge Du ⋅ Eric Lang ⋅ Khalid Hattar ⋅ Steven Spurgeon
DFT Hamiltonian Neural Network Training with Semi-supervised Learning
Yucheol Cho ⋅ Guenseok Choi ⋅ Gyeongdo Ham ⋅ Mincheol Shin ⋅ Dae-Shik Kim
Predicting Galaxy Interloper Fraction with GNNs
Elena Massara ⋅ Francisco Villaescusa ⋅ Will Percival
ML-Enhanced Generalized Langevin Equation for Transient Anomalous Diffusion in Polymer Dynamics
Gian-Michele Cherchi ⋅ Alain Dequidt ⋅ Patrice Hauret ⋅ Arnaud Guillin ⋅ Vincent Barra ⋅ Nicolas Martzel
Ensemble models outperform single model uncertainties and predictions for operator-learning of hypersonic flows
Victor Leon ⋅ Noah Ford ⋅ Honest Mrema ⋅ Jeffrey Gilbert ⋅ Alexander New
A Multi-Grained Group Symmetric Framework for Learning Protein-Ligand Binding Dynamics
Shengchao Liu ⋅ weitao du ⋅ Yanjing Li ⋅ Nakul Rampal ⋅ Zhuoxinran Li ⋅ Vignesh Bhethanabotla ⋅ Omar Yaghi ⋅ Christian Borgs ⋅ Anima Anandkumar ⋅ Hongyu Guo ⋅ Jennifer Chayes
Hydrogen Diffusion through Polymer using Deep Reinforcement Learning
Tian Sang ⋅ Ken-ichi Nomura ⋅ Aiichiro Nakano ⋅ Rajiv Kalia ⋅ Priya Vashishta
Nonlinear-manifold reduced order models with domain decomposition
Alejandro Diaz ⋅ Youngsoo Choi ⋅ Matthias Heinkenschloss
Extending Explainable Boosting Machines to Scientific Image Data
Daniel Schug ⋅ Sai Yerramreddy ⋅ Rich Caruana ⋅ Craig Greenberg ⋅ Justyna Zwolak
Fast Detection of Phase Transitions with Multi-Task Learning-by-Confusion
Julian Arnold ⋅ Frank Schäfer ⋅ Niels Lörch
A Data-Driven, Non-Linear, Parameterized Reduced Order Model of Metal 3D Printing
Aaron Brown ⋅ Eric Chin ⋅ Youngsoo Choi ⋅ Saad Khairallah ⋅ Joseph McKeown
Pre-training strategy using real particle collision data for event classification in collider physics
Tomoe Kishimoto ⋅ Masahiro Morinaga ⋅ Masahiko Saito ⋅ Junichi Tanaka
Zephyr : Stitching Heterogeneous Training Data with Normalizing Flow for Photometric Redshift Inference
Zechang Sun ⋅ Joshua Speagle ⋅ Song Huang ⋅ Yuan-Sen Ting ⋅ Zheng Cai
Data-Driven Autoencoder Numerical Solver with Uncertainty Quantification for Fast Physical Simulations
Christophe Bonneville ⋅ Youngsoo Choi ⋅ Debojyoti Ghosh ⋅ Jon Belof
Uncovering Conformal Towers Using Deep Learning
Lior Oppenheim ⋅ Zohar Ringel ⋅ Snir Gazit ⋅ Maciej Koch-Janusz
Incremental learning for physics-informed neural networks
Aleksandr Dekhovich ⋅ Marcel Sluiter ⋅ David M.J. Tax ⋅ Miguel Bessa
Differential optimisation for task- and constraint-aware design of particle detectors
Giles Strong ⋅ Maxime Lagrange ⋅ Aitor Orio Alonso ⋅ Anna Bordignon ⋅ Florian Bury ⋅ tommaso dorigo ⋅ Andrea Giammanco ⋅ Mariam Safieldin ⋅ Jan Kieseler ⋅ Max Lamparth ⋅ Pablo Martinez ⋅ Federico Nardi ⋅ Pietro Vischia ⋅ Haitham Zaraket
Neural ODEs as a discovery tool to characterize the structure of the hot galactic wind of M82
Dustin Nguyen ⋅ Yuan-Sen Ting ⋅ Todd Thompson ⋅ Sebastian Lopez ⋅ Laura Lopez
PACuna: Automated Fine-Tuning of Language Models for Particle Accelerators
