Equivariant Transformers for Neural Network based Molecular Potentials. - Philipp Thölke; Gianni De Fabritiis (ICLR, 2022)

TorchMD-NET: Equivariant Transformers for Neural Network based Molecular Potentials. - Philipp Thölke; Gianni De Fabritiis (CoRR, 2022)

Machine Learning Coarse-Grained Potentials of Protein Thermodynamics. - Maciej Majewski; Adrià Pérez; Philipp Thölke; Stefan Doerr; Nicholas E. Charron; Toni Giorgino; Brooke E. Husic; Cecilia Clementi; Frank Noé; Gianni De Fabritiis (CoRR, 2022)

Neuro-GPT: Developing A Foundation Model for EEG. - Wenhui Cui; Woojae Jeong; Philipp Thölke; Takfarinas Medani; Karim Jerbi; Anand A. Joshi; Richard M. Leahy (CoRR, 2023)

Class imbalance should not throw you off balance: Choosing the right classifiers and performance metrics for brain decoding with imbalanced data. - Philipp Thölke; Yorguin José Mantilla Ramos; Hamza Abdelhedi; Charlotte Maschke; Arthur Dehgan; Yann Harel; Anirudha Kemtur; Loubna Mekki Berrada; Myriam Sahraoui; Tammy Young; Antoine Bellemare-Pépin; Clara El Khantour; et al. (NeuroImage, 2023)

Bio-Mechanical Poet: An Immersive Audiovisual Playground for Brain Signals and Generative AI. - Philipp Thölke; Antoine Bellemare-Pépin; Yann Harel; François Lespinasse; Karim Jerbi (ICCC, 2024)

Neuro-GPT: Towards A Foundation Model For EEG. - Wenhui Cui; Woojae Jeong; Philipp Thölke; Takfarinas Medani; Karim Jerbi; Anand A. Joshi; Richard M. Leahy (ISBI, 2024)

TorchMD-Net 2.0: Fast Neural Network Potentials for Molecular Simulations. - Raúl P. Peláez; Guillem Simeon; Raimondas Galvelis; Antonio Mirarchi; Peter K. Eastman; Stefan Doerr; Philipp Thölke; Thomas E. Markland; Gianni De Fabritiis (CoRR, 2024)

Divergent Creativity in Humans and Large Language Models. - Antoine Bellemare-Pépin; François Lespinasse; Philipp Thölke; Yann Harel; Kory W. Mathewson; Jay A. Olson; Yoshua Bengio; Karim Jerbi (CoRR, 2024)