|
Workshop
|
Sat 9:25
|
Q&A Causal feature selection in time series data
|
|
|
Workshop
|
Fri 9:30
|
Performative Prediction in Time Series: A Case Study
Rupali Bhati · Jennifer Jones · Audrey Durand
|
|
|
Workshop
|
Fri 13:00
|
Improving Counterfactual Explanations for Time Series Classification Models in Healthcare Settings
Tina Han · Jette Henderson · Pedram Akbarian Saravi · Joydeep Ghosh
|
|
|
Affinity Workshop
|
|
FMAM: A novel Factorization Machine based Attention Mechanism for Forecasting Time Series Data
Fahim Azad
|
|
|
Workshop
|
Sat 12:30
|
Causal Discovery from Nonstationary Time Series - Biwei Huang
Biwei Huang
|
|
|
Workshop
|
Fri 14:00
|
Panel Discussion: Challenges and lessons learned in deploying ML time series models
|
|
|
Workshop
|
Fri 12:30
|
Prediction-Constrained Markov Models for Medical Time Series with Missing Data and Few Labels
Preetish Rath · Gabe Hope · Kyle Heuton · Erik Sudderth · Michael Hughes
|
|
|
Workshop
|
Fri 8:10
|
Exploiting Variable Correlation with Masked Modeling for Anomaly Detection in Time Series
Panagiotis Lymperopoulos · Yukun Li · Liping Liu
|
|
|
Poster
|
Thu 14:00
|
On the difficulty of learning chaotic dynamics with RNNs
Jonas Mikhaeil · Zahra Monfared · Daniel Durstewitz
|
|
|
Workshop
|
Fri 9:00
|
Empirical Evaluation of Data Augmentations for Biobehavioral Time Series Data with Deep Learning
Huiyuan Yang · Han Yu · Akane Sano
|
|
|
Workshop
|
|
A Balanced Design of Time Series Experiments
Tu Ni · Iavor Bojinov · Jinglong Zhao
|
|
|
Workshop
|
|
Time Series Causal Link Estimation under Hidden Confounding using Knockoff Interventions
Violeta-Teodora Trifunov · Maha Shadaydeh · Joachim Denzler
|
|