Antonin Sulc ⋅ Raimund Kammering ⋅ Annika Eichler ⋅ Tim Wilksen
Graph-Theoretical Approaches for AI-Driven Discovery in Quantum Optics
Xuemei Gu ⋅ Carlos Ruiz-Gonzalez ⋅ Sören Arlt ⋅ Tareq Jaouni ⋅ Jan Petermann ⋅ Sharareh Sayyad ⋅ Ebrahim Karimi ⋅ Nora Tischler ⋅ Mario Krenn
Direct Amortized Likelihood Ratio Estimation
Adam Cobb ⋅ Brian Matejek ⋅ Daniel Elenius ⋅ Anirban Roy ⋅ Susmit Jha
Universal Semantic-less Texture Boundary Detection for Microscopy (and Metallography)
Matan Rusanovsky ⋅ Ofer Beeri ⋅ Shai Avidan ⋅ Gal Oren
Information bottleneck learns dominant transfer operator eigenfunctions in dynamical systems
Matthew S. Schmitt ⋅ Maciej Koch-Janusz ⋅ Michel Fruchart ⋅ Daniel Seara ⋅ Vincenzo Vitelli
Causa prima: cosmology meets causal discovery for the first time
Mario Pasquato ⋅ Zehao Jin ⋅ Pablo Lemos ⋅ Benjamin Davis ⋅ Andrea Macciò
Unraveling the Mysteries of Galaxy Clusters: Recurrent Inference Deconvolution of X-ray Spectra
Carter Rhea ⋅ Julie Hlavacek-Larrondo ⋅ Ralph Kraft ⋅ Akos Bogdan ⋅ Laurence Perreault-Levasseur ⋅ Alexandre Adam ⋅ John Zuhone
Scalable physics-guided data-driven component model reduction for Stokes flow
Kevin Chung ⋅ Youngsoo Choi ⋅ Pratanu Roy ⋅ Thomas Moore ⋅ Thomas Roy ⋅ Tiras Y. Lin ⋅ Sarah Baker
Improving dispersive readout of a superconducting qubit by machine learning on path signature
Shuxiang Cao ⋅ Zhen Shao ⋅ Jian-Qing Zheng ⋅ Mustafa Bakr ⋅ Peter Leek ⋅ Terry Lyons
Optimizing Likelihood-free Inference using Self-supervised Neural Symmetry Embeddings
Deep Chatterjee ⋅ Philip Harris ⋅ Maanas Goel ⋅ Malina Desai ⋅ Michael Coughlin ⋅ Erik Katsavounidis
Removing Dust from CMB Observations with Diffusion Models
David Heurtel-Depeiges ⋅ Blakesly Burkhart ⋅ Ruben Ohana ⋅ Bruno Régaldo-Saint Blancard
Transformers for Scattering Amplitudes
Garrett Merz ⋅ Francois Charton ⋅ Tianji Cai ⋅ Kyle Cranmer ⋅ Lance Dixon ⋅ Niklas Nolte ⋅ Matthias Wilhelm
Discovering Galaxy Features via Dataset Distillation
Haowen Guan ⋅ Xuan Zhao ⋅ Zishi Wang ⋅ Zhiyang Li ⋅ Julia Kempe
Modeling Coupled 1D PDEs of Cardiovascular Flow with Spatial Neural ODEs
Hunor Csala ⋅ Arvind Mohan ⋅ Daniel Livescu ⋅ Amirhossein Arzani
Generating Multiphase Fluid Configurations in Fractures using Diffusion Models
Jaehong Chung ⋅ Agnese Marcato ⋅ Eric Guiltinan ⋅ Tapan Mukerji ⋅ Yen Ting Lin ⋅ Javier E. Santos
Redefining Super-Resolution:Fine-mesh PDE predictions without classical simulations
Rajat Sarkar ⋅ Ritam Majumdar ⋅ Vishal Jadhav ⋅ Sagar Srinivas Sakhinana ⋅ Venkataramana Runkana
Discovering Quantum Error Correcting Codes with Deep Reinforcement Learning
Jan Olle ⋅ Remmy Zen ⋅ Matteo Puviani ⋅ Florian Marquardt
Discovering Quantum Circuits for Logical State Preparation with Deep Reinforcement Learning
Remmy Zen ⋅ Jan Olle ⋅ Matteo Puviani ⋅ Florian Marquardt
Learning Hard Distributions with Quantum-enhanced Variational Autoencoders
Anantha Rao ⋅ Dhiraj Madan ⋅ Anupama Ray ⋅ Dhinakaran Vinayagamurthy ⋅ M S Santhanam
