Ishita Dasgupta

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Eric SchulzMax Planck Institute for Biological CyberneticsVerified email at tue.mpg.de
Samuel GershmanProfessor, Harvard UniversityVerified email at fas.harvard.edu
Thomas L. GriffithsProfessor of Psychology and Computer Science, Princeton UniversityVerified email at princeton.edu
Jane X. WangStaff Research Scientist, DeepMindVerified email at google.com
Felix HillResearch Scientist, DeepmindVerified email at google.com
Andrew Kyle LampinenResearch Scientist, DeepMindVerified email at google.com
Stephanie C.Y. ChanSenior Research Scientist, Google DeepMindVerified email at deepmind.com
Noah D. GoodmanStanford UniversityVerified email at stanford.edu
Erin GrantSenior Research Fellow, University College LondonVerified email at ucl.ac.uk
James L. McClellandStanford UniversityVerified email at stanford.edu
Demi GuoHarvard UniversityVerified email at college.harvard.edu
Matthew BotvinickGoogle DeepMind, Yale Law School, University College LondonVerified email at google.com
Jonathan D. CohenProfessor of Psychology, Co-Director of Princeton Neuroscience Institute, Princeton UniversityVerified email at princeton.edu
Sreejan KumarPhD Candidate, Princeton UniversityVerified email at princeton.edu
Dharshan KumaranGoogle DeepMindVerified email at fil.ion.ucl.ac.uk
Joshua B. TenenbaumMITVerified email at mit.edu
Silvia ChiappaSenior Staff Research Scientist, Google DeepMind; Honorary Professor, UCLVerified email at google.com
Jovana MitrovicResearch Scientist at DeepMindVerified email at google.com
Zeb Kurth-NelsonDeepMind, UCLVerified email at google.com
Pedro A. OrtegaArtificial Intelligence & Machine LearningVerified email at adaptiveagents.org

Ishita Dasgupta

Senior Research Scientist, DeepMind New York City

Verified email at google.com - Homepage

machine learning computational cognitive science


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Are Convolutional Neural Networks or Transformers more like human vision? S Tuli, I Dasgupta, E Grant, TL Griffiths Proceedings of the Annual Meeting of the Cognitive Science Society 43 (43), 2021	137	2021
Can language models learn from explanations in context? AK Lampinen, I Dasgupta, SCY Chan, K Matthewson, MH Tessler, ... Findings of the Association for Computational Linguistics: EMNLP 2022, 537--563, 2022	134	2022
Where do hypotheses come from? I Dasgupta, E Schulz, SJ Gershman Cognitive psychology 96, 1-25, 2017	124	2017
Evaluating compositionality in sentence embeddings I Dasgupta, D Guo, A Stuhlmüller, SJ Gershman, ND Goodman Proceedings of the Annual Meeting of the Cognitive Science Society 40 (40), 2018	123	2018
Causal reasoning from meta-reinforcement learning I Dasgupta, J Wang, S Chiappa, J Mitrovic, P Ortega, D Raposo, ... arXiv preprint arXiv:1901.08162, 2019	113	2019
Language models show human-like content effects on reasoning I Dasgupta, AK Lampinen, SCY Chan, A Creswell, D Kumaran, ... arXiv preprint arXiv:2207.07051, 2022	71	2022
Remembrance of inferences past: Amortization in human hypothesis generation I Dasgupta, E Schulz, ND Goodman, SJ Gershman Cognition 178, 67-81, 2018	68	2018
A theory of learning to infer. I Dasgupta, E Schulz, JB Tenenbaum, SJ Gershman Psychological review 127 (3), 412, 2020	60	2020
Memory as a computational resource I Dasgupta, SJ Gershman Trends in Cognitive Sciences 25 (3), 240-251, 2021	48	2021
A buried ionizable residue destabilizes the native state and the transition state in the folding of monellin N Aghera, I Dasgupta, JB Udgaonkar Biochemistry 51 (45), 9058-9066, 2012	25	2012
Tell me why! explanations support learning relational and causal structure AK Lampinen, N Roy, I Dasgupta, SCY Chan, A Tam, J Mcclelland, C Yan, ... International Conference on Machine Learning, 11868-11890, 2022	22	2022
Collaborating with language models for embodied reasoning I Dasgupta, C Kaeser-Chen, K Marino, A Ahuja, S Babayan, F Hill, ... NeurIPS 2022 Language and Reinforcement Learning Workshop, 2022	21	2022
Using natural language and program abstractions to instill human inductive biases in machines S Kumar, CG Correa, I Dasgupta, R Marjieh, MY Hu, R Hawkins, ... Advances in Neural Information Processing Systems 35, 167-180, 2022	17	2022
Transformers generalize differently from information stored in context vs in weights SCY Chan, I Dasgupta, J Kim, D Kumaran, AK Lampinen, F Hill Memory in Artificial and Real Intelligence (MemARI) workshop NeurIPS 2022, 2022	17	2022
Passive attention in artificial neural networks predicts human visual selectivity TA Langlois, HC Zhao, E Grant, I Dasgupta, TL Griffiths, N Jacoby Advances in Neural Information Processing Systems 34, 2021	16	2021
Meta-Learning of Structured Task Distributions in Humans and Machines S Kumar, I Dasgupta, JD Cohen, ND Daw, TL Griffiths International Conference on Learning Representations, 2021, 2020	16*	2020
Resonating valence-bond physics on the honeycomb lattice P Patil, I Dasgupta, K Damle Physical Review B 90 (24), 245121, 2014	13	2014
Learning to act by integrating mental simulations and physical experiments I Dasgupta, KA Smith, E Schulz, JB Tenenbaum, SJ Gershman Proceedings of the Annual Meeting of the Cognitive Science Society 40 (40), 2018	11	2018
Analyzing machine‐learned representations: A natural language case study I Dasgupta, D Guo, SJ Gershman, ND Goodman Cognitive Science 44 (12), e12925, 2020	9	2020
Distilling internet-scale vision-language models into embodied agents T Sumers, K Marino, A Ahuja, R Fergus, I Dasgupta arXiv preprint arXiv:2301.12507, 2023	8	2023

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