Charles Kemp

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 37

Top Topics

Inductive Reasoning

Semantic Representations

Efficient Compression

Top Venues

Top. Cogn. Sci.

Publications

Simon Jerome Han, Keith J. Ransom, Andrew Perfors, Charles Kemp
Inductive reasoning in humans and large language models. Cogn. Syst. Res. 83 (2024)
Chenyuan Zhang, Charles Kemp, Nir Lipovetzky
Human Goal Recognition as Bayesian Inference: Investigating the Impact of Actions, Timing, and Goal Solvability. CoRR (2024)
Chenyuan Zhang, Charles Kemp, Nir Lipovetzky
Human Goal Recognition as Bayesian Inference: Investigating the Impact of Actions, Timing, and Goal Solvability. AAMAS (2024)
Zheng Wei Lim, Ekaterina Vylomova, Trevor Cohn, Charles Kemp
Simpson's Paradox and the Accuracy-Fluency Tradeoff in Translation. CoRR (2024)
Zheng Wei Lim, Harry Stuart, Simon De Deyne, Terry Regier, Ekaterina Vylomova, Trevor Cohn, Charles Kemp
A Computational Approach to Identifying Cultural Keywords Across Languages. Cogn. Sci. 48 (1) (2024)
Aotao Xu, Charles Kemp, Lea Frermann, Yang Xu
Predicting strategy choice in word formation: A case study of reuse and compounding. CogSci (2023)
Katie Warburton, Charles Kemp, Yang Xu, Lea Frermann
Quantifying Bias in Library Classification Systems. CogSci (2023)
Weilun Xu, Simon J. Cropper, Charles Kemp
A Bayesian account of two visual illusions involving lighthouse beams. CogSci (2023)
Chenyuan Zhang, Charles Kemp, Nir Lipovetzky
Goal Recognition with Timing Information. ICAPS (2023)
Zheng Wei Lim, Ekaterina Vylomova, Charles Kemp, Trevor Cohn
Predicting Human Translation Difficulty with Neural Machine Translation. CoRR (2023)
Saoirse Connor Desai, Charles Kemp, Brett K. Hayes
Censor Detection: Detecting and adjusting for sample bias. CogSci (2023)
Chenyuan Zhang, Nir Lipovetzky, Charles Kemp
Comparing AI Planning Algorithms with Humans on the Tower of London Task. CogSci (2023)
Simon J. Han, Keith Ransom, Andrew Perfors, Charles Kemp
Inductive reasoning in humans and large language models. CoRR (2023)
Bridget A. Kelly, Charles Kemp, Daniel R. Little, Duane Hamacher, Simon J. Cropper
Visual Perception Principles in Constellation Creation. Top. Cogn. Sci. 16 (1) (2023)
Bridget A. Kelly, Charles Kemp, Daniel R. Little, Duane Hamacher, Simon J. Cropper
Visual perception principles in constellation creation in individuals. CogSci (2023)
Zheng Wei Lim, Trevor Cohn, Charles Kemp, Ekaterina Vylomova
Predicting Human Translation Difficulty Using Automatic Word Alignment. ACL (Findings) (2023)
Eleonora Gualdoni, Charles Kemp, Yang Xu, Gemma Boleda
Quantifying informativeness of names in visual space. CogSci (2023)
Aotao Xu, Charles Kemp, Lea Frermann, Yang Xu
Word formation supports efficient communication: The case of compounds. CogSci (2022)
Simon Jerome Han, Keith James Ransom, Andrew Perfors, Charles Kemp
Human-like property induction is a challenge for large language models. CogSci (2022)
Aurélien Fermo, Charles Kemp
Temporal Continuity and the Judgment of Actual Causation. CogSci (2021)
Francis Mollica, Geoff Bacon, Yang Xu, Terry Regier, Charles Kemp
Grammatical marking and the tradeoff between code length and informativeness. CogSci (2020)
Joshua T. Abbott, Charles Kemp
Birds and Words: Exploring environmental influences on folk categorization. CogSci (2020)
Francis Mollica, Charles Kemp
An efficient communication analysis of morpho-syntactic grammatical features. CogSci (2020)
Noga Zaslavsky, Terry Regier, Naftali Tishby, Charles Kemp
Semantic categories of artifacts and animals reflect efficient coding. CogSci (2019)
Charles Kemp, Alice Gaby, Terry Regier
Season naming and the local environment. CogSci (2019)
Noga Zaslavsky, Karee Garvin, Charles Kemp, Naftali Tishby, Terry Regier
Evolution and efficiency in color naming: The case of Nafaanra. CogSci (2019)
Noga Zaslavsky, Charles Kemp, Naftali Tishby, Terry Regier
Communicative need and color naming. CogSci (2019)
Vanessa Ferdinand, Charles Kemp, Amy Perfors
The impact of frequency on the evolution of category systems. CogSci (2019)
Noga Zaslavsky, Terry Regier, Naftali Tishby, Charles Kemp
Semantic categories of artifacts and animals reflect efficient coding. CoRR (2019)
Noga Zaslavsky, Charles Kemp, Naftali Tishby, Terry Regier