Revealing the Mechanism of Large-scale Gradient Systems Using a Neural Reduced Potential
Shunya Tsuji ⋅ Ryo Murakami ⋅ Hayaru Shouno ⋅ Yoh-ichi Mototake
Physical Symbolic Optimization
Wassim Tenachi ⋅ Rodrigo Ibata ⋅ Foivos Diakogiannis
Physics-Informed Tensor Basis Neural Network for Turbulence Closure Modeling
Leon Riccius ⋅ Atul Agrawal ⋅ Phaedon S Koutsourelakis
Orbital-Free Density Functional Theory with Continuous Normalizing Flows
Rodrigo Vargas-Hernandez ⋅ Ricky T. Q. Chen ⋅ Alexandre de Camargo
DeepTreeGANv2: Iterative Pooling of Point Clouds
Moritz A.W. Scham ⋅ Dirk Krücker ⋅ Kerstin Borras
3D Localization of Microparticles from Holographic Images using Neural Networks
Ayush Paliwal ⋅ Oliver Schlenczek ⋅ Birte Thiede ⋅ Gholamhossein Bagheri ⋅ Alexander Ecker
Locating Hidden Exoplanets Using Machine Learning
Jason Terry ⋅ Sergei Gleyzer
AstroYOLO: Learning Astronomy Multi-Tasks in a Single Unified Real-Time Framework
Nodirkhuja Khujaev ⋅ Roman Tsoy ⋅ Seungryul Baek
Coarse graining systems on inhomogeneous graphs using contrastive learning
Doruk Efe Gökmen ⋅ Maciej Koch-Janusz ⋅ Zohar Ringel ⋅ Sebastian Huber ⋅ Felix Flicker ⋅ Sounak Biswas
Understanding Pathologies of Deep Heteroskedastic Regression
Eliot Wong-Toi ⋅ Alex Boyd ⋅ Vincent Fortuin ⋅ Stephan Mandt
Advancing Generative Modelling of Calorimeter Showers on Three Frontiers
Erik Buhmann ⋅ Sascha Diefenbacher ⋅ Engin Eren ⋅ Frank Gaede ⋅ Gregor Kasieczka ⋅ William Korcari ⋅ Anatolii Korol ⋅ Claudius Krause ⋅ Katja Krueger ⋅ Peter McKeown ⋅ Imahn Shekhzadeh ⋅ David Shih
Multi-fidelity Constrained Optimization for Stochastic Black Box Simulators
Kislaya Ravi ⋅ Atul Agrawal ⋅ Phaedon S Koutsourelakis ⋅ Hans-Joachim Bungartz
Activation Functions in Non-Negative Neural Networks
Marlon Becker ⋅ Dominik Drees ⋅ Frank Brückerhoff-Plückelmann ⋅ Carsten Schuck ⋅ Wolfram Pernice ⋅ Benjamin Risse
Tree-Based Algorithms for Weakly Supervised Anomaly Detection
Thorben Finke ⋅ Marie Hein ⋅ Gregor Kasieczka ⋅ Michael Krämer ⋅ Alexander Mück ⋅ Parada Prangchaikul ⋅ Tobias Quadfasel ⋅ David Shih ⋅ Manuel Sommerhalder
Latent space representations of cosmological fields
Sambatra Andrianomena ⋅ Sultan Hassan
Enhancing Data-Assimilation in CFD using Graph Neural Networks
Michele Quattromini ⋅ Michele Alessandro Bucci ⋅ Stefania Cherubini ⋅ Onofrio Semeraro
Enhancing the local expressivity of geometric graph neural networks
Sam Walton Norwood ⋅ Lars L Schaaf ⋅ Ilyes Batatia ⋅ Arghya Bhowmik ⋅ Gabor Csanyi
Domain Adaptation for Measurements of Strong Gravitational Lenses
Paxson Swierc ⋅ Yifan Zhao ⋅ Aleksandra Ciprijanovic ⋅ Brian Nord
Efficient and Robust Jet Tagging at the LHC with Knowledge Distillation
Ryan Liu ⋅ Abhijith Gandrakota ⋅ Jennifer Ngadiuba ⋅ jean-roch vlimant ⋅ Maria Spiropulu
Fast Particle-based Anomaly Detection Algorithm with Variational Autoencoder
Ryan Liu ⋅ Abhijith Gandrakota ⋅ Jennifer Ngadiuba ⋅ jean-roch vlimant ⋅ Maria Spiropulu
Preparing Spectral Data for Machine Learning: A Study of Geological Classification from Aerial Surveys
