|
Poster
|
Wed 4:30
|
Balanced Resonate-and-Fire Neurons
Saya Higuchi · Sebastian Kairat · Sander Bohte · Sebastian Otte
|
|
|
Poster
|
Wed 4:30
|
Deep Functional Factor Models: Forecasting High-Dimensional Functional Time Series via Bayesian Nonparametric Factorization
Yirui Liu · Xinghao Qiao · Yulong Pei · Liying Wang
|
|
|
Poster
|
Wed 4:30
|
Non-parametric Online Change Point Detection on Riemannian Manifolds
Xiuheng Wang · Ricardo Borsoi · Cédric Richard
|
|
|
Affinity Workshop
|
Mon 5:00
|
Transformer-Based Astronomical Time Series Model with Uncertainty Estimation for Detecting Misclassified Instances
|
|
|
Poster
|
Thu 4:30
|
Interacting Diffusion Processes for Event Sequence Forecasting
Mai Zeng · Florence Regol · Mark Coates
|
|
|
Poster
|
Wed 2:30
|
Integrating Multimodal Data for Joint Generative Modeling of Complex Dynamics
Manuel Brenner · Florian Hess · Georgia Koppe · Daniel Durstewitz
|
|
|
Workshop
|
|
Towards Dynamic Feature Acquisition on Medical Time Series by Maximizing Conditional Mutual Information
Fedor Sergeev · Paola Malsot · Gunnar Ratsch · Vincent Fortuin
|
|
|
Poster
|
Tue 2:30
|
Triadic-OCD: Asynchronous Online Change Detection with Provable Robustness, Optimality, and Convergence
Yancheng Huang · Kai Yang · Zelin Zhu · Leian Chen
|
|
|
Poster
|
Thu 2:30
|
Vocabulary for Universal Approximation: A Linguistic Perspective of Mapping Compositions
Yongqiang Cai
|
|
|
Workshop
|
|
Towards Dynamic Feature Acquisition on Medical Time Series by Maximizing Conditional Mutual Information
Fedor Sergeev · Paola Malsot · Gunnar Ratsch · Vincent Fortuin
|
|
|
Poster
|
Tue 4:30
|
Multi-Patch Prediction: Adapting Language Models for Time Series Representation Learning
Yuxuan Bian · Xuan Ju · Jiangtong Li · Zhijian Xu · Dawei Cheng · Qiang Xu
|
|
|
Poster
|
Wed 4:30
|
MF-CLR: Multi-Frequency Contrastive Learning Representation for Time Series
Jufang Duan · Wei Zheng · Yangzhou Du · Wenfa Wu · Haipeng Jiang · Hongsheng Qi
|
|
