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Workshop

Workshop on Learning from Time Series for Health

Sujay Nagaraj ⋅ Walter Gerych ⋅ Sana Tonekaboni ⋅ Thomas Hartvigsen ⋅ Ahmed Alaa ⋅ Emily Fox ⋅ Anna Goldenberg
Project Page [ Contact: wgerych@mit.edu ]

Abstract

Video

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Schedule

Timezone: America/Los_Angeles
12:00 AM
Opening Remarks
12:45 AM
Invited Talk
3:00 AM
Lunch
4:30 AM
Invited Talk
5:00 AM
Invited Talk
7:55 AM
Closing Remarks
Temporal Cross-Attention for Dynamic Embedding and Tokenization of Multimodal Electronic Health Records
Yingbo Ma ⋅ Suraj Kolla ⋅ Dhruv Kaliraman ⋅ Victoria Nolan ⋅ Zhenhong Hu ⋅ Ziyuan Guan ⋅ Yuanfang Ren ⋅ Brooke Armfield ⋅ Tezcan Ozrazgat-Baslanti ⋅ Tyler Loftus ⋅ Parisa Rashidi ⋅ Azra Bihorac ⋅ Benjamin Shickel
Explainable Anomaly Detection in Sensor-based Remote Healthcare Monitoring with Adaptive Temporal Contrast
Nivedita Bijlani ⋅ Gustavo Carneiro ⋅ Payam Barnaghi ⋅ Samaneh Kouchaki
Frequency-Aware Masked Autoencoders for Multimodal Pretraining on Biosignals
Ran Liu ⋅ Ellen Zippi ⋅ Hadi Pouransari ⋅ Christopher Sandino ⋅ Jingping Nie ⋅ Hanlin Goh ⋅ Erdrin Azemi ⋅ Ali Moin
Pretraining Sleep Staging Models without Patient Data
Niklas Grieger ⋅ Siamak Mehrkanoon ⋅ Stephan Bialonski
Pretraining Sleep Staging Models without Patient Data
Niklas Grieger ⋅ Siamak Mehrkanoon ⋅ Stephan Bialonski
A Denoising VAE for Intracardiac Time Series in Ischemic Cardiomyopathy
Samuel Campillo ⋅ Alain Ryser ⋅ Thomas Sutter ⋅ Ruibin Feng ⋅ Prasanth Ganesan ⋅ Brototo Deb ⋅ Kelly Brennan ⋅ Maxime Pedron ⋅ Albert Rogers ⋅ Maarten Kolk ⋅ Fleur Tjong ⋅ Sanjiv Narayan ⋅ Julia E Vogt
Forecasting Exercise Lapses in Individuals with Type 1 Diabetes Using State Space Models
Rajat Doshi ⋅ Yunyang Li ⋅ Garrett Ash ⋅ Jason Liu ⋅ Laura Nally ⋅ Matthew Stults-Kolehmainen ⋅ Stuart Weinzimer ⋅ Lisa Fucito ⋅ Mark Gerstein
Forecasting Exercise Lapses in Individuals with Type 1 Diabetes Using State Space Models
Rajat Doshi ⋅ Yunyang Li ⋅ Garrett Ash ⋅ Jason Liu ⋅ Laura Nally ⋅ Matthew Stults-Kolehmainen ⋅ Stuart Weinzimer ⋅ Lisa Fucito ⋅ Mark Gerstein
Multi-Modal Contrastive Learning for Online Clinical Time-Series Applications
Fabian Baldenweg ⋅ Manuel Burger ⋅ Gunnar Ratsch ⋅ Rita Kuznetsova
Representation Learning of Daily Movement Data Using Text Encoders
Alexander Capstick ⋅ Tianyu Cui ⋅ Yu Chen ⋅ Payam Barnaghi
Rough Transformers for Continuous and Efficient Time-Series Modelling
Fernando Moreno-Pino ⋅ Alvaro Arroyo ⋅ Harrison Waldon ⋅ Xiaowen Dong ⋅ Alvaro Cartea
TOTEM: Tokenized Time Series Embeddings For General Time Series Analysis
Sabera Talukder ⋅ Yisong Yue ⋅ Georgia Gkioxari
Decoding EEG signals of visual brain representations with a CLIP based knowledge distillation
Matteo Ferrante ⋅ Tommaso Boccato ⋅ Stefano Bargione ⋅ Nicola Toschi
TimeFlow: An Implicit Neural Representation Approach for Continuous Time Series Modeling
Etienne Le Naour ⋅ Louis Serrano ⋅ Léon Migus ⋅ Yuan Yin ⋅ Ghislain Agoua ⋅ Nicolas Baskiotis ⋅ patrick Gallinari ⋅ Vincent Guigue
Data augmentations and transfer learning for physiological time series
Harald Skat-Rørdam ⋅ Mia Knudsen ⋅ Simon Knudsen ⋅ Sneha Das ⋅ Line Clemmensen
Time Series for Patient Adherence
Yin Li ⋅ Yu Xiong ⋅ Wenxin Fan ⋅ Kai Wang ⋅ Qingqing Yu ⋅ Si Liping ⋅ Patrick van der Smagt ⋅ Jun Tang ⋅ Nutan Chen
Parallel Time-Sensor Attention for Electronic Health Record Classification
Rachael DeVries ⋅ Marie Lisandra Zepeda Mendoza ⋅ Ole Winther
Learning the Sensing Delay for Personalized Continuous Diabetes Monitoring
Subhamoy Biswas ⋅ Pouyan Motamed ⋅ Peyman GhavamiNejad ⋅ Irfani Ausri ⋅ Ali Etemad ⋅ Mahla Poudineh
Dynamic Survival Analysis for Early Event Prediction