Jun Woo Chung ⋅ Alex Sim ⋅ Brian Quiter ⋅ Yuxin Wu ⋅ Weijie Zhao ⋅ Kesheng Wu
Smartpixels: Towards on-sensor inference of charged particle track parameters and uncertainties
Lindsey Gray ⋅ Jennet Dickinson ⋅ Rachel Kovach-Fuentes ⋅ Morris Swartz ⋅ Giuseppe Di Guglielmo ⋅ Alice Bean ⋅ Douglas Berry ⋅ Manuel Blanco Valentin ⋅ Karri DiPetrillo ⋅ Farah Fahim ⋅ Jim Hirschauer ⋅ Shruti Kulkarni ⋅ Ron Lipton ⋅ Petar Maksimovic ⋅ Corrinne Mills ⋅ Mark Neubauer ⋅ Benjamin Parpillon ⋅ Gauri Pradhan ⋅ Chinar Syal ⋅ Nhan Tran ⋅ Jieun Yoo ⋅ Aaron Young
On Representations of Mean-Field Variational Inference
Soumyadip Ghosh ⋅ Yingdong Lu ⋅ Tomasz Nowicki ⋅ Edith Zhang
Active learning meets fractal decision boundaries: a cautionary tale from the Sitnikov three body problem
Nicolas Payot ⋅ Mario Pasquato ⋅ Alessandro Alberto Trani ⋅ Yashar Hezaveh ⋅ Laurence Perreault-Levasseur
Machine learning-based compression of quantum many body physics: PCA and autoencoder representation of the vertex function
Jiawei Zang ⋅ Matija Medvidović ⋅ Dominik Kiese ⋅ Domenico Di Sante ⋅ Anirvan Sengupta ⋅ Andy Millis
Domain Adaptive Graph Neural Networks for Constraining Cosmological Parameters Across Multiple Data Sets
Andrea Roncoli ⋅ Aleksandra Ciprijanovic ⋅ M Voetberg ⋅ Francisco Villaescusa ⋅ Brian Nord
Simulation Based Inference of BNS Kilonova Properties: A Case Study with AT2017gfo
Phelipe Darc ⋅ Clecio Bom ⋅ Bernardo Fraga ⋅ Charles D. Kilpatrick
Physics-aware Modeling of an Accelerated Particle Cloud
Emmanuel Goutierre ⋅ Hayg Guler ⋅ Christelle Bruni ⋅ Johanne Cohen ⋅ Michele Sebag
Optimized Dry Cooling for Solar Power Plants
Hansley Narasiah ⋅ Ouail Kitouni ⋅ Andrea Scorsoglio ⋅ Bernd Sturdza ⋅ Shawn Hatcher ⋅ Dolores Garcia ⋅ Matt Kusner
Super-Resolution Emulation of Large Cosmological Fields with a 3D Conditional Diffusion Model
Adam Rouhiainen ⋅ Michael Gira ⋅ Gary Shiu ⋅ Kangwook Lee ⋅ Moritz Münchmeyer
Equivariant Networks for Robust Galaxy Morphology Classification
Sneh Pandya ⋅ Purvik Patel ⋅ Franc O ⋅ Jonathan Blazek
Surrogate Model Training Data for FIDVR-related Voltage Control in Large-scale Power Grids
Tianzhixi Yin ⋅ Renke Huang ⋅ Ramij Raja Hossain ⋅ Qiuhua Huang ⋅ Jie Tan ⋅ Wenhao Yu
Detection and Segmentation of Ice Blocks in Europa's Chaos Terrain Using Mask R-CNN
Marina Dunn ⋅ Conor Nixon ⋅ Alyssa Mills ⋅ Ahmed Awadallah ⋅ Ethan Duncan ⋅ John Santerre ⋅ Douglas Trent ⋅ Andrew Larsen
Pythia: A prototype artificial agent for designing optimal gravitational-wave follow-up campaigns
Niharika Sravan ⋅ Matthew Graham ⋅ Michael Coughlin ⋅ Shreya Anand ⋅ Tomas Ahumada
Probabilistic Reconstruction of Dark Matter fields from galaxies using diffusion models
Carolina Cuesta ⋅ Yueying Ni ⋅ Core Francisco Park ⋅ Nayantara Mudur ⋅ Victoria Ono
Multiscale Feature Attribution for Outliers
Jeff Shen ⋅ Peter Melchior
Learning Reionization History from Quasars with Simulation-Based Inference
Huanqing Chen ⋅ Joshua Speagle ⋅ Keir Rogers
