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Poster
M2N: Mesh Movement Networks for PDE Solvers
Wenbin Song · Mingrui Zhang · Joseph G Wallwork · Junpeng Gao · Zheng Tian · Fanglei Sun · Matthew Piggott · Junqing Chen · Zuoqiang Shi · Xiang Chen · Jun Wang
Poster
Tue 9:00 On the SDEs and Scaling Rules for Adaptive Gradient Algorithms
Sadhika Malladi · Kaifeng Lyu · Abhishek Panigrahi · Sanjeev Arora
Workshop
Neuro-Symbolic Partial Differential Equation Solver
Pouria Akbari Mistani · Samira Pakravan · Rajesh Ilango · Sanjay Choudhry · Frederic Gibou
Poster
Tue 9:00 Deep Generalized Schrödinger Bridge
Guan-Horng Liu · Tianrong Chen · Oswin So · Evangelos Theodorou
Workshop
One-shot learning for solution operators of partial differential equations
Lu Lu · Anran Jiao · Jay Pathak · Rishikesh Ranade · Haiyang He
Poster
Tue 9:00 A composable machine-learning approach for steady-state simulations on high-resolution grids
Rishikesh Ranade · Chris Hill · Lalit Ghule · Jay Pathak
Poster
Wed 14:00 Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations
Andreas Besginow · Markus Lange-Hegermann
Poster
Wed 14:00 Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules
Kazuki Irie · Francesco Faccio · Jürgen Schmidhuber
Poster
Wed 14:00 Learning to Accelerate Partial Differential Equations via Latent Global Evolution
Tailin Wu · Takashi Maruyama · Jure Leskovec
Workshop
Learning and Shaping Manifold Attractors for Computation in Gated Neural ODEs
Timothy Kim · Tankut Can · Kamesh Krishnamurthy
Poster
Wed 9:00 Learning Modular Simulations for Homogeneous Systems
Jayesh Gupta · Sai Vemprala · Ashish Kapoor
Poster
Thu 9:00 Learning Fractional White Noises in Neural Stochastic Differential Equations
Anh Tong · Thanh Nguyen-Tang · Toan Tran · Jaesik Choi