Lucas Maystre

Researcher, UiPath

Joined

July 2019

Names

Lucas Maystre

Emails

****@maystre.ch (Confirmed)

Personal Links

Career & Education History

Researcher

UiPath (uipath.com)

2024 – Present

Research Scientist

Spotify (spotify.com)

2019 – 2024

PhD student

Swiss Federal Institute of Technology Lausanne (epfl.ch)

2012 – 2018

Research Intern

Microsoft (microsoft.com)

2016 – 2016

Advisors, Relations & Conflicts

PhD Advisor

Matthias Grossglauser

2012 – 2018

Expertise

No areas of expertise listed

Publications

When Embeddings Models Meet: Procrustes Bounds and Applications
Lucas Maystre, Alvaro Ortega Gonzalez, Charles Park, Rares Dolga, Tudor Berariu, Yu Zhao, Kamil Ciosek
- Submitted to ICLR 2026
- Readers: Everyone
Unifying Linear-Time Attention via Latent Probabilistic Modelling
Rares Dolga, Lucas Maystre, Marius Cobzarenco, David Barber
- Accepted by TMLR
- Readers: Everyone
Toward Autonomous UI Exploration: The UIExplorer Benchmark
Andrei Cristian Nica, Akshaya Vishnu Kudlu Shanbhogue, Harshil Shah, Aleix Cambray, Tudor Berariu, Lucas Maystre, David Barber
- WCUA 2025 Poster
- Readers: Everyone
Incremental Sequence Classification with Temporal Consistency
Lucas Maystre, Gabriel Barello, Tudor Berariu, Aleix Cambray, Rares Dolga, Alvaro Ortega Gonzalez, Andrei Cristian Nica, David Barber
- NeurIPS 2025 spotlight
- Readers: Everyone
Latte: Latent Attention for Linear Time Transformers
Rares Dolga, Lucas Maystre, Marius Cobzarenco, David Barber
- Submitted to ICLR 2025
- Readers: Everyone
On the Importance of Uncertainty in Decision-Making with Large Language Models
Nicolò Felicioni, Lucas Maystre, Sina Ghiassian, Kamil Ciosek
- Accepted by TMLR
- Readers: Everyone
Fast Interactive Search under a Scale-Free Comparison Oracle
Lars Henning Klein, Daniyar Chumbalov, Lucas Maystre, Matthias Grossglauser
- UAI 2024 poster
- Readers: Everyone
Scalable and Efficient Comparison-based Search without Features
Daniyar Chumbalov, Lucas Maystre, Matthias Grossglauser
- 12 May 2023
- OpenReview Archive Direct Upload
- Readers: Everyone
A Strong Baseline for Batch Imitation Learning
Matthew J. A. Smith, Lucas Maystre, Zhenwen Dai, Kamil Ciosek
- 09 Mar 2023
- OpenReview Archive Direct Upload
- Readers: Everyone
Estimating long-term causal effects from short-term experiments and long-term observational data with unobserved confounding
Graham Van Goffrier, Lucas Maystre, Ciarán Mark Gilligan-Lee
- Published: 17 Mar 2023, Last Modified: 15 Jan 2026
- CLeaR 2023 Poster
- Readers: Everyone

View all 18 publications

Co-Authors

View all 28 co-authors