Anirudh Goyal

Affiliations:

Mila - Quebec AI Institute, Montreal, QC, Canada
University of Montreal, QC, Canada

According to our database¹, Anirudh Goyal authored at least 93 papers between 2014 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

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In proceedings

Article

PhD thesis

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Other

Bibliography

2024

Accelerating Greedy Coordinate Gradient via Probe Sampling.

[BibT_eX]

[DOI]

CoRR, 2024

Keeping LLMs Aligned After Fine-tuning: The Crucial Role of Prompt Templates.

[BibT_eX]

[DOI]

CoRR, 2024

Can AI Be as Creative as Humans?

[BibT_eX]

[DOI]

CoRR, 2024

2023

A novel privacy protection approach with better human imperceptibility.

[BibT_eX]

[DOI]

Appl. Intell., October, 2023

Unlearning via Sparse Representations.

[BibT_eX]

[DOI]

CoRR, 2023

Physical Reasoning and Object Planning for Household Embodied Agents.

[BibT_eX]

[DOI]

CoRR, 2023

Skill-Mix: a Flexible and Expandable Family of Evaluations for AI models.

[BibT_eX]

[DOI]

CoRR, 2023

Aligning Text-to-Image Diffusion Models with Reward Backpropagation.

[BibT_eX]

[DOI]

CoRR, 2023

A Theory for Emergence of Complex Skills in Language Models.

[BibT_eX]

[DOI]

Sanjeev Arora

Anirudh Goyal

CoRR, 2023

Cycle Consistency Driven Object Discovery.

[BibT_eX]

[DOI]

Aniket Didolkar

Anirudh Goyal

Yoshua Bengio

CoRR, 2023

Spotlight Attention: Robust Object-Centric Learning With a Spatial Locality Prior.

[BibT_eX]

[DOI]

CoRR, 2023

DiscoGen: Learning to Discover Gene Regulatory Networks.

[BibT_eX]

[DOI]

Jean-Baptiste Lespiau

CoRR, 2023

Leveraging the Third Dimension in Contrastive Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Discrete Key-Value Bottleneck.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Test-time Adaptation with Slot-Centric Models.

[BibT_eX]

[DOI]

Mihir Prabhudesai

Anirudh Goyal

Sujoy Paul

Sjoerd van Steenkiste

Proceedings of the International Conference on Machine Learning, 2023

GFlowOut: Dropout with Generative Flow Networks.

[BibT_eX]

[DOI]

Dianbo Liu

Moksh Jain

Bonaventure F. P. Dossou

Chris Chinenye Emezue

Proceedings of the International Conference on Machine Learning, 2023

Stateful Active Facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning to Induce Causal Structure.

[BibT_eX]

[DOI]

Danilo Jimenez Rezende

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Representation Learning in Deep RL via Discrete Information Bottleneck.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Discrete Factorial Representations as an Abstraction for Goal Conditioned Reinforcement Learning.

[BibT_eX]

[DOI]

Remi Tachet des Combes

CoRR, 2022

On the Generalization and Adaption Performance of Causal Models.

[BibT_eX]

[DOI]

CoRR, 2022

Temporal Latent Bottleneck: Synthesis of Fast and Slow Processing Mechanisms in Sequence Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Coordinating Policies Among Multiple Agents via an Intelligent Communication Channel.

[BibT_eX]

[DOI]

CoRR, 2022

Learning to Induce Causal Structure.

[BibT_eX]

[DOI]

Danilo Jimenez Rezende

CoRR, 2022

Generating Fast and Slow: Scene Decomposition via Reconstruction.

[BibT_eX]

[DOI]

CoRR, 2022

Retrieval-Augmented Reinforcement Learning.

[BibT_eX]

[DOI]

Adrià Puigdomènech Badia

CoRR, 2022

Discrete Compositional Representations as an Abstraction for Goal Conditioned Reinforcement Learning.

[BibT_eX]

[DOI]

Remi Tachet des Combes

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Temporal Latent Bottleneck: Synthesis of Fast and Slow Processing Mechanisms in Sequence Learning.

[BibT_eX]

[DOI]

Aniket Didolkar

Kshitij Gupta

Anirudh Goyal

Nitesh B. Gundavarapu

Alex Lamb

Nan Rosemary Ke

Yoshua Bengio

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Retrieval-Augmented Reinforcement Learning.

[BibT_eX]

[DOI]

Adrià Puigdomènech Badia

Proceedings of the International Conference on Machine Learning, 2022

Learning by Directional Gradient Descent.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Coordination Among Neural Modules Through a Shared Global Workspace.

[BibT_eX]

[DOI]

Anirudh Goyal

Aniket Rajiv Didolkar

Proceedings of the Tenth International Conference on Learning Representations, 2022

Uniform Priors for Data-Efficient Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Toward Causal Representation Learning.

[BibT_eX]

[DOI]

Proc. IEEE, 2021

Learning Neural Causal Models with Active Interventions.

[BibT_eX]

[DOI]

CoRR, 2021

Variational Causal Networks: Approximate Bayesian Inference over Causal Structures.

[BibT_eX]

[DOI]

CoRR, 2021

Transformers with Competitive Ensembles of Independent Mechanisms.

[BibT_eX]

[DOI]

CoRR, 2021

Towards Causal Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Discrete-Valued Neural Communication.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning.

[BibT_eX]

[DOI]

Danilo Jimenez Rezende

Michael Mozer

Yoshua Bengio

Chris Pal

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Neural Production Systems.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Real Robot Challenge: A Robotics Competition in the Cloud.

