Yoshua Bengio - researchr alias

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Viewing Publication 1 - 100 from 543

2024

Regeneration Learning: A Learning Paradigm for Data GenerationXu Tan 0003, Tao Qin 0001, Jiang Bian 0002, Tie-Yan Liu, Yoshua Bengio. AAAI 2024: 22614-22622 [doi]

2023

Contrastive Retrospection: honing in on critical steps for rapid learning and generalization in RLChen Sun 0007, Wannan Yang, Thomas Jiralerspong, Dane Malenfant, Benjamin Alsbury-Nealy, Yoshua Bengio, Blake A. Richards. nips 2023: [doi]

Interventional Causal Representation LearningKartik Ahuja, Divyat Mahajan, Yixin Wang, Yoshua Bengio. icml 2023: 372-407 [doi]

DynGFN: Towards Bayesian Inference of Gene Regulatory Networks with GFlowNetsLazar Atanackovic, Alexander Tong 0001, Bo Wang, Leo J. Lee, Yoshua Bengio, Jason S. Hartford. nips 2023: [doi]

GFlowNet FoundationsYoshua Bengio, Salem Lahlou, Tristan Deleu, Edward J. Hu, Mo Tiwari, Emmanuel Bengio. jmlr, 24, 2023. [doi]

Improving *day-ahead* Solar Irradiance Time Series Forecasting by Leveraging Spatio-Temporal ContextOussama Boussif, Ghait Boukachab, Dan Assouline, Stefano Massaroli, Tianle Yuan, Loubna Benabbou, Yoshua Bengio. nips 2023: [doi]

Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow NetworkTristan Deleu, Mizu Nishikawa-Toomey, Jithendaraa Subramanian, Nikolay Malkin, Laurent Charlin, Yoshua Bengio. nips 2023: [doi]

FAENet: Frame Averaging Equivariant GNN for Materials ModelingAlexandre Duval, Victor Schmidt, Alex Hernández-García, Santiago Miret, Fragkiskos D. Malliaros, Yoshua Bengio, David Rolnick. icml 2023: 9013-9033 [doi]

Benchmarking Graph Neural NetworksVijay Prakash Dwivedi, Chaitanya K. Joshi, Anh Tuan Luu, Thomas Laurent 0001, Yoshua Bengio, Xavier Bresson. jmlr, 24, 2023. [doi]

Latent Bottlenecked Attentive Neural ProcessesLeo Feng, Hossein Hajimirsadeghi, Yoshua Bengio, Mohamed Osama Ahmed. iclr 2023: [doi]

GFlowNet-EM for Learning Compositional Latent Variable ModelsEdward J. Hu, Nikolay Malkin, Moksh Jain, Katie E. Everett, Alexandros Graikos, Yoshua Bengio. icml 2023: 13528-13549 [doi]

Multi-Objective GFlowNetsMoksh Jain, Sharath Chandra Raparthy, Alex Hernández-García, Jarrid Rector-Brooks, Yoshua Bengio, Santiago Miret, Emmanuel Bengio. icml 2023: 14631-14653 [doi]

Equivariance with Learned Canonicalization FunctionsSékou-Oumar Kaba, Arnab Kumar Mondal, Yan Zhang, Yoshua Bengio, Siamak Ravanbakhsh. icml 2023: 15546-15566 [doi]

Generative AI models should include detection mechanisms as a condition for public releaseAlistair Knott, Dino Pedreschi, Raja Chatila 0001, Tapabrata Chakraborti, Susan Leavy, Ricardo Baeza-Yates, David M. Eyers, Andrew Trotman, Paul D. Teal, Przemyslaw Biecek, Stuart Russell 0001, Yoshua Bengio. ethicsit, 25(4):55, December 2023. [doi]

The Effect of Diversity in Meta-LearningRamnath Kumar, Tristan Deleu, Yoshua Bengio. AAAI 2023: 8396-8404 [doi]

Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task LearningSébastien Lachapelle, Tristan Deleu, Divyat Mahajan, Ioannis Mitliagkas, Yoshua Bengio, Simon Lacoste-Julien, Quentin Bertrand. icml 2023: 18171-18206 [doi]

