Ultra-Sensitive Capacitive Detection Based on SGMOSFET Compatible With Front-End CMOS Process. - Éric Colinet; Cedric Durand; Laurent Duraffourg; Patrick Audebert; Guillaume Dumas; Fabrice Casset; Eric Ollier; Pascal Ancey; Jean-François Carpentier; Lionel Buchaillot; Adrian M. Ionescu (IEEE J. Solid State Circuits, 2009)

Outline of a general theory of behavior and brain coordination. - J. A. Scott Kelso; Guillaume Dumas; Emmanuelle Tognoli (Neural Networks, 2013)

Coordination dynamics: Bidirectional coupling between humans, machines and brains. - J. A. Scott Kelso; Emmanuelle Tognoli; Guillaume Dumas (SMC, 2014)

Automatic measure of imitation during social interaction: A behavioral and hyperscanning-EEG benchmark. - Emilie Delaherche; Guillaume Dumas; Jacqueline Nadel; Mohamed Chetouani (Pattern Recognit. Lett., 2015)

Interpersonal Synchrony: From Social Perception to Social Interaction. - Mohamed Chetouani; Emilie Delaherche; Guillaume Dumas; David Cohen (Social Signal Processing, 2017)

StratiPy. - Min-Li Yang; Jean-Baptiste Poline; Guillaume Dumas (Zenodo, 2017)

Systems of Global Governance in the Era of Human-Machine Convergence. - Eugenio Maria Battaglia; Jie Mei; Guillaume Dumas (CoRR, 2018)

StratiPy. - Min-Li Yang; Jean-Baptiste Poline; Guillaume Dumas (Zenodo, 2018)

Learning Brain Dynamics With Coupled Low-Dimensional Nonlinear Oscillators and Deep Recurrent Networks. - Germán Abrevaya; Guillaume Dumas; Aleksandr Y. Aravkin; Peng Zheng 002; Jean-Christophe Gagnon-Audet; James R. Kozloski; Pablo Polosecki; Guillaume Lajoie; David D. Cox; Silvina Ponce Dawson; Guillermo A. Cecchi; Irina Rish (Neural Comput., 2021)

Human attachments shape interbrain synchrony toward efficient performance of social goals. - Amir Djalovski; Guillaume Dumas; Sivan Kinreich; Ruth Feldman (NeuroImage, 2021)

The meaning of significant mean group differences for biomarker discovery. - Eva Loth; Jumana Ahmad; Chris Chatham; Beatriz López 002; Ben Carter; Daisy Crawley; Bethany Oakley; Hannah Hayward; Jennifer Cooke; Antonia San José Cáceres; Danilo Bzdok; Emily J. H. Jones; et al. (PLoS Comput. Biol., 2021)

A Novel Model for Novelty: Modeling the Emergence of Innovation from Cumulative Culture. - Natalie Kastel; Guillaume Dumas (IWAI, 2022)

WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series Tasks. - Jean-Christophe Gagnon-Audet; Kartik Ahuja; Mohammad-Javad Darvishi Bayazi; Guillaume Dumas; Irina Rish (CoRR, 2022)

Social Neuro AI: Social Interaction as the "Dark Matter" of AI. - Samuele Bolotta; Guillaume Dumas (Frontiers Comput. Sci., 2022)

Generative Models of Brain Dynamics. - Mahta Ramezanian-Panahi; Germán Abrevaya; Jean-Christophe Gagnon-Audet; Vikram Voleti; Irina Rish; Guillaume Dumas (Frontiers Artif. Intell., 2022)

Technologically-assisted communication attenuates inter-brain synchrony. - Linoy Schwartz; Jonathan Levy; Yaara Endevelt-Shapira; Amir Djalovski; Olga Hayut; Guillaume Dumas; Ruth Feldman (NeuroImage, 2022)

PyNM: a Lightweight Python implementation of Normative Modeling. - Annabelle Harvey; Guillaume Dumas (J. Open Source Softw., 2022)

Sources of Richness and Ineffability for Phenomenally Conscious States. - Xu Ji; Eric Elmoznino; George Deane; Axel Constant; Guillaume Dumas; Guillaume Lajoie; Jonathan Simon; Yoshua Bengio (CoRR, 2023)

Attention Schema in Neural Agents. - Dianbo Liu; Samuele Bolotta; He Zhu; Yoshua Bengio; Guillaume Dumas (CoRR, 2023)

Predicting Grokking Long Before it Happens: A look into the loss landscape of models which grok. - Pascal Tikeng Notsawo Jr.; Hattie Zhou; Mohammad Pezeshki; Irina Rish; Guillaume Dumas (CoRR, 2023)

GOKU-UI: Ubiquitous Inference through Attention and Multiple Shooting for Continuous-time Generative Models. - Germán Abrevaya; Mahta Ramezanian-Panahi; Jean-Christophe Gagnon-Audet; Irina Rish; Pablo Polosecki; Silvina Ponce Dawson; Guillermo A. Cecchi; Guillaume Dumas (CoRR, 2023)

WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series. - Jean-Christophe Gagnon-Audet; Kartik Ahuja; Mohammad-Javad Darvishi Bayazi; Pooneh Mousavi; Guillaume Dumas; Irina Rish (Trans. Mach. Learn. Res., 2023)

Lost in Translation: The Algorithmic Gap Between LMs and the Brain. - Tommaso Tosato; Pascal Tikeng Notsawo Jr.; Saskia Helbling; Irina Rish; Guillaume Dumas (CoRR, 2024)

Collective decision making by embodied neural agents. - Nicolas Coucke; Mary Katherine Heinrich; Axel Cleeremans; Marco Dorigo; Guillaume Dumas (CoRR, 2024)

Effective Latent Differential Equation Models via Attention and Multiple Shooting. - Germán Abrevaya; Mahta Ramezanian-Panahi; Jean-Christophe Gagnon-Audet; Pablo Polosecki; Irina Rish; Silvina Ponce Dawson; Guillermo A. Cecchi; Guillaume Dumas (Trans. Mach. Learn. Res., 2024)

Mapping of Subjective Accounts into Interpreted Clusters (MOSAIC): Topic Modelling and LLM applied to Stroboscopic Phenomenology. - Romy Beauté; David J. Schwartzman; Guillaume Dumas; Jennifer Crook; Fiona Macpherson; Adam B. Barrett; Anil K. Seth (CoRR, 2025)

Proceedings of 1st Workshop on Advancing Artificial Intelligence through Theory of Mind. - Mouad Abrini; Omri Abend; Dina M. Acklin; Henny Admoni; Gregor Aichinger; Nitay Alon; Zahra Ashktorab; Ashish Atreja; Moises Auron; Alexander Aufreiter; Raghav Awasthi; Soumya Banerjee; et al. (CoRR, 2025)

Grokking Beyond the Euclidean Norm of Model Parameters. - Pascal Tikeng Notsawo Jr.; Guillaume Dumas; Guillaume Rabusseau (CoRR, 2025)