Author

Aniket Didolkar

Observed names: Didolkar, A., Didolkar, Aniket, Didolkar, Aniket Rajiv

Institutions: Mila - Quebec Artificial Intelligence Institute, Université de Montréal

Observed institutions: Indraprastha Institute of Information Technology Delhi, Google (United States), Manipal Academy of Higher Education, Netaji Subhas University of Technology, Mila - Quebec Artificial Intelligence Institute, Microsoft Research New York City (United States), Université de Montréal

ORCID: 0000-0001-9183-3144

Observed ORCID: 0000-0001-9183-3144

OpenAlex ID: A5033636537

Coordination Among Neural Modules Through a Shared Global Workspace

2021 · Goyal, Anirudh, Didolkar, Aniket, et al. · arXiv (Cornell University) · 59

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

2019 · Arijit Ghosh Chowdhury, Aniket Didolkar, et al. · Annual Meeting of the Association for Computational Linguistics: Student Research Workshop (ACL SRW) · 34

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Neural Production Systems

2021 · Anirudh Goyal, Aniket Didolkar, et al. · arXiv (Cornell University) · 22

SpeechMix — Augmenting Deep Sound Recognition Using Hidden Space Interpolations

2020 · Amit Jindal, Narayanan Elavathur Ranganatha, et al. · Interspeech (USB) · 18

Augmenting NLP models using Latent Feature Interpolations

2020 · Amit Jindal, Arijit Ghosh Chowdhury, et al. · International Conference on Computational Linguistics · 18

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Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning

2021 · Ke, Nan Rosemary, Didolkar, Aniket, et al. · arXiv (Cornell University) · 8

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Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving

2024 · Aniket Didolkar, Anirudh Goyal, et al. · neural information processing systems · 7

Beyond Hostile Linguistic Cues

2019 · Arijit Ghosh Chowdhury, Aniket Didolkar, et al. · ACM Conference on Hypertext and Social Media (HT) · 7

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

2022 · Aniket Didolkar, Kshitij Gupta, et al. · neural information processing systems · 6

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Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving

2024 · Didolkar, Aniket, Goyal, Anirudh, et al. · arXiv (Cornell University) · 5

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CTRL-O: Language-Controllable Object-Centric Visual Representation Learning

2025 · Aniket Didolkar, Andrii Zadaianchuk, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 3

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Representation Learning in Deep RL via Discrete Information Bottleneck

2022 · Islam, Riashat, Zang, Hongyu, et al. · arXiv (Cornell University) · 1

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

2022 · Islam, Riashat, Tomar, Manan, et al. · arXiv (Cornell University) · 1

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

2022 · Lamb, Alex, Islam, Riashat, et al. · arXiv (Cornell University) · 1

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Rethinking Thinking Tokens: LLMs as Improvement Operators

2025 · Madaan, Lovish, Didolkar, Aniket, et al. · arXiv (Cornell University)