A theory of continuous generative flow networksSalem Lahlou, Tristan Deleu, Pablo Lemos, Dinghuai Zhang, Alexandra Volokhova, Alex Hernández-García, Léna Néhale Ezzine, Yoshua Bengio, Nikolay Malkin. icml 2023: 18269-18300 [doi]

DEUP: Direct Epistemic Uncertainty PredictionSalem Lahlou, Moksh Jain, Hadi Nekoei, Victor Butoi, Paul Bertin, Jarrid Rector-Brooks, Maksym Korablyov, Yoshua Bengio. tmlr, 2023, 2023. [doi]

Stateful Active Facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement LearningDianbo Liu, Vedant Shah, Oussama Boussif, Cristian Meo, Anirudh Goyal, Tianmin Shu, Michael Curtis Mozer, Nicolas Heess, Yoshua Bengio. iclr 2023: [doi]

Adaptive Discrete Communication Bottlenecks with Dynamic Vector Quantization for Heterogeneous Representational CoarsenessDianbo Liu, Alex Lamb, Xu Ji, Pascal Tikeng Notsawo Jr., Michael Mozer, Yoshua Bengio, Kenji Kawaguchi. AAAI 2023: 8825-8833 [doi]

GFlowOut: Dropout with Generative Flow NetworksDianbo Liu, Moksh Jain, Bonaventure F. P. Dossou, Qianli Shen, Salem Lahlou, Anirudh Goyal, Nikolay Malkin, Chris Chinenye Emezue, Dinghuai Zhang, Nadhir Hassen, Xu Ji, Kenji Kawaguchi, Yoshua Bengio. icml 2023: 21715-21729 [doi]

Learning GFlowNets From Partial Episodes For Improved Convergence And StabilityKanika Madan, Jarrid Rector-Brooks, Maksym Korablyov, Emmanuel Bengio, Moksh Jain, Andrei Cristian Nica, Tom Bosc, Yoshua Bengio, Nikolay Malkin. icml 2023: 23467-23483 [doi]

GFlowNets and variational inferenceNikolay Malkin, Salem Lahlou, Tristan Deleu, Xu Ji, Edward J. Hu, Katie Everett, Dinghuai Zhang, Yoshua Bengio. iclr 2023: [doi]

Laughing Hyena Distillery: Extracting Compact Recurrences From ConvolutionsStefano Massaroli, Michael Poli, Daniel Y. Fu, Hermann Kumbong, Rom N. Parnichkun, David W. Romero, Aman Timalsina, Quinn McIntyre, Beidi Chen, Atri Rudra, Ce Zhang 0001, Christopher Ré, Stefano Ermon, Yoshua Bengio. nips 2023: [doi]

Reusable Slotwise MechanismsTrang Nguyen, Amin Mansouri, Kanika Madan, Khuong Nguyen, Kartik Ahuja, Dianbo Liu, Yoshua Bengio. nips 2023: [doi]

HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide ResolutionEric Nguyen, Michael Poli, Marjan Faizi, Armin W. Thomas, Michael Wornow, Callum Birch-Sykes, Stefano Massaroli, Aman Patel, Clayton M. Rabideau, Yoshua Bengio, Stefano Ermon, Christopher Ré, Stephen Baccus. nips 2023: [doi]

Generative Augmented Flow NetworksLing Pan, Dinghuai Zhang, Aaron C. Courville, Longbo Huang, Yoshua Bengio. iclr 2023: [doi]

Stochastic Generative Flow NetworksLing Pan, Dinghuai Zhang, Moksh Jain, Longbo Huang, Yoshua Bengio. uai 2023: 1628-1638 [doi]

Better Training of GFlowNets with Local Credit and Incomplete TrajectoriesLing Pan, Nikolay Malkin, Dinghuai Zhang, Yoshua Bengio. icml 2023: 26878-26890 [doi]

Hyena Hierarchy: Towards Larger Convolutional Language ModelsMichael Poli, Stefano Massaroli, Eric Nguyen, Daniel Y. Fu, Tri Dao, Stephen Baccus, Yoshua Bengio, Stefano Ermon, Christopher Ré. icml 2023: 28043-28078 [doi]

Combining Parameter-efficient Modules for Task-level GeneralisationEdoardo Maria Ponti, Alessandro Sordoni, Yoshua Bengio, Siva Reddy. eacl 2023: 687-702 [doi]

