| Towards biologically plausible deep learning Y Bengio, DH Lee, J Bornschein, T Mesnard, Z Lin arXiv preprint arXiv:1502.04156, 2015 | 436 | 2015 |
| Gemma: Open models based on gemini research and technology G Team, T Mesnard, C Hardin, R Dadashi, S Bhupatiraju, S Pathak, ... arXiv preprint arXiv:2403.08295, 2024 | 371 | 2024 |
| Rlaif: Scaling reinforcement learning from human feedback with ai feedback H Lee, S Phatale, H Mansoor, T Mesnard, J Ferret, K Lu, C Bishop, E Hall, ... arXiv preprint arXiv:2309.00267, 2023 | 294 | 2023 |
| An objective function for STDP Y Bengio, T Mesnard, A Fischer, S Zhang, Y Wu arXiv preprint arXiv:1509.05936 5 (6.2), 6.3, 2015 | 184* | 2015 |
| Hindsight credit assignment A Harutyunyan, W Dabney, T Mesnard, M Gheshlaghi Azar, B Piot, ... Advances in neural information processing systems 32, 2019 | 97 | 2019 |
| Counterfactual credit assignment in model-free reinforcement learning T Mesnard, T Weber, F Viola, S Thakoor, A Saade, A Harutyunyan, ... arXiv preprint arXiv:2011.09464, 2020 | 69 | 2020 |
| Nash learning from human feedback R Munos, M Valko, D Calandriello, MG Azar, M Rowland, ZD Guo, Y Tang, ... arXiv preprint arXiv:2312.00886, 2023 | 52 | 2023 |
| Generalization of equilibrium propagation to vector field dynamics B Scellier, A Goyal, J Binas, T Mesnard, Y Bengio arXiv preprint arXiv:1808.04873, 2018 | 48* | 2018 |
| Direct language model alignment from online ai feedback S Guo, B Zhang, T Liu, T Liu, M Khalman, F Llinares, A Rame, T Mesnard, ... arXiv preprint arXiv:2402.04792, 2024 | 44 | 2024 |
| Geometric entropic exploration ZD Guo, MG Azar, A Saade, S Thakoor, B Piot, BA Pires, M Valko, ... arXiv preprint arXiv:2101.02055, 2021 | 40 | 2021 |
| Towards deep learning with spiking neurons in energy based models with contrastive hebbian plasticity T Mesnard, W Gerstner, J Brea arXiv preprint arXiv:1612.03214, 2016 | 27 | 2016 |
| Charline Le Lan, Christopher A G Team, T Mesnard, C Hardin, R Dadashi, S Bhupatiraju, S Pathak, ... | 18 | 2024 |
| Gemma 2: Improving open language models at a practical size G Team, M Riviere, S Pathak, PG Sessa, C Hardin, S Bhupatiraju, ... arXiv preprint arXiv:2408.00118, 2024 | 17 | 2024 |
| Curiosity in hindsight: Intrinsic exploration in stochastic environments D Jarrett, C Tallec, F Altché, T Mesnard, R Munos, M Valko | 15 | 2023 |
| Ghost units yield biologically plausible backprop in deep neural networks T Mesnard, G Vignoud, J Sacramento, W Senn, Y Bengio arXiv preprint arXiv:1911.08585, 2019 | 7 | 2019 |
| A survey of temporal credit assignment in deep reinforcement learning E Pignatelli, J Ferret, M Geist, T Mesnard, H van Hasselt, L Toni arXiv preprint arXiv:2312.01072, 2023 | 5 | 2023 |
| RecurrentGemma: Moving Past Transformers for Efficient Open Language Models A Botev, S De, SL Smith, A Fernando, GC Muraru, R Haroun, L Berrada, ... arXiv preprint arXiv:2404.07839, 2024 | 3 | 2024 |
| Quantile credit assignment T Mesnard, W Chen, A Saade, Y Tang, M Rowland, T Weber, C Lyle, ... International Conference on Machine Learning, 24517-24531, 2023 | 3 | 2023 |
| Activation alignment: exploring the use of approximate activity gradients in multilayer networks T Mesnard, B Richards 2018 Conference on Cognitive Computational Neuroscience, Brentwood …, 2018 | 1 | 2018 |
| Connectionist Temporal Classification: Labelling Unsegmented Sequences with Recurrent Neural Networks A AUVOLAT, T MESNARD | 1 | 2006 |
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca