Ishita Dasgupta

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Eric SchulzHelmholtz MunichDirección de correo verificada de helmholtz-munich.de
Samuel GershmanProfessor, Harvard UniversityDirección de correo verificada de fas.harvard.edu
Thomas L. GriffithsProfessor of Psychology and Computer Science, Princeton UniversityDirección de correo verificada de princeton.edu
Felix HillResearch Scientist, DeepmindDirección de correo verificada de google.com
Andrew Kyle LampinenResearch Scientist, DeepMindDirección de correo verificada de google.com
Stephanie C.Y. ChanSenior Research Scientist, Google DeepMindDirección de correo verificada de deepmind.com
Jane X. WangStaff Research Scientist, DeepMindDirección de correo verificada de google.com
James L. McClellandStanford UniversityDirección de correo verificada de stanford.edu
Noah D. GoodmanStanford UniversityDirección de correo verificada de stanford.edu
Matthew BotvinickGoogle DeepMind, Yale Law School, University College LondonDirección de correo verificada de google.com
Erin GrantSenior Research Fellow, University College LondonDirección de correo verificada de ucl.ac.uk
Demi GuoHarvard UniversityDirección de correo verificada de college.harvard.edu
Dharshan KumaranGoogle DeepMindDirección de correo verificada de fil.ion.ucl.ac.uk
Arun AhujaGoogle Deepmind, Mount Sinai School of Medicine, Northwestern UniversityDirección de correo verificada de google.com
Jonathan D. CohenProfessor of Psychology, Co-Director of Princeton Neuroscience Institute, Princeton UniversityDirección de correo verificada de princeton.edu
Sreejan KumarPhD Candidate, Princeton UniversityDirección de correo verificada de princeton.edu
Joshua B. TenenbaumMITDirección de correo verificada de mit.edu
Rob FergusResearch Scientist, DeepMind. Professor of Computer Science, New York UniversityDirección de correo verificada de cs.nyu.edu
Kenneth MarinoDeepMindDirección de correo verificada de deepmind.com
Silvia ChiappaSenior Staff Research Scientist, Google DeepMind; Honorary Professor, UCLDirección de correo verificada de google.com

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Ishita Dasgupta

Senior Research Scientist, DeepMind

Dirección de correo verificada de google.com - Página principal

machine learning computational cognitive science


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ... arXiv preprint arXiv:2312.11805, 2023	457	2023
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	196	2022
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	175	2021
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	132	2018
Where do hypotheses come from? I Dasgupta, E Schulz, SJ Gershman Cognitive psychology 96, 1-25, 2017	131	2017
Causal reasoning from meta-reinforcement learning I Dasgupta, J Wang, S Chiappa, J Mitrovic, P Ortega, D Raposo, ... arXiv preprint arXiv:1901.08162, 2019	122	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	117	2022
A theory of learning to infer. I Dasgupta, E Schulz, JB Tenenbaum, SJ Gershman Psychological review 127 (3), 412, 2020	73	2020
Remembrance of inferences past: Amortization in human hypothesis generation I Dasgupta, E Schulz, ND Goodman, SJ Gershman Cognition 178, 67-81, 2018	70	2018
Memory as a computational resource I Dasgupta, SJ Gershman Trends in Cognitive Sciences 25 (3), 240-251, 2021	55	2021
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	37	2022
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	33	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	26	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	26	2022
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
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	21*	2020
Meta-learned models of cognition M Binz, I Dasgupta, AK Jagadish, M Botvinick, JX Wang, E Schulz Behavioral and Brain Sciences, 1-38, 2023	18	2023
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
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	14	2023
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	13	2018

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