Predictive Inference with Feature Conformal PredictionJiaye Teng, Chuan Wen, Dinghuai Zhang, Yoshua Bengio, Yang Gao 0029, Yang Yuan. iclr 2023: [doi]

SatBird: a Dataset for Bird Species Distribution Modeling using Remote Sensing and Citizen Science DataMélisande Teng, Amna Elmustafa, Benjamin Akera, Yoshua Bengio, Hager Radi Abdelwahed, Hugo Larochelle, David Rolnick. nips 2023: [doi]

Discrete Key-Value BottleneckFrederik Träuble, Anirudh Goyal, Nasim Rahaman, Michael Curtis Mozer, Kenji Kawaguchi, Yoshua Bengio, Bernhard Schölkopf. icml 2023: 34431-34455 [doi]

Robust and Controllable Object-Centric Learning through Energy-based ModelsRuixiang Zhang, Tong Che, Boris Ivanovic, Renhao Wang, Marco Pavone 0001, Yoshua Bengio, Liam Paull. iclr 2023: [doi]

Latent State Marginalization as a Low-cost Approach for Improving ExplorationDinghuai Zhang, Aaron C. Courville, Yoshua Bengio, Qinqing Zheng, Amy Zhang 0001, Ricky T. Q. Chen. iclr 2023: [doi]

Let the Flows Tell: Solving Graph Combinatorial Problems with GFlowNetsDinghuai Zhang, Hanjun Dai, Nikolay Malkin, Aaron C. Courville, Yoshua Bengio, Ling Pan. nips 2023: [doi]

MixupE: Understanding and improving Mixup from directional derivative perspectiveYingtian Zou, Vikas Verma, Sarthak Mittal, Wai Hoh Tang, Hieu Pham, Juho Kannala, Yoshua Bengio, Arno Solin, Kenji Kawaguchi. uai 2023: 2597-2607 [doi]

2022

Weakly Supervised Representation Learning with Sparse PerturbationsKartik Ahuja, Jason S. Hartford, Yoshua Bengio. nips 2022: [doi]

Properties from mechanisms: an equivariance perspective on identifiable representation learningKartik Ahuja, Jason Hartford, Yoshua Bengio. iclr 2022: [doi]

VIM: Variational Independent Modules for Video PredictionRim Assouel, Lluís Castrejón, Aaron C. Courville, Nicolas Ballas, Yoshua Bengio. clear2 2022: 70-89 [doi]

MAgNet: Mesh Agnostic Neural PDE SolverOussama Boussif, Yoshua Bengio, Loubna Benabbou, Dan Assouline. nips 2022: [doi]

Bayesian structure learning with generative flow networksTristan Deleu, António Góis, Chris Emezue, Mansi Rankawat, Simon Lacoste-Julien, Stefan Bauer, Yoshua Bengio. uai 2022: 518-528 [doi]

Continuous-Time Meta-Learning with Forward Mode DifferentiationTristan Deleu, David Kanaa, Leo Feng, Giancarlo Kerg, Yoshua Bengio, Guillaume Lajoie, Pierre-Luc Bacon. iclr 2022: [doi]

Temporal Latent Bottleneck: Synthesis of Fast and Slow Processing Mechanisms in Sequence LearningAniket Didolkar, Kshitij Gupta, Anirudh Goyal, Nitesh B. Gundavarapu, Alex Lamb, Nan Rosemary Ke, Yoshua Bengio. nips 2022: [doi]

Graph Neural Networks with Learnable Structural and Positional RepresentationsVijay Prakash Dwivedi, Anh Tuan Luu, Thomas Laurent 0001, Yoshua Bengio, Xavier Bresson. iclr 2022: [doi]

Towards Scaling Difference Target Propagation by Learning Backprop TargetsMaxence Ernoult, Fabrice Normandin, Abhinav Moudgil, Sean Spinney, Eugene Belilovsky, Irina Rish, Blake A. Richards, Yoshua Bengio. icml 2022: 5968-5987 [doi]

Temporal abstractions-augmented temporally contrastive learning: An alternative to the Laplacian in RLAkram Erraqabi, Marlos C. Machado, Mingde Zhao, Sainbayar Sukhbaatar, Alessandro Lazaric, Ludovic Denoyer, Yoshua Bengio. uai 2022: 641-651 [doi]

