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ORCIDAndrew K. Lampinen
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- affiliation: Stanford University, Department of Psychology, CA, USA
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2020 – today
- 2022
[c7]Andrew K. Lampinen, Nicholas A. Roy, Ishita Dasgupta, Stephanie Cy Chan, Allison C. Tam, James L. McClelland, Chen Yan, Adam Santoro, Neil C. Rabinowitz, Jane X. Wang, Felix Hill:
Tell me why! Explanations support learning relational and causal structure. ICML 2022: 11868-11890- [i21]Stephanie C. Y. Chan, Andrew K. Lampinen, Pierre H. Richemond, Felix Hill:
Zipfian environments for Reinforcement Learning. CoRR abs/2203.08222 (2022) - [i20]Andrew K. Lampinen, Ishita Dasgupta, Stephanie C. Y. Chan, Kory Matthewson, Michael Henry Tessler, Antonia Creswell, James L. McClelland, Jane X. Wang, Felix Hill:
Can language models learn from explanations in context? CoRR abs/2204.02329 (2022) - [i19]Allison C. Tam, Neil C. Rabinowitz, Andrew K. Lampinen, Nicholas A. Roy, Stephanie C. Y. Chan, DJ Strouse, Jane X. Wang, Andrea Banino, Felix Hill:
Semantic Exploration from Language Abstractions and Pretrained Representations. CoRR abs/2204.05080 (2022) - [i18]Stephanie C. Y. Chan, Adam Santoro, Andrew K. Lampinen, Jane X. Wang, Aaditya Singh, Pierre H. Richemond, Jay McClelland, Felix Hill:
Data Distributional Properties Drive Emergent In-Context Learning in Transformers. CoRR abs/2205.05055 (2022) - [i17]Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R. Brown, Adam Santoro, Aditya Gupta, Adrià Garriga-Alonso, Agnieszka Kluska, Aitor Lewkowycz, Akshat Agarwal, Alethea Power, Alex Ray, Alex Warstadt, Alexander W. Kocurek, Ali Safaya, Ali Tazarv, Alice Xiang, Alicia Parrish, Allen Nie, Aman Hussain, Amanda Askell, Amanda Dsouza, Ameet Rahane, Anantharaman S. Iyer, Anders Andreassen, Andrea Santilli, Andreas Stuhlmüller, Andrew M. Dai, Andrew La, Andrew K. Lampinen, Andy Zou, Angela Jiang, Angelica Chen, Anh Vuong, Animesh Gupta, Anna Gottardi, Antonio Norelli, Anu Venkatesh, Arash Gholamidavoodi, Arfa Tabassum, Arul Menezes, Arun Kirubarajan, Asher Mullokandov, Ashish Sabharwal, Austin Herrick, Avia Efrat, Aykut Erdem, Ayla Karakas, et al.:
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. CoRR abs/2206.04615 (2022) - [i16]Aaditya K. Singh, David Ding, Andrew Saxe
, Felix Hill, Andrew K. Lampinen:
Know your audience: specializing grounded language models with the game of Dixit. CoRR abs/2206.08349 (2022) - [i15]Ishita Dasgupta, Andrew K. Lampinen, Stephanie C. Y. Chan, Antonia Creswell, Dharshan Kumaran, James L. McClelland, Felix Hill:
Language models show human-like content effects on reasoning. CoRR abs/2207.07051 (2022) - [i14]Stephanie C. Y. Chan, Ishita Dasgupta, Junkyung Kim, Dharshan Kumaran, Andrew K. Lampinen, Felix Hill:
Transformers generalize differently from information stored in context vs in weights. CoRR abs/2210.05675 (2022) - [i13]Andrew Kyle Lampinen:
Can language models handle recursively nested grammatical structures? A case study on comparing models and humans. CoRR abs/2210.15303 (2022) - 2021
- [c6]Andrew K. Lampinen, Stephanie C. Y. Chan, Andrea Banino, Felix Hill:
