4 papers
Challenges in Non-Polymeric Crystal Structure Prediction: Why a Geometric, Permutation-Invariant Loss is Needed
Emmanuel Jehanno, Romain Menegaux, Julien Mairal +1
Crystalline structure prediction is an essential prerequisite for designing materials with targeted properties. Yet, it is still an open challenge in materials design and drug disc…
CoSupFormer : A Contrastive Supervised learning approach for EEG signal Classification
D. Darankoum, C. Habermacher, J. Volle +1
Electroencephalography signals (EEGs) contain rich multi-scale information crucial for understanding brain states, with potential applications in diagnosing and advancing the drug…
BAnG: Bidirectional Anchored Generation for Conditional RNA Design
Roman Klypa, Alberto Bietti, Sergei Grudinin
Designing RNA molecules that interact with specific proteins is a critical challenge in experimental and computational biology. Existing computational approaches require a substant…
From Epilepsy Seizures Classification to Detection: A Deep Learning-based Approach for Raw EEG Signals
Davy Darankoum, Manon Villalba, Clelia Allioux +8
Epilepsy represents the most prevalent neurological disease in the world. One-third of people suffering from mesial temporal lobe epilepsy (MTLE) exhibit drug resistance, urging th…