1.6k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Centre National de la Recherche ScientifiqueFR66 papers
- Sorbonne UniversitéFR61 papers
- Institut de Biologie Paris-SeineFR32 papers
- Université Pierre-et-Marie-CurieFR23 papers
- École Normale Supérieure - PSLFR17 papers
- Laboratoire de Physique de l'Ecole Normale SupérieureFR16 papers
- Politecnico di TorinoIT16 papers
- Université Paris Sciences et LettresFR13 papers
- Italian institute for Genomic MedicineIT12 papers
- Laboratoire Jacques-Louis LionsFR11 papers
- University of MilanIT11 papers
- Sapienza University of RomeIT9 papers
5 papers · 1 filter
Fluctuations and the limit of predictability in protein evolution
Saverio Rossi, Leonardo Di Bari, Martin Weigt +1
Protein evolution involves mutations occurring across a wide range of time scales. In analogy with disordered systems in statistical physics, this dynamical heterogeneity suggests…
Noisy integrate-and-fire equation: continuation after blow-up
Xu'An Dou, Benoît Perthame, Delphine Salort +1
The integrate and fire equation is a classical model for neural assemblies which can exhibit finite time blow-up. A major open problem is to understand how to continue solutions af…
Improving the Capabilities of Large Language Model Based Marketing Analytics Copilots With Semantic Search And Fine-Tuning
Yilin Gao, Sai Kumar Arava, Yancheng Li +1
Artificial intelligence (AI) is widely deployed to solve problems related to marketing attribution and budget optimization. However, AI models can be quite complex, and it can be d…
Compositional statistical mechanics, entropy and variational inference
Grégoire Sergeant-Perthuis
In this document, we aim to gather various results related to a compositional/categorical approach to rigorous Statistical Mechanics. Rigorous Statistical Mechanics is centered on…
Emergent time scales of epistasis in protein evolution
Leonardo Di Bari, Matteo Bisardi, Sabrina Cotogno +2
We introduce a data-driven epistatic model of protein evolution, capable of generating evolutionary trajectories spanning very different time scales reaching from individual mutati…