Hugo Yèche ⋅ Manuel Burger ⋅ Dinara Veshchezerova ⋅ Gunnar Ratsch
Dynamic Survival Analysis for Early Event Prediction
Hugo Yèche ⋅ Manuel Burger ⋅ Dinara Veshchezerova ⋅ Gunnar Ratsch
Spectral Convolutional Conditional Neural Processes
Peiman Mohseni ⋅ Nick Duffield
Learning Self-Supervised Dynamic Networks for Seizure Analysis
William Cappelletti ⋅ Yuhan Xie ⋅ Pascal Frossard
From Noise to Signal: Unveiling Treatment Effects from Digital Health Data through Pharmacology-Informed Neural-SDE
Samira Pakravan ⋅ Nikolaos Evangelou ⋅ Maxime Usdin ⋅ Logan Brooks ⋅ James Lu
Mentality: A Mamba-based Approach towards Foundation Models for EEG
Saarang Panchavati ⋅ Corey Arnold ⋅ William Speier
Nocturnal Hypoglycemia Prediction in Diabetic Children Participating in a Sports Day Camp - First Results
Heike Leutheuser ⋅ Marc Bartholet ⋅ Alexander Marx ⋅ Marc Pfister ⋅ Marie-Anne Burckhardt ⋅ Sara Bachmann ⋅ Julia E Vogt
Hybrid Transformer and Holt-Winter's Method for Time Series Forecasting
Nhi Truong ⋅ Duc Nguyen ⋅ Jeffrey Gropp ⋅ Sang Truong
Neural ODE-based disease forecasting from retinal imaging with temporal consistency
Arunava Chakravarty ⋅ Taha Emre ⋅ Dmitrii Lachinov ⋅ Antoine Rivail ⋅ Ursula Schmidt-Erfurth ⋅ Hrvoje Bogunović
Predicting the surge: Forecasting Ontario's changing mental health needs
Kristina L. Kupferschmidt ⋅ Cody Kupferschmidt ⋅ Gus Skorburg ⋅ Branka Agic ⋅ Tara Elton-Marshall ⋅ Hayley Hamilton ⋅ Gina Stoduto ⋅ Katherine Vink ⋅ Samantha Wells ⋅ Christine Wickens ⋅ Graham W Taylor
Medical Event Data Standard (MEDS): Facilitating Machine Learning for Health
Bert Arnrich ⋅ Edward Choi ⋅ Jason Fries ⋅ Matthew McDermott ⋅ Jungwoo Oh ⋅ Tom Pollard ⋅ Nigam Shah ⋅ Ethan Steinberg ⋅ Michael Wornow ⋅ Robin van de Water
Conditional Diffusion Models as Self-supervised Learning Backbone for Irregular Time Series
Hamed Shirzad ⋅ Ruizhi Deng ⋅ He Zhao ⋅ Frederick Tung
Combining Hospital-grade Clinical Data and Wearable Vital Sign Monitoring to Predict Surgical Complications
Robin van de Water ⋅ Axel Winter ⋅ Max Maurer ⋅ Felix Treykorn ⋅ Daniela Zuluaga ⋅ Bjarne Pfitzner ⋅ Igor Sauer ⋅ Bert Arnrich
SleepFM: Foundation Model for Sleep Analysis
Rahul Thapa ⋅ Bryan He ⋅ Magnus Kjaer ⋅ Hyatt Moore ⋅ Gauri Ganjoo ⋅ Emmanuel Mignot ⋅ James Y Zou
EmoPairCompete - Physiological Signals Dataset for Emotion and Frustration Assessment under Team and Competitive Behaviors
Sneha Das ⋅ Nicklas Lund ⋅ Carlos González ⋅ Nicole Lønfeldt ⋅ Line Clemmensen
EmoPairCompete - Physiological Signals Dataset for Emotion and Frustration Assessment under Team and Competitive Behaviors
Sneha Das ⋅ Nicklas Lund ⋅ Carlos González ⋅ Nicole Lønfeldt ⋅ Line Clemmensen
Subject Selection Framework to Improve Personalised Models for Motor-Imagery BCIs via Wavelets and Graph Diffusion
Konstantinos Barmpas ⋅ Yannis Panagakis ⋅ Dimitrios Adamos ⋅ Nikolaos Laskaris ⋅ Stefanos Zafeiriou
Development and Evaluation of Deep Learning Models for Cardiotocography Interpretation
Nicole Chiou ⋅ Nichole Young-Lin ⋅ Christopher Kelly ⋅ Julie Cattiau ⋅ Tiya Tiyasirichokchai ⋅ Abdoulaye Diack ⋅ Sanmi Koyejo ⋅ Katherine Heller ⋅ Mercy Asiedu
Combating Missing Values in Multivariate Time Series by Learning to Embed Each Value as a Token
Chun-Kai Huang ⋅ Yi-Hsien Hsieh ⋅ Shao-Hua Sun ⋅ Tung-Hung Su ⋅ JH Kao ⋅ Che Lin
A novel methodological framework for the analysis of health trajectories and survival outcomes in heart failure patients
Juliette Murris ⋅ Tristan Amadei ⋅ Tristan Kirscher ⋅ Antoine Klein ⋅ Anne-Isabelle Tropeano ⋅ Sandrine Katsahian
Temporally Multi-Scale Sparse Self-Attention for Physical Activity Data Imputation
Hui Wei ⋅ Maxwell Xu ⋅ Colin Samplawski ⋅ James Rehg ⋅ Santosh Kumar ⋅ Benjamin M Marlin