Workshop

D3S3: Data-driven and Differentiable Simulations, Surrogates, and Solvers

Tribhuvanesh Orekondy · Arash Behboodi · Emilia Magnani · Philipp Hennig · Paris Perdikaris · Kamyar Azizzadenesheli

Project Page [ OpenReview]

Abstract

Advancing machine learning research to aid simulations (e.g., improve accuracy, speed) in various domains (e.g., physics, graphics).

Video

Chat is not available.

Schedule

Timezone: America/Los_Angeles

8:15 AM

Introduction and Opening Remarks Intro

Video

8:30 AM

Johannes Brandstetter (JKU Linz) Invited Talk

Johannes Brandstetter

Video

9:00 AM

Coffee Break Coffee Break

9:30 AM

Nicholas Nelsen (MIT) Invited Talk

Nicholas Nelsen

Video

10:00 AM

Anima Anandkumar (CalTech) Invited Talk

Anima Anandkumar

Video

10:30 AM

Sherry Yang (Google Deepmind) Invited Talk

Sherry Yang

Video

11:00 AM

Poster Session Poster

12:00 PM

Lunch Break Lunch Break

1:00 PM

Nicholas Krämer (Denmark’s TU) Invited Talk

Nicholas Krämer

Video

1:30 PM

Manmohan Chandraker (UC San Diego) Invited Talk

Manmohan Chandraker

Video

2:00 PM

Panel Discussion Panel Discussion

Ilze Amanda Auzina · Johannes Brandstetter · Sherry Yang · Daniel Worrall · Nicholas Nelsen · Manmohan Chandraker

Video

3:00 PM

Coffee Break Coffee Break

3:30 PM

Daniel Worrall (Google Deepmind) Invited Talk

Daniel Worrall

Video

4:00 PM

Ilze Amanad Auzina (U v Amsterdam) Invited Talk

Ilze Amanda Auzina

Video

4:30 PM

Closing Remarks Closing Remarks

Video

Generative Neural Reparameterization for Differentiable PDE-Constrained Optimization Poster

Archis Joglekar

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Learning SDE Solutions with Neural Stochastic Flows Poster

Naoki Kiyohara · Edward Johns · Yingzhen Li

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Optimizing the IFMIF-DONES Particle Accelerator with Differentiable Deep Learning Surrogate Models Poster

Galo Gallardo · Guillermo Rodriguez Llorente · Lucas Magariños · Rodrigo Morant Navascués · Nikita Kkhvatkin Petrovsky · Roberto Gómez-Espinosa Martín

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VehicleSDF: A 3D generative model for constrained engineering design via surrogate modeling Poster

Hayata Morita · Kohei Shintani · Chenyang Yuan · Frank Permenter

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Spatial Shortcuts in Graph Neural Controlled Differential Equations Poster

Michael Detzel · Gabriel Nobis · Jackie Ma · Wojciech Samek

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ParaFIND: Parameter Field Inference on Non-uniform Domains using Neural Network Poster

Masmoudi · Xuyang Li · Nizar Lajnef · Vishnu Boddeti

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Projected Neural Differential Equations for Power Grid Modeling with Constraints Poster

Alistair White · Anna Büttner · Maximilian Gelbrecht · Niki Kilbertus · Frank Hellmann · Niklas Boers

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Projected Low-Rank Gradient in Diffusion-based Models for Inverse Problems Poster

Rayhan Zirvi · Bahareh Tolooshams · Animashree Anandkumar

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Neural Operators as Fast Surrogate Models for the Transmission Loss of Parameterized Sonic Crystals Poster

Jakob Wagner · Samuel Burbulla · Miguel de Benito Delgado · Johannes Schmid

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ADAGE-Diff: Two-level adaptive agent based modelling for differentiable policy design Poster

Benjamin Patrick Evans · Sihan Zeng · Sumitra Ganesh · Leo Ardon

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Wave Interpolation Neural Operator: Interpolated Prediction of Electric Fields Across Untrained Wavelengths Poster

Joonyuk Seo · Chanik Kang · Dongjin Seo · Haejun Chung

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Surrogate-based Physical Error Correction for Spectroscopy Quantification Poster

ruiyuan kang · Panagiotis Liatsis · Meixia Geng · Qingjie Yang

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Fine-Tuned MLP-Mixer Foundation Models as data-driven Numerical Surrogates? Poster

Imran Nasim · João Almeida

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Model Exploration through Marginal Likelihood Entropy Maximisation Poster

Daniel Jarne Ornia · Joel Dyer · Nicholas Bishop · Anisoara Calinescu · Michael Wooldridge

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Efficient Probabilistic Modeling of Crystallization at Mesoscopic Scale Poster

