Rita Kuznetsova

Postdoc, Swiss Federal Institute of Technology

Joined

October 2018

Names

Rita Kuznetsova (Preferred)

Emails

****@phystech.edu (Confirmed)

****@inf.ethz.ch (Confirmed)

****@grlab.org (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

Postdoc

Swiss Federal Institute of Technology (ethz.ch)

2020 – Present

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

Towards Foundation Models for Critical Care Time Series
Manuel Burger, Fedor Sergeev, Malte Londschien, Daphné Chopard, Hugo Yèche, Eike Christian Gerdes, Polina Leshetkina, Alexander Morgenroth, Zeynep Babür, Jasmina Bogojeska, Martin Faltys, Rita Kuznetsova, Gunnar Ratsch
- AIM-FM Workshop @ NeurIPS'24 Oral
- Readers: Everyone
Towards Large-scale Clinical Multi-variate Time-series Datasets
Manuel Burger, Fedor Sergeev, Malte Londschien, Daphné Chopard, Hugo Yèche, Eike Christian Gerdes, Polina Leshetkina, Alexander Morgenroth, Zeynep Babür, Jasmina Bogojeska, Martin Faltys, Rita Kuznetsova, Gunnar Ratsch
- NeurIPS 2024 TSALM Workshop
- Readers: Everyone
Knowledge Graph Representations to enhance Intensive Care Time-Series Predictions
Samyak Jain, Manuel Burger, Gunnar Ratsch, Rita Kuznetsova
- OpenReview Archive Direct Upload
- Readers: Everyone
Temporal Label Smoothing for Early Event Prediction
Hugo Yèche, Alizée Pace, Gunnar Ratsch, Rita Kuznetsova
- ICML 2023 Poster
- Readers: Everyone
On the Importance of Clinical Notes in Multi-modal Learning for EHR Data
Severin Husmann, Hugo Yèche, Gunnar Ratsch, Rita Kuznetsova
- Published: 02 Dec 2022, Last Modified: 05 May 2023
- TS4H Poster
- Readers: Everyone
Temporal Label Smoothing for Early Prediction of Adverse Events
Hugo Yèche, Alizée Pace, Gunnar Ratsch, Rita Kuznetsova
- Published: 01 Feb 2023, Last Modified: 14 Jan 2026
- Submitted to ICLR 2023
- Readers: Everyone
Variational learning across domains with triplet information
Rita Kuznetsova
- 17 May 2022
- OpenReview Archive Direct Upload
- Readers: Everyone
Temporal Label Smoothing for Early Prediction of Adverse Events
Hugo Yèche, Alizée Pace, Gunnar Rätsch, Rita Kuznetsova
- 2022 (modified: 19 Apr 2023)
- CoRR 2022
- Readers: Everyone
On the Importance of Clinical Notes in Multi-modal Learning for EHR Data
Severin Husmann, Hugo Yèche, Gunnar Rätsch, Rita Kuznetsova
- 2022 (modified: 19 Apr 2023)
- CoRR 2022
- Readers: Everyone
HiRID-ICU-Benchmark --- A Comprehensive Machine Learning Benchmark on High-resolution ICU Data
Hugo Yèche, Rita Kuznetsova, Marc Zimmermann, Matthias Hüser, Xinrui Lyu, Martin Faltys, Gunnar Ratsch
- Published: 29 Jul 2021, Last Modified: 26 May 2025
- NeurIPS 2021 Datasets and Benchmarks Track (Round 1)
- Readers: Everyone

View all 15 publications