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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 15:15
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Exploring the Optimal Choice for Generative Processes in Diffusion Models: Ordinary vs Stochastic Differential Equations
Yu Cao · Jingrun Chen · Yixin Luo · Xiang ZHOU
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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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Multimodal base distributions for continuous-time normalising flows
Shane Josias · Willie Brink
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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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Unifying Neural Controlled Differential Equations and Neural Flow for Irregular Time Series Classification
YongKyung Oh · Dongyoung Lim · SUNGIL KIM
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Poster
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Thu 8:45
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Generalization bounds for neural ordinary differential equations and deep residual networks
Pierre Marion · Pierre Marion
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Workshop
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Data-Driven Neural-ODE Modeling for Breast Cancer Tumor Dynamics and Progression-Free Survival Predictions
Jinlin Xiang · Bozhao Qi · Qi Tang · Marc Cerou · Wei Zhao
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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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Poster
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Thu 8:45
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Efficient Sampling of Stochastic Differential Equations with Positive Semi-Definite Models
Anant Raj · Umut Simsekli · Alessandro Rudi
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