activity
20182026
most citedScaffold-constrained molecular generation

71 citations · 131 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2026

DragOn: A Benchmark and Dataset for Drag-Based GUI Interactions

Nathan Bout, Maxime Langevin, Ronan Riochet

GUI agents - vision-based models that control desktops, web browsers, and mobile devices through graphical user interfaces - promise to automate a wide range of digital tasks. Whil…

cs.AI2025

Surfer 2: The Next Generation of Cross-Platform Computer Use Agents

Mathieu Andreux, Märt Bakler, Yanael Barbier +50

Building agents that generalize across web, desktop, and mobile environments remains an open challenge, as prior systems rely on environment-specific interfaces that limit cross-pl…

q-bio.QM2020★ 71 cited

Scaffold-constrained molecular generation

Maxime Langevin, Herve Minoux, Maximilien Levesque +1

One of the major applications of generative models for drug Discovery targets the lead-optimization phase. During the optimization of a lead series, it is common to have scaffold c…

cs.LG2019★ 59 cited

A joint model of unpaired data from scRNA-seq and spatial transcriptomics for imputing missing gene expression measurements

Romain Lopez, Achille Nazaret, Maxime Langevin +4

Spatial studies of transcriptome provide biologists with gene expression maps of heterogeneous and complex tissues. However, most experimental protocols for spatial transcriptomics…

cs.LG2018★ 1 cited

A Deep Generative Model for Semi-Supervised Classification with Noisy Labels

Maxime Langevin, Edouard Mehlman, Jeffrey Regier +3

Class labels are often imperfectly observed, due to mistakes and to genuine ambiguity among classes. We propose a new semi-supervised deep generative model that explicitly models n…