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Poster
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Tue 8:45
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Stabilized Neural Differential Equations for Learning Dynamics with Explicit Constraints
Alistair White · Niki Kilbertus · Maximilian Gelbrecht · Niklas Boers
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Poster
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Thu 15:00
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Neural Ideal Large Eddy Simulation: Modeling Turbulence with Neural Stochastic Differential Equations
Anudhyan Boral · Zhong Yi Wan · Leonardo Zepeda-Núñez · James Lottes · Qing Wang · Yi-Fan Chen · John Anderson · Fei Sha
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Poster
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Wed 15:00
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Self-Supervised Learning with Lie Symmetries for Partial Differential Equations
Grégoire Mialon · Quentin Garrido · Hannah Lawrence · Danyal Rehman · Yann LeCun · Bobak Kiani · Bobak Kiani
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Workshop
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Generalised Hyperbolic State-space Models for Inference in Dynamic Systems
Yaman Kindap · Simon Godsill
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Workshop
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Towards stable real-world equation discovery with assessing differentiating quality influence
Mikhail Masliaev · Ilya Markov · Ilya Markov · Alexander Hvatov · Alexander Hvatov
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Poster
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Tue 8:45
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A Unified Discretization Framework for Differential Equation Approach with Lyapunov Arguments for Convex Optimization
Kansei Ushiyama · Shun Sato · Takayasu Matsuo
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Poster
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Thu 8:45
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D-CIPHER: Discovery of Closed-form Partial Differential Equations
Krzysztof Kacprzyk · Zhaozhi Qian · Mihaela van der Schaar
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Workshop
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CoNO: Complex Neural Operator for Continuous Dynamical Systems
Karn Tiwari · N M Anoop Krishnan · Prathosh AP
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Workshop
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Manifold-augmented Eikonal Equations: Geodesic Distances and Flows on Differentiable Manifolds.
Daniel Kelshaw · Luca Magri
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Workshop
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Causal Modeling with Stationary Diffusions
Lars Lorch · Andreas Krause · Bernhard Schölkopf
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Workshop
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CoDBench: A Critical Evaluation of Data-driven Models for Continuous Dynamical Systems
Priyanshu Burark · Karn Tiwari · Meer Mehran Rashid · Prathosh AP · N M Anoop Krishnan
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Workshop
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BroGNet: Momentum-Conserving Graph Neural Stochastic Differential Equation for Learning Brownian Dynamics
Suresh Bishnoi · Jayadeva Dr · Sayan Ranu · N M Anoop Krishnan
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