Interpretable Joint Event-Particle Reconstruction at NOvA with Sparse CNNs and Transformers
Alexander Shmakov ⋅ Alejandro Yankelevich ⋅ Jianming Bian ⋅ Pierre Baldi
SimSIMS: Simulation-based Supernova Ia Model Selection with thousands of latent variables
Konstantin Karchev ⋅ Roberto Trotta ⋅ Christoph Weniger
Accelerating Kinetic Simulations of Electrostatic Plasmas with Reduced-Order Modeling
Ping-Hsuan Tsai ⋅ Kevin Chung ⋅ Debojyoti Ghosh ⋅ John Loffeld ⋅ Youngsoo Choi ⋅ Jon Belof
LoDIP: Low-dose phase retrieval with deep image prior
Raunak Manekar ⋅ Elisa Negrini ⋅ Minh Pham ⋅ Daniel Jacobs ⋅ Jaideep Srivastava ⋅ Stanley Osher ⋅ Jianwei Miao
Forward Gradients for Data-Driven CFD Wall Models
Jan Hueckelheim ⋅ Tadbhagya Kumar ⋅ Krishnan Raghavan ⋅ Pinaki Pal
Learning an Effective Evolution Equation for Particle-Mesh Simulations Across Cosmologies
Nicolas Payot ⋅ Pablo Lemos ⋅ Laurence Perreault-Levasseur ⋅ Carolina Cuesta ⋅ Chirag Modi ⋅ Yashar Hezaveh
Active Learning for Discovering Complex Phase Diagrams with Gaussian Processes
Max Zhu ⋅ Jian Yao ⋅ Marcus Mynatt ⋅ Hubert Pugzlys ⋅ Shuyi Li ⋅ Qingyuan Zhao ⋅ Chunjing Jia
Learned integration contour deformation for signal-to-noise improvement in Monte Carlo calculations
William Detmold ⋅ Gurtej Kanwar ⋅ Yin Lin ⋅ Phiala Shanahan ⋅ Michael Wagman
The search for the lost attractor
Mario Pasquato ⋅ Syphax Haddad ⋅ Pierfrancesco Di Cintio ⋅ Alexandre Adam ⋅ Noé Dia ⋅ Mircea Petrache ⋅ Ugo Niccolò Di Carlo ⋅ Alessandro Alberto Trani ⋅ Laurence Perreault-Levasseur ⋅ Yashar Hezaveh ⋅ Pablo Lemos
Field Emulation and Parameter Inference with Diffusion Models
Nayantara Mudur ⋅ Carolina Cuesta ⋅ Douglas P. Finkbeiner
Symbolic Machine Learning for High Energy Physics Calculations
Abdulhakim Alnuqaydan ⋅ Sergei Gleyzer ⋅ Harrison Prosper ⋅ Eric Reinhardt ⋅ Francois Charton ⋅ Neeraj Anand
Leveraging Deep Learning for Physical Model Bias of Global Air Quality Estimates
Kelsey Doerksen ⋅ Yarin Gal ⋅ Freddie Kalaitzis ⋅ Yuliya Marchetti ⋅ Steven Lu ⋅ James Montgomery ⋅ Kazuyuki Miyazaki ⋅ Kevin Bowman
Towards data-driven models of hadronization
Christian Bierlich ⋅ Philip Ilten ⋅ Tony Menzo ⋅ Stephen Mrenna ⋅ Manuel Szewc ⋅ Michael K. Wilkinson ⋅ Ahmed Youssef ⋅ Jure Zupan
From Plateaus to Progress: Unveiling Training Dynamics of PINNs
Daniel Lengyel ⋅ Panos Parpas ⋅ Rahil Pandya
Equivariant Neural Networks for Signatures of Dark Matter Morphology in Strong Lensing Data
Geo Jolly Cheeramvelil ⋅ Michael Toomey ⋅ Sergei Gleyzer
Echoes in the Noise: Posterior Samples of Faint Galaxy Surface Brightness Profiles with Score-Based Likelihoods and Priors
Alexandre Adam ⋅ Connor Stone ⋅ Connor Bottrell ⋅ Ronan Legin ⋅ Laurence Perreault-Levasseur ⋅ Yashar Hezaveh
Deep Learning Segmentation of Spiral Arms and Bars
Mike Walmsley ⋅ Ashley Spindler
Accelerating Flow Simulations using Online Dynamic Mode Decomposition
Seung Won Suh ⋅ Kevin Chung ⋅ Timo Bremer ⋅ Youngsoo Choi
Sparse 3D Images: Point Cloud or Image methods?
