Aniket Didolkar

According to our database, Aniket Didolkar authored at least 22 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Object-Centric Temporal Consistency via Conditional Autoregressive Inductive Biases.

Cristian Meo, Akihiro Nakano, Mircea Lica, Aniket Didolkar, Masahiro Suzuki, Anirudh Goyal, Mengmi Zhang, Justin Dauwels, Yutaka Matsuo, Yoshua Bengio

CoRR, 2024

Masked Generative Priors Improve World Models Sequence Modelling Capabilities.

Cristian Meo, Mircea Lica, Zarif Ikram, Akihiro Nakano, Vedant Shah, Aniket Rajiv Didolkar, Dianbo Liu, Anirudh Goyal, Justin Dauwels

CoRR, 2024

Automated Discovery of Pairwise Interactions from Unstructured Data.

Zuheng Xu, Moksh Jain, Ali Denton, Shawn Whitfield, Aniket Didolkar, Berton Earnshaw, Jason S. Hartford

CoRR, 2024

Zero-Shot Object-Centric Representation Learning.

Aniket Didolkar, Andrii Zadaianchuk, Anirudh Goyal, Michael C. Mozer, Yoshua Bengio, Georg Martius, Maximilian Seitzer

CoRR, 2024

Learning Beyond Pattern Matching? Assaying Mathematical Understanding in LLMs.

Siyuan Guo, Aniket Didolkar, Nan Rosemary Ke, Anirudh Goyal, Ferenc Huszár, Bernhard Schölkopf

CoRR, 2024

Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving.

Aniket Didolkar, Anirudh Goyal, Nan Rosemary Ke, Siyuan Guo, Michal Valko, Timothy P. Lillicrap, Danilo J. Rezende, Yoshua Bengio, Michael Mozer, Sanjeev Arora

CoRR, 2024

Cycle Consistency Driven Object Discovery.

Aniket Rajiv Didolkar, Anirudh Goyal, Yoshua Bengio

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Guaranteed Discovery of Control-Endogenous Latent States with Multi-Step Inverse Models.

Alex Lamb, Riashat Islam, Yonathan Efroni, Aniket Rajiv Didolkar, Dipendra Misra, Dylan J. Foster, Lekan P. Molu, Rajan Chari, Akshay Krishnamurthy, John Langford

Trans. Mach. Learn. Res., 2023

Principled Offline RL in the Presence of Rich Exogenous Information.

Riashat Islam, Manan Tomar, Alex Lamb, Yonathan Efroni, Hongyu Zang, Aniket Rajiv Didolkar, Dipendra Misra, Xin Li, Harm van Seijen, Remi Tachet des Combes, John Langford

Proceedings of the International Conference on Machine Learning, 2023

Representation Learning in Deep RL via Discrete Information Bottleneck.

Riashat Islam, Hongyu Zang, Manan Tomar, Aniket Didolkar, Md Mofijul Islam, Samin Yeasar Arnob, Tariq Iqbal, Xin Li, Anirudh Goyal, Nicolas Heess, Alex Lamb

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

2022

Agent-Controller Representations: Principled Offline RL with Rich Exogenous Information.

Riashat Islam, Manan Tomar, Alex Lamb, Yonathan Efroni, Hongyu Zang, Aniket Didolkar, Dipendra Misra, Xin Li, Harm van Seijen, Remi Tachet des Combes, John Langford

CoRR, 2022

CNT (Conditioning on Noisy Targets): A new Algorithm for Leveraging Top-Down Feedback.

Alexia Jolicoeur-Martineau, Alex Lamb, Vikas Verma, Aniket Didolkar

CoRR, 2022

Guaranteed Discovery of Controllable Latent States with Multi-Step Inverse Models.

Alex Lamb, Riashat Islam, Yonathan Efroni, Aniket Didolkar, Dipendra Misra, Dylan J. Foster, Lekan P. Molu, Rajan Chari, Akshay Krishnamurthy, John Langford

CoRR, 2022

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

Aniket Didolkar, Kshitij Gupta, Anirudh Goyal, Alex Lamb, Nan Rosemary Ke, Yoshua Bengio

CoRR, 2022

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

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

Coordination Among Neural Modules Through a Shared Global Workspace.

Anirudh Goyal, Aniket Rajiv Didolkar, Alex Lamb, Kartikeya Badola, Nan Rosemary Ke, Nasim Rahaman, Jonathan Binas, Charles Blundell, Michael Curtis Mozer, Yoshua Bengio

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

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

Nan Rosemary Ke, Aniket Didolkar, Sarthak Mittal, Anirudh Goyal, Guillaume Lajoie, Stefan Bauer, 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.

Aniket Didolkar, Anirudh Goyal, Nan Rosemary Ke, Charles Blundell, Philippe Beaudoin, Nicolas Heess, Michael Mozer, Yoshua Bengio

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

2020

SpeechMix - Augmenting Deep Sound Recognition Using Hidden Space Interpolations.

Amit Jindal, Narayanan Elavathur Ranganatha, Aniket Didolkar, Arijit Ghosh Chowdhury, Di Jin, Ramit Sawhney, Rajiv Ratn Shah

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Augmenting NLP models using Latent Feature Interpolations.

Amit Jindal, Arijit Ghosh Chowdhury, Aniket Didolkar, Di Jin, Ramit Sawhney, Rajiv Ratn Shah

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019

Beyond Hostile Linguistic Cues: The Gravity of Online Milieu for Hate Speech Detection in Arabic.

Arijit Ghosh Chowdhury, Aniket Didolkar, Ramit Sawhney, Rajiv Ratn Shah

Proceedings of the 30th ACM Conference on Hypertext and Social Media, 2019

ARHNet - Leveraging Community Interaction for Detection of Religious Hate Speech in Arabic.

Arijit Ghosh Chowdhury, Aniket Didolkar, Ramit Sawhney, Rajiv Ratn Shah

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019