Schedule

Opening Remarks

Invited Talk - Sara Magliacane

Causal vs causality-inspired representation learning

Invited Talk - Sonali Parbhoo

Help – I Need Somebody!
On the Importance of Humans in Sequential Decision-Making

Spotlight QA (Part 1)

Poster Session (Part 1)

Posters for accepted papers at the workshop

(1) CLEEGN: A Convolutional Neural Network for Plug-and-Play Automatic EEG Reconstruction
(2) Exploring a Gradient-based Explainable AI Technique for Time-Series Data
(3) IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers
(4) Time-Dependent Iterative Imputation for Multivariate Longitudinal Clinical Data
(5) Clinical Trajectory Representations for Clustering
(6) Diffsurv: Differentiable sorting for censored time-to-event data.

Invited Talk - Tingting Zhu

The Journey Towards Digital Twins: Current Challenge and Future Applications

Spotlight Presentations (Part 2)

Presentations for top accepted papers at the workshop:

1. Time Series as Images: Vision Transformer for Irregularly Sampled Time Series

2. Detecting Periodic Biases in Wearable-Based Illness Detection Models

3. Modeling Multivariate Biosignals with Graph Neural Networks and Structured State Space

Spotlight QA (Part 2)

Invited Talk - Katherine Heller

MS Mosaic: A Multiple Sclerosis Mobile Study

Invited Talk - Tim Althoff

Time Series Representation Learning from Wearable Devices

Round Table Discussion

Round table discussion with the invited speakers

Closing Remarks

Poster Session (Part 2)

Posters for accepted papers at the workshop

(1) Clinically Relevant Unsupervised Online Representation Learning of ICU Waveforms
(2) Time Series as Images: Vision Transformer for Irregularly Sampled Time Series
(3) SILICONet : A Siamese Lead Invariant Convolutional Network for Ventricular Heartbeat Detection in ECG
(4) ForecastPFN: Universal Forecasting for Healthcare
(5) Modeling Multivariate Biosignals with Graph Neural Networks and Structured State Space
(6) DyNeMoC: A semi-supervised architecture for classifying time series brain data
(7) Variational Modelling of Temporal EHRs for phenotypic clustering
(8)  Labeling EEG Components with a Bag of Waveforms from Learned Dictionaries
(9) Detecting Periodic Biases in Wearable-Based Illness Detection Models