Towards mental time travel: a hierarchical memory for reinforcement learning agents. NeurIPS 2021: 28182-28195 - [i12]Adam Santoro, Andrew K. Lampinen, Kory W. Mathewson, Timothy P. Lillicrap, David Raposo:
Symbolic Behaviour in Artificial Intelligence. CoRR abs/2102.03406 (2021) - [i11]Andrew Kyle Lampinen, Stephanie C. Y. Chan, Andrea Banino, Felix Hill:
Towards mental time travel: a hierarchical memory for reinforcement learning agents. CoRR abs/2105.14039 (2021) - [i10]Andrew K. Lampinen, Nicholas A. Roy, Ishita Dasgupta, Stephanie C. Y. Chan, Allison C. Tam, James L. McClelland, Chen Yan, Adam Santoro, Neil C. Rabinowitz, Jane X. Wang, Felix Hill:
Tell me why! - Explanations support learning of relational and causal structure. CoRR abs/2112.03753 (2021) - [i9]Wilka Carvalho, Andrew K. Lampinen, Kyriacos Nikiforou, Felix Hill, Murray Shanahan:
Feature-Attending Recurrent Modules for Generalization in Reinforcement Learning. CoRR abs/2112.08369 (2021) - 2020
- [j1]Andrew K. Lampinen, James L. McClelland:
Transforming task representations to perform novel tasks. Proc. Natl. Acad. Sci. USA 117(52): 32970-32981 (2020) - [c5]Felix Hill, Andrew K. Lampinen, Rosalia Schneider, Stephen Clark, Matthew M. Botvinick, James L. McClelland, Adam Santoro:
Environmental drivers of systematicity and generalization in a situated agent. ICLR 2020 - [c4]Sébastien Racanière, Andrew K. Lampinen, Adam Santoro, David P. Reichert, Vlad Firoiu, Timothy P. Lillicrap:
Automated curriculum generation through setter-solver interactions. ICLR 2020 - [c3]Katherine L. Hermann, Andrew K. Lampinen:
What shapes feature representations? Exploring datasets, architectures, and training. NeurIPS 2020 - [i8]Andrew K. Lampinen, James L. McClelland:
Transforming task representations to allow deep learning models to perform novel tasks. CoRR abs/2005.04318 (2020) - [i7]Katherine L. Hermann, Andrew K. Lampinen:
What shapes feature representations? Exploring datasets, architectures, and training. CoRR abs/2006.12433 (2020)
2010 – 2019
- 2019
- [c2]Andrew K. Lampinen, Surya Ganguli:
An analytic theory of generalization dynamics and transfer learning in deep linear networks. ICLR (Poster) 2019 - [i6]Andrew K. Lampinen, James L. McClelland:
Embedded Meta-Learning: Toward more flexible deep-learning models. CoRR abs/1905.09950 (2019) - [i5]Sébastien Racanière, Andrew K. Lampinen, Adam Santoro, David P. Reichert, Vlad Firoiu, Timothy P. Lillicrap:
Automated curricula through setter-solver interactions. CoRR abs/1909.12892 (2019) - [i4]Felix Hill, Andrew K. Lampinen, Rosalia Schneider, Stephen Clark, Matthew M. Botvinick, James L. McClelland, Adam Santoro:
Emergent Systematic Generalization in a Situated Agent. CoRR abs/1910.00571 (2019) - 2018
- [i3]Andrew K. Lampinen, Surya Ganguli:
An analytic theory of generalization dynamics and transfer learning in deep linear networks. CoRR abs/1809.10374 (2018) - 2017
- [c1]Andrew K. Lampinen, Shaw Hsu, James L. McClelland:
Analogies Emerge from Learning Dyamics in Neural Networks. CogSci 2017 - [i2]Andrew Kyle Lampinen, David So, Douglas Eck, Fred Bertsch:
Improving image generative models with human interactions. CoRR abs/1709.10459 (2017) - [i1]Andrew K. Lampinen, James L. McClelland:
One-shot and few-shot learning of word embeddings. CoRR abs/1710.10280 (2017)
Coauthor Index
aka: Jay McClelland
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