Controlled Sparsity via Constrained Optimization or: How I Learned to Stop Tuning Penalties and Love ConstraintsJose Gallego-Posada, Juan Ramirez, Akram Erraqabi, Yoshua Bengio, Simon Lacoste-Julien. nips 2022: [doi]

Coordination Among Neural Modules Through a Shared Global WorkspaceAnirudh Goyal, Aniket Rajiv Didolkar, Alex Lamb, Kartikeya Badola, Nan Rosemary Ke, Nasim Rahaman, Jonathan Binas, Charles Blundell, Michael Curtis Mozer, Yoshua Bengio. iclr 2022: [doi]

Lookback for Learning to BranchPrateek Gupta, Elias Boutros Khalil, Didier Chételat, Maxime Gasse, Andrea Lodi 0001, Yoshua Bengio, M. Pawan Kumar. tmlr, 2022, 2022. [doi]

Discrete Compositional Representations as an Abstraction for Goal Conditioned Reinforcement LearningRiashat Islam, Hongyu Zang, Anirudh Goyal, Alex M. Lamb, Kenji Kawaguchi, Xin Li, Romain Laroche, Yoshua Bengio, Remi Tachet des Combes. nips 2022: [doi]

Biological Sequence Design with GFlowNetsMoksh Jain, Emmanuel Bengio, Alex Hernández-García, Jarrid Rector-Brooks, Bonaventure F. P. Dossou, Chanakya Ajit Ekbote, Jie Fu, Tianyu Zhang, Michael Kilgour, Dinghuai Zhang, Lena Simine, Payel Das, Yoshua Bengio. icml 2022: 9786-9801 [doi]

Interpolated Adversarial Training: Achieving robust neural networks without sacrificing too much accuracyAlex Lamb, Vikas Verma, Kenji Kawaguchi, Alexander Matyasko, Savya Khosla, Juho Kannala, Yoshua Bengio. NN, 154:218-233, 2022. [doi]

A Two-Stream Continual Learning System With Variational Domain-Agnostic Feature ReplayQicheng Lao, Xiang Jiang 0001, Mohammad Havaei, Yoshua Bengio. tnn, 33(9):4466-4478, 2022. [doi]

Predicting Tactical Solutions to Operational Planning Problems Under Imperfect InformationEric Larsen, Sébastien Lachapelle, Yoshua Bengio, Emma Frejinger, Simon Lacoste-Julien, Andrea Lodi 0001. informs, 34(1):227-242, 2022. [doi]

RetroGNN: Fast Estimation of Synthesizability for Virtual Screening and De Novo Design by Learning from Slow Retrosynthesis SoftwareCheng-Hao Liu, Maksym Korablyov, Stanislaw Jastrzebski, Pawel Wlodarczyk-Pruszynski, Yoshua Bengio, Marwin H. S. Segler. jcisd, 62(10):2293-2300, 2022. [doi]

Trajectory balance: Improved credit assignment in GFlowNetsNikolay Malkin, Moksh Jain, Emmanuel Bengio, Chen Sun, Yoshua Bengio. nips 2022: [doi]

Is a Modular Architecture Enough?Sarthak Mittal, Yoshua Bengio, Guillaume Lajoie. nips 2022: [doi]

Compositional Attention: Disentangling Search and RetrievalSarthak Mittal, Sharath Chandra Raparthy, Irina Rish, Yoshua Bengio, Guillaume Lajoie. iclr 2022: [doi]

Chunked Autoregressive GAN for Conditional Waveform SynthesisMax Morrison, Rithesh Kumar, Kundan Kumar, Prem Seetharaman, Aaron C. Courville, Yoshua Bengio. iclr 2022: [doi]

Multi-scale Feature Learning Dynamics: Insights for Double DescentMohammad Pezeshki, Amartya Mitra, Yoshua Bengio, Guillaume Lajoie. icml 2022: 17669-17690 [doi]

ClimateGAN: Raising Climate Change Awareness by Generating Images of FloodsVictor Schmidt, Alexandra Luccioni, Mélisande Teng, Tianyu Zhang, Alexia Reynaud, Sunand Raghupathi, Gautier Cosne, Adrien Juraver, Vahe Vardanyan, Alex Hernández-García, Yoshua Bengio. iclr 2022: [doi]

