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ORCIDChristopher G. Lucas
Person information
- affiliation: University of Edinburgh, School of Informatics, UK
- affiliation (2010 - 2013): Carnegie Mellon University, Department of Psychology, Pittsburgh, PA, USA
- affiliation (PhD 2010): University of California, Berkeley, Department of Psychology, CA, USA
Other persons with the same name
- Christopher Lucas 0002 — Pennsylvania State University, University Park, PA, USA
- Chris Lucas 0002 — Babylon Health, London, UK
- Chris Lucas 0003 — Vrije Universiteit Amsterdam, SPINLab, The Netherlands
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2020 – today
- 2024
[i18]Samuel Garcin, James Doran, Shangmin Guo, Christopher G. Lucas, Stefano V. Albrecht:
ICED: Zero-Shot Transfer in Reinforcement Learning via In-Context Environment Design. CoRR abs/2402.03479 (2024)- 2023
- [c37]Verna Dankers, Christopher Lucas:
Non-Compositionality in Sentiment: New Data and Analyses. EMNLP (Findings) 2023: 5150-5162 - [i17]Balint Gyevnar, Cheng Wang, Christopher G. Lucas, Shay B. Cohen, Stefano V. Albrecht:
Causal Social Explanations for Stochastic Sequential Multi-Agent Decision-Making. CoRR abs/2302.10809 (2023) - [i16]Max Taylor-Davies, Stephanie Droop, Christopher G. Lucas:
Selective imitation on the basis of reward function similarity. CoRR abs/2305.07421 (2023) - [i15]Simon Valentin, Steven Kleinegesse, Neil R. Bramley, Peggy Seriès, Michael U. Gutmann, Christopher G. Lucas:
Designing Optimal Behavioral Experiments Using Machine Learning. CoRR abs/2305.07721 (2023) - [i14]Sigrid Passano Hellan, Christopher G. Lucas, Nigel H. Goddard:
Bayesian Optimisation Against Climate Change: Applications and Benchmarks. CoRR abs/2306.04343 (2023) - [i13]Alessandro B. Palmarini, Christopher G. Lucas, N. Siddharth:
DreamDecompiler: Improved Bayesian Program Learning by Decompiling Amortised Knowledge. CoRR abs/2306.07856 (2023) - [i12]Samuel Garcin, James Doran, Shangmin Guo, Christopher G. Lucas, Stefano V. Albrecht:
How the level sampling process impacts zero-shot generalisation in deep reinforcement learning. CoRR abs/2310.03494 (2023) - [i11]Max Taylor-Davies, Christopher G. Lucas:
Balancing utility and cognitive cost in social representation. CoRR abs/2310.04852 (2023) - [i10]Verna Dankers, Christopher G. Lucas:
Non-Compositionality in Sentiment: New Data and Analyses. CoRR abs/2310.20656 (2023) - [i9]Sigrid Passano Hellan, Christopher G. Lucas, Nigel H. Goddard:
Data-driven Prior Learning for Bayesian Optimisation. CoRR abs/2311.14653 (2023) - 2022
- [c36]Sigrid Passano Hellan, Christopher G. Lucas, Nigel H. Goddard:
Bayesian Optimisation for Active Monitoring of Air Pollution. AAAI 2022: 11908-11916 - [c35]Verna Dankers, Christopher G. Lucas, Ivan Titov:
Can Transformer be Too Compositional? Analysing Idiom Processing in Neural Machine Translation. ACL (1) 2022: 3608-3626 - [i8]Sigrid Passano Hellan, Christopher G. Lucas, Nigel H. Goddard:
Bayesian Optimisation for Active Monitoring of Air Pollution. CoRR abs/2202.07595 (2022) - [i7]Verna Dankers, Christopher G. Lucas, Ivan Titov:
Can Transformer be Too Compositional? Analysing Idiom Processing in Neural Machine Translation. CoRR abs/2205.15301 (2022) - [i6]Balint Gyevnar, Massimiliano Tamborski, Cheng Wang
, Christopher G. Lucas, Shay B. Cohen, Stefano V. Albrecht:
A Human-Centric Method for Generating Causal Explanations in Natural Language for Autonomous Vehicle Motion Planning. CoRR abs/2206.08783 (2022) - [i5]Chentian Jiang, Christopher G. Lucas:
Actively learning to learn causal relationships. CoRR abs/2206.09777 (2022) - 2021
- [j4]Karol Stanski, Isla H. Myers-Smith, Christopher G. Lucas:
Flower Detection Using Object Analysis: New Ways to Quantify Plant Phenology in a Warming Tundra Biome. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 9287-9296 (2021) - [i4]Simon Valentin, Steven Kleinegesse, Neil R. Bramley, Michael U. Gutmann, Christopher G. Lucas:
Bayesian Optimal Experimental Design for Simulator Models of Cognition. CoRR abs/2110.15632 (2021) - [i3]Bonan Zhao, Christopher G. Lucas, Neil R. Bramley:
Building Object-based Causal Programs for Human-like Generalization. CoRR abs/2111.12560 (2021) - 2020
- [c34]Rebekah Gelpi, Ben Prystawski, Christopher Lucas, Daphna Buchsbaum:
Incremental Hypothesis Revision in Causal Reasoning Across Development. CogSci 2020 - [c33]Pablo León-Villagrá, Isaac Ehrlich, Chris Lucas, Daphna Buchsbaum:
Exploring Category Structure in Children and Adults. CogSci 2020 - [c32]Pablo León-Villagrá, Kay Otsubo, Chris Lucas, Daphna Buchsbaum:
Uncovering Category Representations with Linked MCMC with People. CogSci 2020 - [c31]Simon Valentin, Neil Bramley, Christopher Lucas:
Learning Hidden Causal Structure from Temporal Data. CogSci 2020 - [i2]Sigrid Passano Hellan, Christopher G. Lucas, Nigel H. Goddard:
Optimising Placement of Pollution Sensors in Windy Environments. CoRR abs/2012.10770 (2020)
2010 – 2019
- 2019
- [c30]Arabella J. Sinclair, Rafael Ferreira, Dragan Gasevic, Christopher G. Lucas, Adam Lopez:
I Wanna Talk Like You: Speaker Adaptation to Dialogue Style in L2 Practice Conversation. AIED (2) 2019: 257-262 - [c29]Nicolas Collignon, Chris Lucas:
Epistemic drive and memory manipulations in explore-exploit problems. CogSci 2019: 1540-1546 - [c28]Pablo León-Villagrá, Verena Klar, Adam Sanborn, Chris Lucas:
Exploring the Representation of Linear Functions. CogSci 2019: 2105-2111 - [c27]Pablo León-Villagrá, Chris Lucas:
Generalizing Functions in Sparse Domains. CogSci 2019: 2112-2118 - [c26]Brian Montambault, Chris Lucas:
Reward Function Complexity and Goals in Exploration-Exploitation Tasks. CogSci 2019: 2385-2391 - [c25]Matt Rounds, Chris Lucas, Frank Keller:
Inattentional Blindness in Visual Search. CogSci 2019: 2688-2694 - [c24]Arabella Sinclair, Kate McCurdy, Christopher G. Lucas, Adam Lopez, Dragan Gasevic:
Tutorbot Corpus: Evidence of Human-Agent Verbal Alignment in Second Language Learner Dialogues. EDM 2019 - 2018
- [c23]Alan Bundy, Kwabena Nuamah, Christopher Lucas:
Automated Reasoning in the Age of the Internet. AISC 2018: 3-18 - [c22]Pablo León-Villagrá, Irina Preda, Christopher Lucas:
Data Availability and Function Extrapolation. CogSci 2018 - [c21]Arabella Sinclair, Adam Lopez, Christopher G. Lucas, Dragan Gasevic:
Does Ability Affect Alignment in Second Language Tutorial Dialogue? SIGDIAL Conference 2018: 41-50 - 2017
- [c20]Abhirup Ghosh, Christopher Lucas, Rik Sarkar:
Finding Periodic Discrete Events in Noisy Streams. CIKM 2017: 627-636 - [c19]Erik Herbst, Christopher G. Lucas, Daphna Buchsbaum:
Investigating the Explore/Exploit Trade-off in Adult Causal Inferences. CogSci 2017 - [c18]Pablo León-Villagrá, Christopher Lucas:
Identifying Causal Direction in the Two-Variable Case. CogSci 2017 - 2016
- [c17]Erik Herbst, Christopher G. Lucas, Daphna Buchsbaum:
Investigating the Explore/Exploit Trade-off in Adult Causal Inferences. CogSci 2016 - [c16]Brian Montambault, Christopher Lucas, Joseph L. Austerweil:
The construction of function representations. CogSci 2016 - [c15]Kwabena Nuamah, Alan Bundy, Christopher Lucas:
Functional Inferences over Heterogeneous Data. RR 2016: 159-166 - 2015
- [c14]Tiffany Doan, Stephanie Denison, Christopher G. Lucas, Alison Gopnik:
Learning to reason about desires: An infant training study. CogSci 2015 - [c13]Christopher G. Lucas, Kenneth Holstein, Michael Pacer:
Inferring causal structure and hidden causes from event sequences. CogSci 2015 - [c12]Andrew Gordon Wilson, Christoph Dann, Christopher G. Lucas, Eric P. Xing:
The Human Kernel. NIPS 2015: 2854-2862 - [i1]Andrew Gordon Wilson, Christoph Dann, Christopher G. Lucas, Eric P. Xing:
The Human Kernel. CoRR abs/1510.07389 (2015) - 2014
- [c11]Christopher G. Lucas, Kenneth Holstein, Charles Kemp:
Discovering hidden causes using statistical evidence. CogSci 2014 - 2013
- [c10]Daphna Buchsbaum, Caren M. Walker, Alison Gopnik, Nick Chater, David Danks, Christopher G. Lucas, Charles Kemp, Eva Rafetseder, Josef Perner:
What if? Counterfactual reasoning, pretense, and the role of possible worlds. CogSci 2013 - 2012
- [j3]Bénédicte Bes, Steven A. Sloman, Christopher G. Lucas, Eric Raufaste:
Non-Bayesian Inference: Causal Structure Trumps Correlation. Cogn. Sci. 36(7): 1178-1203 (2012) - [c9]Christopher G. Lucas, Charles Kemp:
A unified theory of counterfactual reasoning. CogSci 2012 - [c8]Christopher G. Lucas, Douglas Sterling, Charles Kemp:
Superspace extrapolation reveals inductive biases in function learning. CogSci 2012 - [c7]Saiwing Yeung, Christopher G. Lucas, Thomas L. Griffiths:
Determining people's expectations about the form of causal relationships. CogSci 2012 - 2011
- [c6]Jane C. Hu, Christopher G. Lucas, Thomas L. Griffiths, Fei Xu:
Young Toddlers' Understanding of Graded Preferences. CogSci 2011 - [c5]Christopher G. Lucas, Charles Kemp, Thomas L. Griffiths:
From preferences to choices and back again: evidence for human inconsistency and its implications. CogSci 2011 - [c4]Anna Waisman, Christopher G. Lucas, Thomas L. Griffiths, Lucia Jacobs:
A Bayesian model of navigation in squirrels. CogSci 2011 - [c3]Alan Jern, Christopher G. Lucas, Charles Kemp:
Evaluating the inverse decision-making approach to preference learning. NIPS 2011: 2276-2284 - 2010
- [j2]Christopher G. Lucas, Thomas L. Griffiths:
Learning the Form of Causal Relationships Using Hierarchical Bayesian Models. Cogn. Sci. 34(1): 113-147 (2010) - [j1]Tamar Kushnir, Alison Gopnik, Christopher G. Lucas, Laura Schulz:
Inferring Hidden Causal Structure. Cogn. Sci. 34(1): 148-160 (2010)
2000 – 2009
- 2008
- [c2]Thomas L. Griffiths, Christopher G. Lucas, Joseph Jay Williams, Michael L. Kalish:
Modeling human function learning with Gaussian processes. NIPS 2008: 553-560 - [c1]Christopher G. Lucas, Thomas L. Griffiths, Fei Xu, Christine Fawcett:
A rational model of preference learning and choice prediction by children. NIPS 2008: 985-992
Coauthor Index
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last updated on 2024-04-19 21:50 CEST by the dblp team
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