Ishita Dasgupta
Ishita Dasgupta
Senior Research Scientist, DeepMind New York City
Verified email at - Homepage
Cited by
Cited by
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
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
Where do hypotheses come from?
I Dasgupta, E Schulz, SJ Gershman
Cognitive psychology 96, 1-25, 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
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
Remembrance of inferences past: Amortization in human hypothesis generation
I Dasgupta, E Schulz, ND Goodman, SJ Gershman
Cognition 178, 67-81, 2018
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
A theory of learning to infer.
I Dasgupta, E Schulz, JB Tenenbaum, SJ Gershman
Psychological review 127 (3), 412, 2020
Memory as a computational resource
I Dasgupta, SJ Gershman
Trends in Cognitive Sciences 25 (3), 240-251, 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
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
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
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
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
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
Resonating valence-bond physics on the honeycomb lattice
P Patil, I Dasgupta, K Damle
Physical Review B 90 (24), 245121, 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
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
Analyzing machine‐learned representations: A natural language case study
I Dasgupta, D Guo, SJ Gershman, ND Goodman
Cognitive Science 44 (12), e12925, 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
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