Pol Timmer · Koen Minartz · Vlado Menkovski

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Stabilizing Reinforcement Learning in Differentiable Simulation of Deformables Poster

Eliot Xing · Vernon Luk · Jean Oh

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From Function to Distribution Modeling: A PAC-Generative Approach to Offline Optimization Poster

Qiang Zhang · Ruida Zhou · Yang Shen · Tie Liu

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Gradient of Clifford Neural Networks Poster

Takashi Maruyama · Francesco Alesiani

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A neural surrogate solver for radiation transfer Poster

Aleksei Sorokin · Xiaoyi Lu · Yi Wang

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Convergence Guarantees for Neural Network-Based Hamilton–Jacobi Reachability Poster

William Hofgard

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GLEAM-AI: Neural Surrogate for Accelerated Epidemic Analytics and Forecasting Poster

Mohammadmehdi Zahedi · Dongxia Wu · Jessica Davis · Yian Ma · Alessandro Vespignani · Rose Yu · Matteo Chinazzi

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Generative Modeling and Data Augmentation for Power System Production Simulation Poster

Linna Xu · Yongli Zhu

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Improving Generalization of Differentiable Simulator Policies with Sharpness-Aware Optimization Poster

Severin Bochem · Eduardo Sanchez · Yves Bicker · Gabriele Fadini

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Active Learning for Neural PDE Solvers Poster

Daniel Musekamp · Marimuthu Kalimuthu · David Holzmüller · Makoto Takamoto · Mathias Niepert

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Guaranteeing Conservation Laws with Projection in Physics-Informed Neural Networks Poster

Anthony Baez · Wang Zhang · Ziwen Ma · Subhro Das · Lam Nguyen · Luca Daniel

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Convolutional Hierarchical Deep Learning Neural Networks-Tensor Decomposition (C-HiDeNN-TD): a scalable surrogate modeling approach for large-scale physical systems Poster

Jiachen Guo · Chanwook Park · Xiaoyu Xie · Zhongsheng Sang · Gregory J. Wagner · Kam Liu

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Using Parametric PINNs for Predicting Internal and External Turbulent Flows Poster

Shinjan Ghosh · Amit Chakraborty · Georgia Olympia Brikis · Biswadip Dey

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BoostMD: Accelerated Molecular Sampling Leveraging ML Force Field Features Poster

Lars L Schaaf · Ilyes Batatia · Jules Tilly · Tom Barrett

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When Differentiable Programming Meets Spectral PDE Solver Poster

Qijia Jiang

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Beyond Closure Models: Learning Chaotic-Systems via Physics-Informed Neural Operators Poster

Chuwei Wang · Julius Berner · Zongyi Li · Di Zhou · Jiayun (Peter) Wang · H. Jane Bae · Animashree Anandkumar

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The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning Poster

Ruben Ohana · Michael McCabe · Lucas Meyer · Rudy Morel · Fruzsina Agocs · Miguel Beneitez · Marsha Berger · Blakesly Burkhart · Stuart Dalziel · Drummond Fielding · Daniel Fortunato · Jared Goldberg · Keiya Hirashima · Yan-Fei Jiang · Rich Kerswell · Suryanarayana Maddu · Jonah Miller · Payel Mukhopadhyay · Stefan Nixon · Jeff Shen · Romain Watteaux · Bruno Régaldo-Saint Blancard · Liam Parker · Miles Cranmer · Shirley Ho

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SepONet: Efficient Large-Scale Physics-Informed Operator Learning Poster

Xinling Yu · Sean Hooten · Ziyue Liu · Yequan Zhao · Marco Fiorentino · Thomas Van Vaerenbergh · Zheng Zhang

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SWOT-based Simulation of River Discharge with Temporal Graph Neural Networks Poster

Kevin Osanlou · Thomas Holmes · Augusto Getirana · tristan cazenave

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Learning cure kinetics of frontal polymerization PDEs using differentiable simulations Poster

Pengfei Cai · Qibang Liu · Philippe Geubelle · Rafael Gomez-Bombarelli

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Modelling variation in the forward EMG model. Poster

Dimitrios Chalatsis · Alexander Clarke · Dario Farina

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Learning Generative Interactive Environments By Trained Agent Exploration Poster

Naser Kazemi · Nedko Savov · Danda Pani Paudel · Luc V Gool

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Learnable Subset Perturbations for Understanding Transcriptional Regulatory Redundancy Poster

Junhao Liu · Siwei Xu · Dylan Riffle · Ziheng Duan · Jing Zhang

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Cost Estimation in Unit Commitment Problems Using Simulation-Based Inference Poster

Matthias Pirlet · Adrien Bolland · Gilles Louppe · Damien Ernst

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