Fernando Torales Acosta ⋅ Vinicius Mikuni ⋅ Benjamin Nachman ⋅ Miguel Arratia ⋅ Bishnu Karki ⋅ Ryan Milton ⋅ Piyush Karande ⋅ Aaron Angerami
Classification under Prior Probability Shift in Simulator-Based Inference: Application to Atmospheric Cosmic-Ray Showers
Alexander Shen ⋅ Ann Lee ⋅ Luca Masserano ⋅ tommaso dorigo ⋅ Michele Doro ⋅ Rafael Izbicki
Understanding and Visualizing Droplet Distributions in Simulations of Shallow Clouds
Justus C. Will ⋅ Andrea Jenney ⋅ Kara Lamb ⋅ Mike Pritchard ⋅ Colleen Kaul ⋅ Po-Lun Ma ⋅ Jacob Shpund ⋅ Kyle Pressel ⋅ Marcus van Lier-Walqui ⋅ Stephan Mandt
Beyond PID Controllers: PPO with Neuralized PID Policy for Proton Beam Intensity Control in Mu2e
Jerry Yao-Chieh Hu ⋅ Chenwei Xu ⋅ Aakaash Narayanan ⋅ Mattson Thieme ⋅ Vladimir Nagaslaev ⋅ Mark Austin ⋅ Jeremy Arnold ⋅ Jose Berlioz ⋅ Pierrick Hanlet ⋅ Aisha Ibrahim ⋅ Dennis Nicklaus ⋅ Jovan Mitrevski ⋅ Gauri Pradhan ⋅ Andrea Saewert ⋅ Kiyomi Seiya ⋅ Brian Schupbach ⋅ Randy Thurman-Keup ⋅ Nhan Tran ⋅ Rui Shi ⋅ Seda Ogrenci ⋅ Alexis Maya-Isabelle Shuping ⋅ Kyle Hazelwood ⋅ Han Liu
Loss Functionals for Learning Likelihood Ratios
Shahzar Rizvi ⋅ Mariel Pettee ⋅ Benjamin Nachman
19 Parameters Is All You Need: Tiny Neural Networks for Particle Physics
Alexander Bogatskiy ⋅ Timothy Hoffman ⋅ Jan Offermann
Generative Diffusion Models for Lattice Field Theory
Lingxiao Wang ⋅ Gert Aarts ⋅ Kai Zhou
Reconstruction of Fields from Sparse Sensing: Differentiable Sensor Placement Enhances Generalization
Agnese Marcato ⋅ Daniel O'Malley ⋅ Hari Viswanathan ⋅ Eric Guiltinan ⋅ Javier E. Santos
Learning Dark Matter Representation from Strong Lensing Images through Self-Supervision
Yashwardhan Deshmukh ⋅ Kartik Sachdev ⋅ Michael Toomey ⋅ Sergei Gleyzer
Graph Neural Networks for Identifying Protein Reactive Compounds
Victor Hugo Cano Gil ⋅ Christopher Rowley
Towards out-of-distribution generalization: robust networks learn similar representations
Yash Gondhalekar ⋅ Sultan Hassan ⋅ Naomi Saphra ⋅ Sambatra Andrianomena
Induced Generative Adversarial Particle Transformers
Anni Li ⋅ Venkat Krishnamohan ⋅ Raghav Kansal ⋅ Javier Duarte ⋅ Rounak Sen ⋅ Steven Tsan ⋅ Zhaoyu Zhang
Lensformer: A Physics-Informed Vision Transformer for Gravitational Lensing
Lucas José Velôso de Souza ⋅ Michael Toomey ⋅ Sergei Gleyzer
Self-supervised learning for searching jellyfish galaxies in the ocean of data from upcoming surveys
Yash Gondhalekar ⋅ Rafael de Souza ⋅ Ana Chies Santos ⋅ Carolina Queiroz
