| Theano: A Python framework for fast computation of mathematical expressions TTD Team, R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, ... arXiv preprint arXiv:1605.02688, 2016 | 1160* | 2016 |
| Technical proposal for the phase-II upgrade of the CMS detector D Contardo, M Klute, J Mans, L Silvestris, J Butler CERN-LHCC-2015-010, 2015 | 1100* | 2015 |
| Recurrent Batch Normalization T Cooijmans, N Ballas, C Laurent, Ç Gülçehre, A Courville arXiv preprint arXiv:1603.09025, 2016 | 516 | 2016 |
| Counterpoint by convolution CZA Huang, T Cooijmans, A Roberts, A Courville, D Eck arXiv preprint arXiv:1903.07227, 2019 | 199 | 2019 |
| Dynamic capacity networks A Almahairi, N Ballas, T Cooijmans, Y Zheng, H Larochelle, A Courville International conference on machine learning, 2549-2558, 2016 | 150 | 2016 |
| Theano: A Python framework for fast computation of mathematical expressions. arXiv R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ... arXiv preprint arXiv:1605.02688 10, 2016 | 51 | 2016 |
| MIDI-DDSP: Detailed control of musical performance via hierarchical modeling Y Wu, E Manilow, Y Deng, R Swavely, K Kastner, T Cooijmans, ... arXiv preprint arXiv:2112.09312, 2021 | 50 | 2021 |
| On the variance of unbiased online recurrent optimization T Cooijmans, J Martens arXiv preprint arXiv:1902.02405, 2019 | 24 | 2019 |
| Monte Carlo simulations of the radiation environment for the CMS experiment S Mallows, I Azhgirey, I Bayshev, I Bergstrom, T Cooijmans, A Dabrowski, ... Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2016 | 8 | 2016 |
| MIDI-DDSP: Hierarchical modeling of music for detailed control Y Wu, E Manilow, Y Deng, RJ Swavely, K Kastner, T Cooijmans, ... Proceedings of the Tenth International Conference on Learning …, 2022 | 3 | 2022 |
| Memorization in recurrent neural networks T Maharaj, D Krueger, T Cooijmans Workshop on Principled Approaches to Deep Learning, 2017 | 2 | 2017 |
| LOQA: Learning with Opponent Q-Learning Awareness M Aghajohari, JA Duque, T Cooijmans, A Courville arXiv preprint arXiv:2405.01035, 2024 | 1 | 2024 |
| Best Response Shaping M Aghajohari, T Cooijmans, JA Duque, S Akatsuka, A Courville arXiv preprint arXiv:2404.06519, 2024 | 1 | 2024 |
| Meta-Value Learning: a General Framework for Learning with Learning Awareness T Cooijmans, M Aghajohari, A Courville arXiv preprint arXiv:2307.08863, 2023 | 1 | 2023 |
| Harmonic Recomposition using Conditional Autoregressive Modeling K Kastner, R Kumar, T Cooijmans, A Courville arXiv preprint arXiv:1811.07426, 2018 | 1 | 2018 |
| Coordination in generative modeling, automatic differentiation and multi-agent learning TME Cooijmans | | 2024 |
| Advantage Alignment Algorithms JA Duque, M Aghajohari, T Cooijmans, R Ciuca, T Zhang, G Gidel, ... arXiv preprint arXiv:2406.14662, 2024 | | 2024 |
| Advantage Alignment Algorithms J Agustin Duque, M Aghajohari, T Cooijmans, T Zhang, A Courville arXiv e-prints, arXiv: 2406.14662, 2024 | | 2024 |
| SUNMASK: Mask Enhanced Control in Step Unrolled Denoising Autoencoders K Kastner, T Cooijmans, Y Wu, A Courville International Conference on Computational Intelligence in Music, Sound, Art …, 2023 | | 2023 |
| Check for updates K Kastner, T Cooijmans, Y Wu, A Courville¹ Artificial Intelligence in Music, Sound, Art and Design: 12th International …, 2023 | | 2023 |