Workshop
D3S3: Data-driven and Differentiable Simulations, Surrogates, and Solvers
Tribhuvanesh Orekondy 路 Arash Behboodi 路 Emilia Magnani 路 Philipp Hennig 路 Paris Perdikaris 路 Kamyar Azizzadenesheli
West Meeting Room 116, 117
Sun 15 Dec, 8:15 a.m. PST
Advancing machine learning research to aid simulations (e.g., improve accuracy, speed) in various domains (e.g., physics, graphics).
Chat is not available.
Timezone: America/Los_Angeles
Schedule
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Sun 8:15 a.m. - 8:30 a.m.
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Introduction and Opening Remarks
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Intro
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SlidesLive Video |
馃敆 |
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Sun 8:30 a.m. - 9:00 a.m.
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Johannes Brandstetter (JKU Linz)
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Invited Talk
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SlidesLive Video |
Johannes Brandstetter 馃敆 |
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Sun 9:00 a.m. - 9:30 a.m.
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Coffee Break
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Coffee Break
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馃敆 |
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Sun 9:30 a.m. - 10:00 a.m.
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Nicholas Nelsen (MIT)
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Invited Talk
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SlidesLive Video |
Nicholas Nelsen 馃敆 |
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Sun 10:00 a.m. - 10:30 a.m.
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Anima Anandkumar (CalTech)
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Invited Talk
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SlidesLive Video |
Anima Anandkumar 馃敆 |
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Sun 10:30 a.m. - 11:00 a.m.
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Sherry Yang (Google Deepmind)
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Invited Talk
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SlidesLive Video |
Sherry Yang 馃敆 |
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Sun 11:00 a.m. - 12:00 p.m.
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Poster Session
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Poster
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馃敆 |
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Sun 12:00 p.m. - 1:00 p.m.
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Lunch Break
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Lunch Break
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馃敆 |
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Sun 1:00 p.m. - 1:30 p.m.
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Nicholas Kr盲mer (Denmark鈥檚 TU)
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Invited Talk
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SlidesLive Video |
Nicholas Kr盲mer 馃敆 |
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Sun 1:30 p.m. - 2:00 p.m.
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Manmohan Chandraker (UC San Diego)
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Invited Talk
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SlidesLive Video |
Manmohan Chandraker 馃敆 |
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Sun 2:00 p.m. - 3:00 p.m.
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Panel Discussion
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Panel Discussion
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SlidesLive Video |
Ilze Amanda Auzina 路 Johannes Brandstetter 路 Sherry Yang 路 Daniel Worrall 路 Nicholas Nelsen 路 Manmohan Chandraker 馃敆 |
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Sun 3:00 p.m. - 3:30 p.m.
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Coffee Break
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Coffee Break
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馃敆 |
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Sun 3:30 p.m. - 4:00 p.m.
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Daniel Worrall (Google Deepmind)
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Invited Talk
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SlidesLive Video |
Daniel Worrall 馃敆 |
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Sun 4:00 p.m. - 4:30 p.m.
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Ilze Amanad Auzina (U v Amsterdam)
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Invited Talk
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SlidesLive Video |
Ilze Amanda Auzina 馃敆 |
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Sun 4:30 p.m. - 4:45 p.m.
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Closing Remarks
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Closing Remarks
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SlidesLive Video |
馃敆 |
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Generative Neural Reparameterization for Differentiable PDE-Constrained Optimization ( Poster ) > link | Archis Joglekar 馃敆 |
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Learning SDE Solutions with Neural Stochastic Flows ( Poster ) > link | Naoki Kiyohara 路 Edward Johns 路 Yingzhen Li 馃敆 |
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Optimizing the IFMIF-DONES Particle Accelerator with Differentiable Deep Learning Surrogate Models ( Poster ) > link | Galo Gallardo 路 Guillermo Rodriguez Llorente 路 Lucas Magari帽os 路 Rodrigo Morant Navascu茅s 路 Nikita Kkhvatkin Petrovsky 路 Roberto G贸mez-Espinosa Mart铆n 馃敆 |
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VehicleSDF: A 3D generative model for constrained engineering design via surrogate modeling ( Poster ) > link | Hayata Morita 路 Kohei Shintani 路 Chenyang Yuan 路 Frank Permenter 馃敆 |
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Spatial Shortcuts in Graph Neural Controlled Differential Equations ( Poster ) > link | Michael Detzel 路 Gabriel Nobis 路 Jackie Ma 路 Wojciech Samek 馃敆 |
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ParaFIND: Parameter Field Inference on Non-uniform Domains using Neural Network ( Poster ) > link | Masmoudi 路 Xuyang Li 路 Nizar Lajnef 路 Vishnu Boddeti 馃敆 |
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Projected Neural Differential Equations for Power Grid Modeling with Constraints ( Poster ) > link | Alistair White 路 Anna B眉ttner 路 Maximilian Gelbrecht 路 Niki Kilbertus 路 Frank Hellmann 路 Niklas Boers 馃敆 |
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Projected Low-Rank Gradient in Diffusion-based Models for Inverse Problems ( Poster ) > link | Rayhan Zirvi 路 Bahareh Tolooshams 路 Animashree Anandkumar 馃敆 |
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Neural Operators as Fast Surrogate Models for the Transmission Loss of Parameterized Sonic Crystals ( Poster ) > link | Jakob Wagner 路 Samuel Burbulla 路 Miguel de Benito Delgado 路 Johannes Schmid 馃敆 |
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ADAGE-Diff: Two-level adaptive agent based modelling for differentiable policy design ( Poster ) > link | Benjamin Patrick Evans 路 Sihan Zeng 路 Sumitra Ganesh 路 Leo Ardon 馃敆 |
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Wave Interpolation Neural Operator: Interpolated Prediction of Electric Fields Across Untrained Wavelengths ( Poster ) > link | Joonyuk Seo 路 Chanik Kang 路 Dongjin Seo 路 Haejun Chung 馃敆 |
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Surrogate-based Physical Error Correction for Spectroscopy Quantification ( Poster ) > link | ruiyuan kang 路 Panagiotis Liatsis 路 Meixia Geng 路 Qingjie Yang 馃敆 |
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Fine-Tuned MLP-Mixer Foundation Models as data-driven Numerical Surrogates? ( Poster ) > link | Imran Nasim 路 Jo茫o Almeida 馃敆 |
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Model Exploration through Marginal Likelihood Entropy Maximisation ( Poster ) > link | Daniel Jarne Ornia 路 Joel Dyer 路 Nicholas Bishop 路 Anisoara Calinescu 路 Michael Wooldridge 馃敆 |
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Efficient Probabilistic Modeling of Crystallization at Mesoscopic Scale ( Poster ) > link | Pol Timmer 路 Koen Minartz 路 Vlado Menkovski 馃敆 |
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Stabilizing Reinforcement Learning in Differentiable Simulation of Deformables ( Poster ) > link | Eliot Xing 路 Vernon Luk 路 Jean Oh 馃敆 |
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From Function to Distribution Modeling: A PAC-Generative Approach to Offline Optimization ( Poster ) > link | Qiang Zhang 路 Ruida Zhou 路 Yang Shen 路 Tie Liu 馃敆 |
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Gradient of Clifford Neural Networks ( Poster ) > link | Takashi Maruyama 路 Francesco Alesiani 馃敆 |
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A neural surrogate solver for radiation transfer ( Poster ) > link | Aleksei Sorokin 路 Xiaoyi Lu 路 Yi Wang 馃敆 |
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Convergence Guarantees for Neural Network-Based Hamilton鈥揓acobi Reachability ( Poster ) > link | William Hofgard 馃敆 |
