Event Stream GPT: A Data Pre-processing and Modeling Library for
Generative, Pre-trained Transformers over Continuous-time Sequences of
Complex Events

Event Stream GPT: A Data Pre-processing and Modeling Library for Generative, Pre-trained Transformers over Continuous-time Sequences of Complex Events

20 June 2023

Matthew B. A. McDermott

Papers citing "Event Stream GPT: A Data Pre-processing and Modeling Library for Generative, Pre-trained Transformers over Continuous-time Sequences of Complex Events"

17 / 17 papers shown

Title
Temporal Entailment Pretraining for Clinical Language Models over EHR Data Tatsunori Tanaka Fi Zheng Kai Sato Zhifeng Li Yuanyun Zhang Shi Li 22 0 0 25 Apr 2025
A Case Study Exploring the Current Landscape of Synthetic Medical Record Generation with Commercial LLMs Yihan Lin Zhirong Bella Yu Simon Lee SyDa 46 0 0 20 Apr 2025
Foundation models for electronic health records: representation dynamics and transferability Michael C. Burkhart Bashar Ramadan Zewei Liao Kaveri Chhikara Juan C. Rojas William F. Parker Brett Beaulieu-Jones 27 0 0 14 Apr 2025
Time After Time: Deep-Q Effect Estimation for Interventions on When and What to do Yoav Wald M. Goldstein Yonathan Efroni Wouter A. C. van Amsterdam Rajesh Ranganath CML 74 0 0 20 Mar 2025
A Collection of Innovations in Medical AI for patient records in 2024 Yuanyun Zhang Shi Li OOD 42 0 0 25 Feb 2025
Foundation Model of Electronic Medical Records for Adaptive Risk Estimation P. Renc Michal K. Grzeszczyk Nassim Oufattole Deirdre Goode Y. Jia ... J. Was A. E. Samir Jonathan W. Cunningham D. W. Bates Arkadiusz Sitek 44 1 0 10 Feb 2025
Context Clues: Evaluating Long Context Models for Clinical Prediction Tasks on EHRs Michael Wornow Suhana Bedi Miguel Angel Fuentes Hernandez E. Steinberg Jason Alan Fries Christopher Ré Sanmi Koyejo N. Shah 95 4 0 09 Dec 2024
Generalized Prompt Tuning: Adapting Frozen Univariate Time Series Foundation Models for Multivariate Healthcare Time Series Mingzhu Liu Angela H. Chen George H. Chen AI4TS 72 0 0 19 Nov 2024
A Simple Baseline for Predicting Events with Auto-Regressive Tabular Transformers Alex Stein Samuel Sharpe Doron Bergman Senthil Kumar C. Bayan Bruss John P. Dickerson Tom Goldstein Micah Goldblum LMTD AI4TS 55 1 0 14 Oct 2024
Multimodal Banking Dataset: Understanding Client Needs through Event Sequences Mollaev Dzhambulat Alexander Kostin Postnova Maria Ivan Karpukhin Ivan A Kireev Gleb Gusev Andrey Savchenko AI4TS 26 1 0 26 Sep 2024
meds_reader: A fast and efficient EHR processing library E. Steinberg Michael Wornow Suhana Bedi Jason Alan Fries Matthew B. A. McDermott N. Shah LM&MA 25 0 0 12 Sep 2024
DeTPP: Leveraging Object Detection for Robust Long-Horizon Event Prediction Ivan Karpukhin Andrey Savchenko 18 1 0 23 Aug 2024
ESQA: Event Sequences Question Answering Irina Abdullaeva Andrei Filatov Mikhail Orlov Ivan Karpukhin Viacheslav Vasilev Denis Dimitrov Andrey Kuznetsov Ivan A Kireev Andrey Savchenko 44 0 0 03 Jul 2024
ACES: Automatic Cohort Extraction System for Event-Stream Datasets Justin Xu Jack Gallifant Alistair E. W. Johnson Matthew B. A. McDermott AI4TS 32 1 0 28 Jun 2024
HoTPP Benchmark: Are We Good at the Long Horizon Events Forecasting? Ivan Karpukhin F. Shipilov Andrey Savchenko AI4TS 54 4 0 20 Jun 2024
Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium Hyewon Jeong Sarah Jabbour Yuzhe Yang Rahul Thapta Hussein Mozannar ... Linying Zhang Harvineet Singh Tom Hartvigsen Helen Zhou Chinasa T. Okolo VLM AI4TS OOD 43 2 0 03 Mar 2024
Event-Based Contrastive Learning for Medical Time Series Hyewon Jeong Nassim Oufattole Matthew B. A. McDermott Aparna Balagopalan P. Chandak Marzyeh Ghassemi Collin M. Stultz 15 4 0 16 Dec 2023