collaborators

6 papers

cs.LG2026

Signed Dual Attention: Capturing Signed Dependencies in Time Series Forecasting

Balthazar Courvoisier, Tristan Cazenave

Initially developed for natural language processing, Transformer architectures and attention mechanisms are now central to a wide range of deep learning models, including applicati…

q-bio.BM2026

The Montparnasse Algorithm for RNA Design

Tristan Cazenave

RNA design consists of discovering a nucleotide sequence that optimizes predefined criteria, such as secondary structure. It is useful for synthetic biology, medicine, and nanotech…

cs.LG2026

SpinGPT: A Large-Language-Model Approach to Playing Poker Correctly

Narada Maugin, Tristan Cazenave

The Counterfactual Regret Minimization (CFR) algorithm and its variants have enabled the development of pokerbots capable of beating the best human players in heads-up (1v1) cash g…

q-bio.BM2025

BeeRNA: tertiary structure-based RNA inverse folding using Artificial Bee Colony

Mehyar Mlaweh, Tristan Cazenave, Ines Alaya

The Ribonucleic Acid (RNA) inverse folding problem, designing nucleotide sequences that fold into specific tertiary structures, is a fundamental computational biology problem with…

cs.AI2025

Eterna is Solved

Tristan Cazenave

RNA design consists of discovering a nucleotide sequence that folds into a target secondary structure. It is useful for synthetic biology, medicine, and nanotechnology. We propose…

cs.CL2025

BrAIcht, a theatrical agent that speaks like Bertolt Brecht's characters

Baz Roland, Kristina Malyseva, Anna Pappa +1

This project introduces BrAIcht, an AI conversational agent that creates dialogues in the distinctive style of the famous German playwright Bertolt Brecht. BrAIcht is fine-tuned us…