|
Poster
|
Wed 14:00
|
Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules
Kazuki Irie · Francesco Faccio · Jürgen Schmidhuber
|
|
|
Workshop
|
Sat 8:00
|
Q&A Causal and graphical models for continuous-time event data
|
|
|
Affinity Workshop
|
|
Probabilistic Querying of Continuous-Time Sequential Events
Alex Boyd · Yuxin Chang · Stephan Mandt · Padhraic Smyth
|
|
|
Poster
|
Wed 14:00
|
Thompson Sampling Efficiently Learns to Control Diffusion Processes
Mohamad Kazem Shirani Faradonbeh · Mohamad Sadegh Shirani Faradonbeh · Mohsen Bayati
|
|
|
Workshop
|
Sat 7:05
|
Towards Markov Properties for Continuous-Time Dynamical Systems - Joris Mooij
Joris Mooij
|
|
|
Workshop
|
Sat 7:35
|
Causal and graphical models for continuous-time event data
Vanessa Didelez
|
|
|
Poster
|
Thu 9:00
|
Toward Equation of Motion for Deep Neural Networks: Continuous-time Gradient Descent and Discretization Error Analysis
Taiki Miyagawa
|
|
|
Poster
|
Thu 9:00
|
Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dynamic Graphs
Ming Jin · Yuan-Fang Li · Shirui Pan
|
|
|
Poster
|
Thu 9:00
|
Extrapolative Continuous-time Bayesian Neural Network for Fast Training-free Test-time Adaptation
Hengguan Huang · Xiangming Gu · Hao Wang · Chang Xiao · Hongfu Liu · Ye Wang
|
|
|
Poster
|
Wed 14:00
|
Forward-Backward Latent State Inference for Hidden Continuous-Time semi-Markov Chains
Nicolai Engelmann · Heinz Koeppl
|
|
|
Poster
|
Tue 9:00
|
Anytime-Valid Inference For Multinomial Count Data
Michael Lindon · Alan Malek
|
|
|
Poster
|
Thu 9:00
|
The Stability-Efficiency Dilemma: Investigating Sequence Length Warmup for Training GPT Models
Conglong Li · Minjia Zhang · Yuxiong He
|
|