[BibT_eX]

[DOI]

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

On Disentangled Representations Learned from Correlated Data.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Robust Representation Learning via Perceptual Similarity Metrics.

[BibT_eX]

[DOI]

Saeid Asgari Taghanaki

Kristy Choi

Amir Hosein Khasahmadi

Anirudh Goyal

Proceedings of the 38th International Conference on Machine Learning, 2021

Spatially Structured Recurrent Modules.

[BibT_eX]

[DOI]

Nasim Rahaman

Anirudh Goyal

Muhammad Waleed Gondal

Proceedings of the 9th International Conference on Learning Representations, 2021

Fast And Slow Learning Of Recurrent Independent Mechanisms.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Recurrent Independent Mechanisms.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Factorizing Declarative and Procedural Knowledge in Structured, Dynamical Environments.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Neural Function Modules with Sparse Arguments: A Dynamic Approach to Integrating Information across Layers.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

DIBS: Diversity Inducing Information Bottleneck in Model Ensembles.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Inductive Biases for Deep Learning of Higher-Level Cognition.

[BibT_eX]

[DOI]

Anirudh Goyal

Yoshua Bengio

CoRR, 2020

S2RMs: Spatially Structured Recurrent Modules.

[BibT_eX]

[DOI]

Nasim Rahaman

Anirudh Goyal

Muhammad Waleed Gondal

CoRR, 2020

Maximum Entropy Models for Fast Adaptation.

[BibT_eX]

[DOI]

Samarth Sinha

Anirudh Goyal

Animesh Garg

CoRR, 2020

Object Files and Schemata: Factorizing Declarative and Procedural Knowledge in Dynamical Systems.

[BibT_eX]

[DOI]

CoRR, 2020

Untangling tradeoffs between recurrence and self-attention in neural networks.

[BibT_eX]

[DOI]

CoRR, 2020

Is Independence all you need? On the Generalization of Representations Learned from Correlated Data.

[BibT_eX]

[DOI]

CoRR, 2020

Top-K Training of GANs: Improving Generators by Making Critics Less Critical.

[BibT_eX]

[DOI]

CoRR, 2020

Top-k Training of GANs: Improving GAN Performance by Throwing Away Bad Samples.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Untangling tradeoffs between recurrence and self-attention in artificial neural networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Small-GAN: Speeding up GAN Training using Core-Sets.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Learning the Arrow of Time for Problems in Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

The Variational Bandwidth Bottleneck: Stochastic Evaluation on an Information Budget.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Leveraging Communication Topologies Between Learning Agents in Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019

Learning Neural Causal Models from Unknown Interventions.

[BibT_eX]

[DOI]

CoRR, 2019

Learning the Arrow of Time.

[BibT_eX]

[DOI]

CoRR, 2019

Learning Powerful Policies by Using Consistent Dynamics Model.

[BibT_eX]

[DOI]

CoRR, 2019

State-Reification Networks: Improving Generalization by Modeling the Distribution of Hidden Representations.

[BibT_eX]

[DOI]

CoRR, 2019

Learning Dynamics Model in Reinforcement Learning by Incorporating the Long Term Future.

[BibT_eX]

[DOI]

CoRR, 2019

Communication Topologies Between Learning Agents in Deep Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2019

Maximum Entropy Generators for Energy-Based Models.

[BibT_eX]

[DOI]

CoRR, 2019

State-Reification Networks: Improving Generalization by Modeling the Distribution of Hidden Representations.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Modeling the Long Term Future in Model-Based Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

InfoBot: Transfer and Exploration via the Information Bottleneck.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

Recall Traces: Backtracking Models for Efficient Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Sparse Attentive Backtracking: Temporal CreditAssignment Through Reminding.

[BibT_eX]

[DOI]

CoRR, 2018

Generalization of Equilibrium Propagation to Vector Field Dynamics.

[BibT_eX]

[DOI]

CoRR, 2018

Fortified Networks: Improving the Robustness of Deep Networks by Modeling the Manifold of Hidden Representations.

[BibT_eX]

[DOI]

CoRR, 2018

Recall Traces: Backtracking Models for Efficient Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2018

Sparse Attentive Backtracking: Temporal Credit Assignment Through Reminding.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Extending the Framework of Equilibrium Propagation to General Dynamics.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

ACtuAL: Actor-Critic Under Adversarial Learning.

[BibT_eX]

[DOI]

CoRR, 2017

Sparse Attentive Backtracking: Long-Range Credit Assignment in Recurrent Networks.

[BibT_eX]

[DOI]

CoRR, 2017

Z-Forcing: Training Stochastic Recurrent Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Variational Walkback: Learning a Transition Operator as a Stochastic Recurrent Net.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Learning Representations, 2017

An Actor-Critic Algorithm for Sequence Prediction.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations.

[BibT_eX]

[DOI]

CoRR, 2016

Professor Forcing: A New Algorithm for Training Recurrent Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

Stories in the Eye: Contextual Visual Interactions for Efficient Video to Language Translation.

[BibT_eX]

[DOI]

Anirudh Goyal

Marius Leordeanu

CoRR, 2015

2014

Monocular vision based road marking recognition for driver assistance and safety.

[BibT_eX]

[DOI]

Brijendra Kumar Bharti

C. V. Jawahar

Proceedings of the IEEE International Conference on Vehicular Electronics and Safety, 2014

Anirudh Goyal

Timeline

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