|
Poster
|
Thu 4:30
|
Discovering Mixtures of Structural Causal Models from Time Series Data
Sumanth Varambally · Yian Ma · Rose Yu
|
|
|
Poster
|
Tue 2:30
|
Learning Causal Relations from Subsampled Time Series with Two Time-Slices
Anpeng Wu · Haoxuan Li · Kun Kuang · zhang keli · Fei Wu
|
|
|
Workshop
|
|
E-ProTran: Efficient Probabilistic Transformers for Forecasting
Batuhan Koyuncu · Tim N Bauerschmidt · Isabel Valera
|
|
|
Workshop
|
|
Chimera: Effectively Modeling Multivariate Time Series with 2-Dimensional State Space Models
Ali Behrouz · Michele Santacatterina · Ramin Zabih
|
|
|
Affinity Workshop
|
|
Transformer-Based Astronomical Time Series Model with Uncertainty Estimation for Detecting Misclassified Instances
Martina Cádiz-Leyton · Guillermo Cabrera-Vives · Cristobal Donoso · Daniel Moreno-Cartagena · Pavlos Protopapas
|
|
|
Poster
|
Wed 2:30
|
Probabilistic Time Series Modeling with Decomposable Denoising Diffusion Model
Tijin Yan · Hengheng Gong · Yongping He · Yufeng Zhan · Yuanqing Xia
|
|
|
Poster
|
Thu 2:30
|
Memoria: Resolving Fateful Forgetting Problem through Human-Inspired Memory Architecture
Sangjun Park · JinYeong Bak
|
|
|
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
|
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
|
Thu 2:30
|
Timer: Generative Pre-trained Transformers Are Large Time Series Models
Yong Liu · Haoran Zhang · Chenyu Li · Xiangdong Huang · Jianmin Wang · Mingsheng Long
|
|
|
Poster
|
Wed 4:30
|
Balanced Resonate-and-Fire Neurons
Saya Higuchi · Sebastian Kairat · Sander Bohte · Sebastian Otte
|
|
|
Poster
|
Wed 4:30
|
Non-parametric Online Change Point Detection on Riemannian Manifolds
Xiuheng Wang · Ricardo Borsoi · Cédric Richard
|
|