Bayesian Simulation-based Inference for Cosmological Initial Conditions
Noemi Anau Montel ⋅ Florian List ⋅ Christoph Weniger
Autoregressive Transformers for Disruption Prediction in Nuclear Fusion Plasmas
Lucas Spangher ⋅ William Arnold ⋅ Alexander Spangher ⋅ Andrew Maris ⋅ Cristina Rea
Machine learning-assisted nanoscale photoelectrical sensing
Ziyan Zhu ⋅ Zhurun (Judy) Ji ⋅ Houssam Yassin ⋅ Zhi-Xun Shen ⋅ Thomas Devereaux
Operator SVD with Neural Networks via Nested Low-Rank Approximation
Jongha (Jon) Ryu ⋅ Xiangxiang Xu ⋅ Hasan Sabri Melihcan Erol ⋅ Yuheng Bu ⋅ Lizhong Zheng ⋅ Gregory Wornell
Gradient weighted physics-informed neural networks for capturing shocks in porous media flows
Somiya Kapoor ⋅ Abhishek Chandra ⋅ Taniya Kapoor ⋅ Mitrofan Curti
The DL Advocate: Playing the devil’s advocate with hidden systematic uncertainties
Andrey Ustyuzhanin ⋅ Andrey Golutvin ⋅ Aleksandr Iniukhin ⋅ Patrick Owen ⋅ Andrea Mauri ⋅ Nicola Serra
Application of Zone Method based Physics-Informed Neural Networks in Reheating Furnaces
Ujjal Dutta ⋅ Aldo Lipani ⋅ Chuan Wang ⋅ Yukun Hu
LEO Satellite Orbit Prediction with Physics Informed Machine Learning
Francesco Alesiani ⋅ Makoto Takamoto ⋅ Toshio Kamiya ⋅ Daisuke Etou
Physically Accurate Fast Nanophotonic Simulations with Physics Informed Model and Training
Ahmet Onur Dasdemir ⋅ Can Dimici ⋅ Aykut Erdem ⋅ Emir Salih Magden
Bayesian Imaging for Radio Interferometry with Score-Based Priors
Noé Dia ⋅ M. J. Yantovski-Barth ⋅ Alexandre Adam ⋅ Micah Bowles ⋅ Pablo Lemos ⋅ Laurence Perreault-Levasseur ⋅ Yashar Hezaveh ⋅ Anna Scaife
Virtual EVE: a Deep Learning Model for Solar Irradiance Prediction
Manuel Indaco ⋅ Daniel Gass ⋅ William Fawcett ⋅ Richard Galvez ⋅ Paul Wright ⋅ Andres Munoz-Jaramillo
High-Cadence Thermospheric Density Estimation enabled by Machine Learning on Solar Imagery
Shreshth Malik ⋅ James Edward Joseph Walsh ⋅ Giacomo Acciarini ⋅ Thomas Berger ⋅ Atilim Gunes Baydin
Ultra Fast Transformers on FPGAs for Particle Physics Experiments
Zhixing Jiang ⋅ Ziang Yin ⋅ Elham E Khoda ⋅ Vladimir Loncar ⋅ Ekaterina Govorkova ⋅ Eric Moreno ⋅ Philip Harris ⋅ Scott Hauck ⋅ Shih-chieh Hsu
Unleashing the Potential of Fractional Calculus in Graph Neural Networks
Qiyu Kang ⋅ Kai Zhao ⋅ Qinxu Ding ⋅ Feng Ji ⋅ Xuhao Li ⋅ WENFEI LIANG ⋅ Yang Song ⋅ Wee Peng Tay
Pseudotime Diffusion
Jacob Moss ⋅ Jeremy England ⋅ Pietro Lió
Reinforcement Learning for Ising Model
Yichen Lu ⋅ Xiao-Yang Liu