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Tim Cooijmans
Tim Cooijmans
Verified email at umontreal.ca
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Cited by
Cited by
Year
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
1165*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
1119*2015
Recurrent Batch Normalization
T Cooijmans, N Ballas, C Laurent, Ç Gülçehre, A Courville
arXiv preprint arXiv:1603.09025, 2016
5192016
Counterpoint by convolution
CZA Huang, T Cooijmans, A Roberts, A Courville, D Eck
arXiv preprint arXiv:1903.07227, 2019
2002019
Dynamic capacity networks
A Almahairi, N Ballas, T Cooijmans, Y Zheng, H Larochelle, A Courville
International conference on machine learning, 2549-2558, 2016
1502016
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
522021
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
512016
On the variance of unbiased online recurrent optimization
T Cooijmans, J Martens
arXiv preprint arXiv:1902.02405, 2019
242019
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
82016
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
32022
Memorization in recurrent neural networks
T Maharaj, D Krueger, T Cooijmans
Workshop on Principled Approaches to Deep Learning, 2017
22017
LOQA: Learning with Opponent Q-Learning Awareness
M Aghajohari, JA Duque, T Cooijmans, A Courville
arXiv preprint arXiv:2405.01035, 2024
12024
Best Response Shaping
M Aghajohari, T Cooijmans, JA Duque, S Akatsuka, A Courville
arXiv preprint arXiv:2404.06519, 2024
12024
Meta-Value Learning: a General Framework for Learning with Learning Awareness
T Cooijmans, M Aghajohari, A Courville
arXiv preprint arXiv:2307.08863, 2023
12023
Harmonic Recomposition using Conditional Autoregressive Modeling
K Kastner, R Kumar, T Cooijmans, A Courville
arXiv preprint arXiv:1811.07426, 2018
12018
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
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K Kastner, T Cooijmans, Y Wu, A Courville¹
Artificial Intelligence in Music, Sound, Art and Design: 12th International …, 2023
2023
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