Workshop
|
Sun 11:20
|
A Continuous-Time Analysis of Adaptive Optimization and Normalization
Rhys Gould · Hidenori Tanaka
|
|
Workshop
|
|
Continuous-Time Analysis of Adaptive Optimization and Normalization
Rhys Gould · Hidenori Tanaka
|
|
Workshop
|
|
How Discrete and Continuous Diffusion Meet: Comprehensive Analysis of Discrete Diffusion Models via a Stochastic Integral Framework
Yinuo Ren · Haoxuan Chen · Grant Rotskoff · Lexing Ying
|
|
Workshop
|
|
Variational Inference for Interacting Particle Systems with Discrete Latent States
Giosue Migliorini · Padhraic Smyth
|
|
Poster
|
Fri 16:30
|
When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL
Lenart Treven · Bhavya · Yarden As · Florian Dorfler · Andreas Krause
|
|
Poster
|
Fri 11:00
|
Action Gaps and Advantages in Continuous-Time Distributional Reinforcement Learning
Harley Wiltzer · Marc Bellemare · David Meger · Patrick Shafto · Yash Jhaveri
|
|
Poster
|
Wed 16:30
|
Online Control with Adversarial Disturbance for Continuous-time Linear Systems
Jingwei Li · Jing Dong · Can Chang · Baoxiang Wang · Jingzhao Zhang
|
|
Poster
|
Thu 11:00
|
Discrete-state Continuous-time Diffusion for Graph Generation
Zhe Xu · Ruizhong Qiu · Yuzhong Chen · Huiyuan Chen · Xiran Fan · Menghai Pan · Zhichen Zeng · Mahashweta Das · Hanghang Tong
|
|
Poster
|
Fri 16:30
|
A Continuous-time Stochastic Gradient Descent Method for Continuous Data
Kexin Jin · Jonas Latz · Chenguang Liu · Carola-Bibiane Schönlieb
|
|
Poster
|
Wed 11:00
|
Addressing Spatial-Temporal Heterogeneity: General Mixed Time Series Analysis via Latent Continuity Recovery and Alignment
Jiawei Chen · 春晖 赵
|
|
Workshop
|
Sun 14:00
|
Invited Talk by Qingsong Wen - LLM and Foundation Models for Time Series Analysis
|
|
Affinity Event
|
|
CAMELOT++: Enhancing Patient Phenotype Discovery through Time-Series Clustering and Survival Analysis
Katarina Vukosavljević · Henrique Aguiar · Tingting Zhu
|
|