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Poster
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Tue 8:45
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ODE-based Recurrent Model-free Reinforcement Learning for POMDPs
Xuanle Zhao · Duzhen Zhang · Han Liyuan · Tielin Zhang · Bo Xu
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Workshop
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Semi-Implicit Neural Ordinary Differential Equations for Learning Chaotic Systems
Hong Zhang · Ying Liu · Romit Maulik
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Workshop
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Neural Differential Recurrent Neural Network with Adaptive Time Steps
Yixuan Tan · Liyan Xie · Xiuyuan Cheng
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Affinity Workshop
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Mon 13:30
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Neural ODEs for Modeling Epidemic Spreading
Chrysoula Kosma · Giannis Nikolentzos · Georgios Panagopoulos · Jean-Marc Steyaert · Michalis Vazirgiannis
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Workshop
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Enhanced Distribution Modelling via Augmented Architectures For Neural ODE Flows
Etrit Haxholli · Marco Lorenzi
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Workshop
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Modeling Coupled 1D PDEs of Cardiovascular Flow with Spatial Neural ODEs
Hunor Csala · Arvind Mohan · Daniel Livescu · Amirhossein Arzani
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Workshop
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Sat 9:25
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Adjoint Method: The Connection between Analog-based Equilibrium Propagation Architectures and Neural ODEs
Mohamed Watfa · Alberto Garcia-Ortiz
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Workshop
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Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion
Dongjun Kim · Chieh-Hsin Lai · Wei-Hsiang Liao · Naoki Murata · Yuhta Takida · Toshimitsu Uesaka · Yutong He · Yuki Mitsufuji · Stefano Ermon
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Workshop
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Speeding up astrochemical reaction networks with autoencoders and neural ODEs
Tobias Buck · Immanuel Felix Sulzer
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Workshop
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Hybridizing Physics and Neural ODEs for Predicting Plasma Inductance Dynamics in Tokamak Fusion Reactors
Allen Wang · Cristina Rea · Darren Garnier
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Workshop
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One-Shot Transfer Learning for Nonlinear ODEs
Wanzhou Lei · Pavlos Protopapas · Joy Parikh
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Workshop
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A Holistic Vision: Modeling Patient Trajectories in Longitudinal Medical Imaging
Nico Disch · David Zimmerer
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