Anirudh Goyal
Anirudh Goyal
Other namesAnirudh Goyal Alias Parth Goyal
DeepMind, Mila, Université de Montréal
Verified email at - Homepage
Cited by
Cited by
Toward causal representation learning
B Schölkopf, F Locatello, S Bauer, NR Ke, N Kalchbrenner, A Goyal, ...
Proceedings of the IEEE 109 (5), 612-634, 2021
An actor-critic algorithm for sequence prediction
D Bahdanau, P Brakel, K Xu, A Goyal, R Lowe, J Pineau, A Courville, ...
ICLR'17, 2016
Professor forcing: A new algorithm for training recurrent networks
A Goyal, A Lamb, Y Zhang, S Zhang, AC Courville, Y Bengio
Advances In Neural Information Processing Systems, 4601-4609, 2016
Zoneout: Regularizing rnns by randomly preserving hidden activations
D Krueger, T Maharaj, J Kramár, M Pezeshki, N Ballas, NR Ke, A Goyal, ...
ICLR'17, 2016
A meta-transfer objective for learning to disentangle causal mechanisms
Y Bengio, T Deleu, N Rahaman, R Ke, S Lachapelle, O Bilaniuk, A Goyal, ...
ICLR'20, 2019
Recurrent independent mechanisms
A Goyal, A Lamb, J Hoffmann, S Sodhani, S Levine, Y Bengio, ...
arXiv preprint arXiv:1909.10893, 2019
Z-forcing: Training stochastic recurrent networks
A Goyal, A Sordoni, MA Côté, NR Ke, Y Bengio
Advances in neural information processing systems, 6713-6723, 2017
Inductive biases for deep learning of higher-level cognition
A Goyal, Y Bengio
Proceedings of the Royal Society A 478 (2266), 20210068, 2022
InfoBot: Transfer and Exploration via the Information Bottleneck
A Goyal, R Islam, D Strouse, Z Ahmed, M Botvinick, H Larochelle, ...
ICLR'19, 2019
Learning neural causal models from unknown interventions
NR Ke, O Bilaniuk, A Goyal, S Bauer, H Larochelle, B Schölkopf, ...
arXiv preprint arXiv:1910.01075, 2019
Maximum Entropy Generators for Energy-Based Models
R Kumar, A Goyal, A Courville, Y Bengio
arXiv preprint arXiv:1901.08508, 2019
Sparse Attentive Backtracking: Temporal credit assignment through reminding
NR Ke, A Goyal, O Bilaniuk, J Binas, MC Mozer, C Pal, Y Bengio
Advances in Neural Information Processing Systems, 7651-7662, 2018
Causalworld: A robotic manipulation benchmark for causal structure and transfer learning
O Ahmed, F Träuble, A Goyal, A Neitz, Y Bengio, B Schölkopf, M Wüthrich, ...
arXiv preprint arXiv:2010.04296, 2020
On disentangled representations learned from correlated data
F Träuble, E Creager, N Kilbertus, F Locatello, A Dittadi, A Goyal, ...
International Conference on Machine Learning, 10401-10412, 2021
Learning dynamics model in reinforcement learning by incorporating the long term future
NR Ke, A Singh, A Touati, A Goyal, Y Bengio, D Parikh, D Batra
ICLR'19, 2019
Recall traces: Backtracking models for efficient reinforcement learning
A Goyal, P Brakel, W Fedus, T Lillicrap, S Levine, H Larochelle, Y Bengio
ICLR'19, 2018
Neural production systems
AG ALIAS PARTH GOYAL, A Didolkar, NR Ke, C Blundell, P Beaudoin, ...
Advances in Neural Information Processing Systems 34, 25673-25687, 2021
Coordination among neural modules through a shared global workspace
A Goyal, A Didolkar, A Lamb, K Badola, NR Ke, N Rahaman, J Binas, ...
arXiv preprint arXiv:2103.01197, 2021
State-reification networks: Improving generalization by modeling the distribution of hidden representations
A Lamb, J Binas, A Goyal, S Subramanian, I Mitliagkas, D Kazakov, ...
ICML'19, arXiv preprint arXiv:1804.02485, 2019
Learning to combine top-down and bottom-up signals in recurrent neural networks with attention over modules
S Mittal, A Lamb, A Goyal, V Voleti, M Shanahan, G Lajoie, M Mozer, ...
International Conference on Machine Learning, 6972-6986, 2020
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