|
Poster
|
Thu 16:30
|
Abstracted Shapes as Tokens - A Generalizable and Interpretable Model for Time-series Classification
Yunshi Wen · Tengfei Ma · Lily Weng · Lam Nguyen · Anak Agung Julius
|
|
|
Workshop
|
|
Efficient Modeling of Irregular Time-Series with Stochastic Optimal Control
Byoungwoo Park · Hyungi Lee · Juho Lee
|
|
|
Workshop
|
|
Self-Supervised Learning of Disentangled Representations for Multivariate Time-Series
Ching Chang · Chan Chiao-Tung · Wei-Yao Wang · Wen-Chih Peng · Tien-Fu Chen
|
|
|
Workshop
|
|
The Tabular Foundation Model TabPFN Outperforms Specialized Time Series Forecasting Models Based on Simple Features
Shi Bin Hoo · Samuel Müller · David Salinas · Frank Hutter
|
|
|
Workshop
|
|
Preventing Conflicting Gradients in Neural Temporal Point Process Models for Irregular Time Series Data
Tanguy Bosser · Souhaib Ben Taieb
|
|
|
Poster
|
Fri 11:00
|
SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion
Han Lu · Xu-Yang Chen · Han-Jia Ye · De-Chuan Zhan
|
|
|
Workshop
|
|
Critical Evaluation of Time Series Foundation Models in Demand Forecasting
Santosh Puvvada · Satyajit Chaudhuri
|
|
|
Poster
|
Thu 16:30
|
CALANet: Cheap All-Layer Aggregation for Human Activity Recognition
Jaegyun Park · Dae-Won Kim · Jaesung Lee
|
|
|
Workshop
|
|
Towards Long-Context Time Series Foundation Models With A Handful Of Additional Parameters
Nina Żukowska · Mononito Goswami · Michal Wilinski · Willa Potosnak · Artur Dubrawski
|
|
|
Workshop
|
|
Towards Long-Context Time Series Foundation Models
Nina Żukowska · Mononito Goswami · Michal Wilinski · Willa Potosnak · Artur Dubrawski
|
|
|
Affinity Event
|
|
Deep Learning as a Decision Financial Tool in the Oil and Gas Industry
Aguinaldo Junio Flor · Adiel de Almeida Filho
|
|
|
Poster
|
Thu 16:30
|
BackTime: Backdoor Attacks on Multivariate Time Series Forecasting
Xiao Lin · Zhining Liu · Dongqi Fu · Ruizhong Qiu · Hanghang Tong
|
|