Interpolation consistency training for semi-supervised learningVikas Verma, Kenji Kawaguchi, Alex Lamb, Juho Kannala, Arno Solin, Yoshua Bengio, David Lopez-Paz. NN, 145:90-106, 2022. [doi]

Neural Attentive CircuitsMartin Weiss, Nasim Rahaman, Francesco Locatello, Chris Pal, Yoshua Bengio, Bernhard Schölkopf, Li Erran Li, Nicolas Ballas. nips 2022: [doi]

Building Robust Ensembles via Margin BoostingDinghuai Zhang, Hongyang Zhang, Aaron C. Courville, Yoshua Bengio, Pradeep Ravikumar, Arun Sai Suggala. icml 2022: 26669-26692 [doi]

Unifying Likelihood-free Inference with Black-box Optimization and BeyondDinghuai Zhang, Jie Fu, Yoshua Bengio, Aaron C. Courville. iclr 2022: [doi]

Generative Flow Networks for Discrete Probabilistic ModelingDinghuai Zhang, Nikolay Malkin, Zhen Liu, Alexandra Volokhova, Aaron C. Courville, Yoshua Bengio. icml 2022: 26412-26428 [doi]

PMFL: Partial Meta-Federated Learning for heterogeneous tasks and its applications on real-world medical recordsTianyi Zhang, Shirui Zhang, Ziwei Chen, Yoshua Bengio, Dianbo Liu. bigdataconf 2022: 4453-4462 [doi]

2021

Systematic generalisation with group invariant predictionsFaruk Ahmed, Yoshua Bengio, Harm van Seijen, Aaron C. Courville. iclr 2021: [doi]

CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer LearningOssama Ahmed, Frederik Träuble, Anirudh Goyal, Alexander Neitz, Manuel Wuthrich, Yoshua Bengio, Bernhard Schölkopf, Stefan Bauer. iclr 2021: [doi]

Invariance Principle Meets Information Bottleneck for Out-of-Distribution GeneralizationKartik Ahuja, Ethan Caballero, Dinghuai Zhang, Jean-Christophe Gagnon-Audet, Yoshua Bengio, Ioannis Mitliagkas, Irina Rish. nips 2021: 3438-3450 [doi]

Inherent privacy limitations of decentralized contact tracing appsYoshua Bengio, Daphne Ippolito, Richard Janda, Max Jarvie, Benjamin Prud'homme, Jean-Franois Rousseau, Abhinav Sharma, Yun William Yu. jamia, 28(1):193-195, 2021. [doi]

Deep learning for AIYoshua Bengio, Yann LeCun, Geoffrey E. Hinton. CACM, 64(7):58-65, 2021. [doi]

Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative ModelsTong Che, Xiaofeng Liu 0001, Site Li, Yubin Ge, Ruixiang Zhang, Caiming Xiong, Yoshua Bengio. AAAI 2021: 7002-7010 [doi]

CAMAP: Artificial neural networks unveil the role of codon arrangement in modulating MHC-I peptides presentationTariq Daouda, Maude Dumont-Lagacé, Albert Feghaly, Yahya Benslimane, Rébecca Panes, Mathieu Courcelles, Mohamed Benhammadi, Lea Harrington, Pierre Thibault, François Major, Yoshua Bengio, Etienne Gagnon, Sébastien Lemieux, Claude Perreault. ploscb, 17(10), 2021. [doi]

Neural Production SystemsAniket Didolkar, Anirudh Goyal, Nan Rosemary Ke, Charles Blundell, Philippe Beaudoin, Nicolas Heess, Michael Mozer, Yoshua Bengio. nips 2021: 25673-25687 [doi]

Factorizing Declarative and Procedural Knowledge in Structured, Dynamical EnvironmentsAnirudh Goyal, Alex Lamb, Phanideep Gampa, Philippe Beaudoin, Charles Blundell, Sergey Levine, Yoshua Bengio, Michael Curtis Mozer. iclr 2021: [doi]

Recurrent Independent MechanismsAnirudh Goyal, Alex Lamb, Jordan Hoffmann, Shagun Sodhani, Sergey Levine, Yoshua Bengio, Bernhard Schölkopf. iclr 2021: [doi]

Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement LearningNan Rosemary Ke, Aniket Didolkar, Sarthak Mittal, Anirudh Goyal, Guillaume Lajoie, Stefan Bauer, Danilo Jimenez Rezende, Michael Mozer, Yoshua Bengio, Chris Pal. nips 2021: [doi]

Visual Concept Reasoning NetworksTaesup Kim, Sungwoong Kim, Yoshua Bengio. AAAI 2021: 8172-8180 [doi]

Neural Function Modules with Sparse Arguments: A Dynamic Approach to Integrating Information across LayersAlex Lamb, Anirudh Goyal, Agnieszka Slowik, Michael Mozer, Philippe Beaudoin, Yoshua Bengio. aistats 2021: 919-927 [doi]

Using Artificial Intelligence to Visualize the Impacts of Climate ChangeAlexandra Luccioni, Victor Schmidt, Vahe Vardanyan, Yoshua Bengio, Theresa-Marie Rhyne. cga, 41(1):8-14, 2021. [doi]

Fast And Slow Learning Of Recurrent Independent MechanismsKanika Madan, Nan Rosemary Ke, Anirudh Goyal, Bernhard Schölkopf, Yoshua Bengio. iclr 2021: [doi]

hBERT + BiasCorp - Fighting Racism on the WebOlawale Onabola, Zhuang Ma, Yang Xie, Benjamin Akera, Abdulrahman Ibraheem, Jia Xue, Dianbo Liu, Yoshua Bengio. ltedi 2021: 26-33 [doi]

Meta-Learning Framework with Applications to Zero-Shot Time-Series ForecastingBoris N. Oreshkin, Dmitri Carpov, Nicolas Chapados, Yoshua Bengio. AAAI 2021: 9242-9250 [doi]

An Analysis of the Adaptation Speed of Causal ModelsRémi Le Priol, Reza Babanezhad, Yoshua Bengio, Simon Lacoste-Julien. aistats 2021: 775-783 [doi]

RNNLogic: Learning Logic Rules for Reasoning on Knowledge GraphsMeng Qu, Junkun Chen, Louis-Pascal Xhonneux, Yoshua Bengio, Jian Tang. iclr 2021: [doi]

Toward Causal Representation LearningBernhard Schölkopf, Francesco Locatello, Stefan Bauer, Nan Rosemary Ke, Nal Kalchbrenner, Anirudh Goyal, Yoshua Bengio. pieee, 109(5):612-634, 2021. [doi]

Object-Centric Image Generation from LayoutsTristan Sylvain, Pengchuan Zhang, Yoshua Bengio, R. Devon Hjelm, Shikhar Sharma 0001. AAAI 2021: 2647-2655 [doi]

CMIM: Cross-Modal Information Maximization For Medical ImagingTristan Sylvain, Francis Dutil, Tess Berthier, Lisa Di-Jorio, Margaux Luck, R. Devon Hjelm, Yoshua Bengio. icassp 2021: 1190-1194 [doi]

Saliency is a Possible Red Herring When Diagnosing Poor GeneralizationJoseph D. Viviano, Becks Simpson, Francis Dutil, Yoshua Bengio, Joseph Paul Cohen. iclr 2021: [doi]

The Causal-Neural Connection: Expressiveness, Learnability, and InferenceKevin Xia, Kai-Zhan Lee, Yoshua Bengio, Elias Bareinboim. nips 2021: 10823-10836 [doi]

Learning Neural Generative Dynamics for Molecular Conformation GenerationMinkai Xu, Shitong Luo, Yoshua Bengio, Jian Peng, Jian Tang. iclr 2021: [doi]

An End-to-End Framework for Molecular Conformation Generation via Bilevel ProgrammingMinkai Xu, Wujie Wang, Shitong Luo, Chence Shi, Yoshua Bengio, Rafael Gómez-Bombarelli, Jian Tang. icml 2021: 11537-11547 [doi]

Combating False Negatives in Adversarial Imitation LearningKonrad Zolna, Chitwan Saharia, Léonard Boussioux, David Yu-Tung Hui, Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Yoshua Bengio. ijcnn 2021: 1-9 [doi]

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