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2020 – today
- 2024
[c2]Wenhui Cui, Woojae Jeong, Philipp Thölke, Takfarinas Medani, Karim Jerbi, Anand A. Joshi, Richard M. Leahy:
Neuro-GPT: Towards A Foundation Model For EEG. ISBI 2024: 1-5- [i5]Raúl P. Peláez, Guillem Simeon, Raimondas Galvelis, Antonio Mirarchi, Peter K. Eastman, Stefan Doerr, Philipp Thölke, Thomas E. Markland, Gianni De Fabritiis:
TorchMD-Net 2.0: Fast Neural Network Potentials for Molecular Simulations. CoRR abs/2402.17660 (2024) - [i4]Antoine Bellemare Pépin, François Lespinasse, Philipp Thölke, Yann Harel, Kory Mathewson, Jay A. Olson, Yoshua Bengio, Karim Jerbi:
Divergent Creativity in Humans and Large Language Models. CoRR abs/2405.13012 (2024) - 2023
- [j1]Philipp Thölke
, Yorguin-Jose 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, Mathieu Landry, Annalisa Pascarella, Vanessa Hadid, Etienne Combrisson, Jordan O'Byrne, Karim Jerbi:
Class imbalance should not throw you off balance: Choosing the right classifiers and performance metrics for brain decoding with imbalanced data. NeuroImage 277: 120253 (2023) - [i3]Wenhui Cui, Woojae Jeong, Philipp Thölke, Takfarinas Medani, Karim Jerbi, Anand A. Joshi, Richard M. Leahy:
Neuro-GPT: Developing A Foundation Model for EEG. CoRR abs/2311.03764 (2023) - 2022
- [c1]Philipp Thölke, Gianni De Fabritiis:
Equivariant Transformers for Neural Network based Molecular Potentials. ICLR 2022 - [i2]Philipp Thölke, Gianni De Fabritiis:
TorchMD-NET: Equivariant Transformers for Neural Network based Molecular Potentials. CoRR abs/2202.02541 (2022) - [i1]Maciej Majewski, Adrià Pérez, Philipp Thölke, Stefan Doerr, Nicholas E. Charron, Toni Giorgino, Brooke E. Husic, Cecilia Clementi, Frank Noé, Gianni De Fabritiis:
Machine Learning Coarse-Grained Potentials of Protein Thermodynamics. CoRR abs/2212.07492 (2022)
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