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GLEAM-AI: Neural Surrogate for Accelerated Epidemic Analytics and Forecasting ( Poster ) > link | Mohammadmehdi Zahedi 路 Dongxia Wu 路 Jessica Davis 路 Yian Ma 路 Alessandro Vespignani 路 Rose Yu 路 Matteo Chinazzi 馃敆 |
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Generative Modeling and Data Augmentation for Power System Production Simulation ( Poster ) > link | Linna Xu 路 Yongli Zhu 馃敆 |
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Improving Generalization of Differentiable Simulator Policies with Sharpness-Aware Optimization ( Poster ) > link | Severin Bochem 路 Eduardo Sanchez 路 Yves Bicker 路 Gabriele Fadini 馃敆 |
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Active Learning for Neural PDE Solvers ( Poster ) > link | Daniel Musekamp 路 Marimuthu Kalimuthu 路 David Holzm眉ller 路 Makoto Takamoto 路 Mathias Niepert 馃敆 |
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Guaranteeing Conservation Laws with Projection in Physics-Informed Neural Networks ( Poster ) > link | Anthony Baez 路 Wang Zhang 路 Ziwen Ma 路 Subhro Das 路 Lam Nguyen 路 Luca Daniel 馃敆 |
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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 ) > link | Jiachen Guo 路 Chanwook Park 路 Xiaoyu Xie 路 Zhongsheng Sang 路 Gregory J. Wagner 路 Kam Liu 馃敆 |
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Using Parametric PINNs for Predicting Internal and External Turbulent Flows ( Poster ) > link | Shinjan Ghosh 路 Amit Chakraborty 路 Georgia Olympia Brikis 路 Biswadip Dey 馃敆 |
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BoostMD: Accelerated Molecular Sampling Leveraging ML Force Field Features ( Poster ) > link | Lars L Schaaf 路 Ilyes Batatia 路 Jules Tilly 路 Tom Barrett 馃敆 |
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When Differentiable Programming Meets Spectral PDE Solver ( Poster ) > link | Qijia Jiang 馃敆 |
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Beyond Closure Models: Learning Chaotic-Systems via Physics-Informed Neural Operators ( Poster ) > link | Chuwei Wang 路 Julius Berner 路 Zongyi Li 路 Di Zhou 路 Jiayun (Peter) Wang 路 H. Jane Bae 路 Animashree Anandkumar 馃敆 |
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The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning ( Poster ) > link |
25 presentersRuben Ohana 路 Michael McCabe 路 Lucas Meyer 路 Rudy Morel 路 Fruzsina Agocs 路 Miguel Beneitez 路 Marsha Berger 路 Blakesly Burkhart 路 Stuart Dalziel 路 Drummond Fielding 路 Daniel Fortunato 路 Jared Goldberg 路 Keiya Hirashima 路 Yan-Fei Jiang 路 Rich Kerswell 路 Suryanarayana Maddu 路 Jonah Miller 路 Payel Mukhopadhyay 路 Stefan Nixon 路 Jeff Shen 路 Romain Watteaux 路 Bruno R茅galdo-Saint Blancard 路 Liam Parker 路 Miles Cranmer 路 Shirley Ho |
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SepONet: Efficient Large-Scale Physics-Informed Operator Learning ( Poster ) > link | Xinling Yu 路 Sean Hooten 路 Ziyue Liu 路 Yequan Zhao 路 Marco Fiorentino 路 Thomas Van Vaerenbergh 路 Zheng Zhang 馃敆 |
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SWOT-based Simulation of River Discharge with Temporal Graph Neural Networks ( Poster ) > link | Kevin Osanlou 路 Thomas Holmes 路 Augusto Getirana 路 tristan cazenave 馃敆 |
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Learning cure kinetics of frontal polymerization PDEs using differentiable simulations ( Poster ) > link | Pengfei Cai 路 Qibang Liu 路 Philippe Geubelle 路 Rafael Gomez-Bombarelli 馃敆 |
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Modelling variation in the forward EMG model. ( Poster ) > link | Dimitrios Chalatsis 路 Alexander Clarke 路 Dario Farina 馃敆 |
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Learning Generative Interactive Environments By Trained Agent Exploration ( Poster ) > link | Naser Kazemi 路 Nedko Savov 路 Danda Pani Paudel 路 Luc V Gool 馃敆 |
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Learnable Subset Perturbations for Understanding Transcriptional Regulatory Redundancy ( Poster ) > link | Junhao Liu 路 Siwei Xu 路 Dylan Riffle 路 Ziheng Duan 路 Jing Zhang 馃敆 |
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Cost Estimation in Unit Commitment Problems Using Simulation-Based Inference ( Poster ) > link | Matthias Pirlet 路 Adrien Bolland 路 Gilles Louppe 路 Damien Ernst 馃敆 |