Color Naming Reflects Both Perceptual Structure and Communicative Need. Top. Cogn. Sci. 11 (1) (2019)
Alan Jern, Anna Scott, Nathan Blank, Charles Kemp
Inferring other people's relationships by observing their social interactions. CogSci (2018)
Noga Zaslavsky, Charles Kemp, Terry Regier, Naftali Tishby
Efficient human-like semantic representations via the Information Bottleneck principle. CoRR (2018)
Noga Zaslavsky, Charles Kemp, Terry Regier, Naftali Tishby
Information-theoretic efficiency and semantic variation: The case of color naming. CogSci (2018)
Noga Zaslavsky, Charles Kemp, Naftali Tishby, Terry Regier
Color naming reflects both perceptual structure and communicative need. CoRR (2018)
Noga Zaslavsky, Charles Kemp, Naftali Tishby, Terry Regier
Color naming reflects both perceptual structure and communicative need. CogSci (2018)
Noga Zaslavsky, Charles Kemp, Terry Regier, Naftali Tishby
Efficient compression in color naming and its evolution. Proc. Natl. Acad. Sci. USA 115 (31) (2018)
Charles Kemp, Caleb Eddy
A toolbox of methods for probabilistic inference. CogSci (2017)
Yang Xu, Charles Kemp
A Computational Evaluation of Two Laws of Semantic Change. CogSci (2015)
Alexandra Carstensen, Yang Xu, Charles Kemp, Terry Regier
The space of spatial relations: An extended stimulus set. CogSci (2015)
Christopher G. Lucas, Kenneth Holstein, Charles Kemp
Discovering hidden causes using statistical evidence. CogSci (2014)
Alan Jern, Charles Kemp
Reasoning about social choices and social relationships. CogSci (2014)
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)
Christopher Carroll, Charles Kemp
Hypothesis space checking in intuitive reasoning. CogSci (2013)
Christopher Carroll, Charles Kemp
Object discovery and inverse physical reasoning. CogSci (2012)
Vikash K. Mansinghka, Charles Kemp, Thomas L. Griffiths, Joshua B. Tenenbaum
Structured Priors for Structure Learning. CoRR (2012)
Christopher G. Lucas, Douglas Sterling, Charles Kemp
Superspace extrapolation reveals inductive biases in function learning. CogSci (2012)
Ben Deverett, Charles Kemp
Learning Deterministic Causal Networks from Observational Data. CogSci (2012)
Christopher G. Lucas, Charles Kemp
A unified theory of counterfactual reasoning. CogSci (2012)
Alan Jern, Christopher G. Lucas, Charles Kemp
Evaluating the inverse decision-making approach to preference learning. NIPS (2011)
Alan Jern, Charles Kemp
Capturing mental state reasoning with influence diagrams. CogSci (2011)
Charles Kemp, Faye Han, Alan Jern
Concept Learning and Modal Reasoning. CogSci (2011)
Alan Jern, Charles Kemp
Decision factors that support preference learning. CogSci (2011)
Christopher G. Lucas, Charles Kemp, Thomas L. Griffiths
From preferences to choices and back again: evidence for human inconsistency and its implications. CogSci (2011)
Charles Kemp
Inductive reasoning about chimeric creatures. NIPS (2011)
Yang Xu, Charles Kemp
Inference and communication in the game of Password. NIPS (2010)
Charles Kemp, Noah D. Goodman, Joshua B. Tenenbaum
Learning to Learn Causal Models. Cogn. Sci. 34 (7) (2010)
Charles Kemp, Alan Jern
Abstraction and Relational learning. NIPS (2009)
Charles Kemp
Quantification and the language of thought. NIPS (2009)
Alan Jern, Kai-min Chang, Charles Kemp
Bayesian Belief Polarization. NIPS (2009)
Charles Kemp, Alan Jern, Fei Xu
Individuation, Identification and Object Discovery. NIPS (2009)
Charles Kemp, Joshua B. Tenenbaum
The discovery of structural form. Proc. Natl. Acad. Sci. USA 105 (31) (2008)
Charles Kemp, Fei Xu
An ideal observer model of infant object perception. NIPS (2008)
Charles Kemp, Noah D. Goodman, Joshua B. Tenenbaum
Learning and using relational theories. NIPS (2007)
Charles Kemp, Joshua B. Tenenbaum, Thomas L. Griffiths, Takeshi Yamada, Naonori Ueda
Learning Systems of Concepts with an Infinite Relational Model. AAAI (2006)
Vikash K. Mansinghka, Charles Kemp, Thomas L. Griffiths, Joshua B. Tenenbaum
Structured Priors for Structure Learning. UAI (2006)
Daniel M. Roy, Charles Kemp, Vikash K. Mansinghka, Joshua B. Tenenbaum
Learning annotated hierarchies from relational data. NIPS (2006)
Charles Kemp, Patrick Shafto, Allison Berke, Joshua B. Tenenbaum
Combining causal and similarity-based reasoning. NIPS (2006)
Charles Kemp, Thomas L. Griffiths, Sean Stromsten, Joshua B. Tenenbaum
Semi-Supervised Learning with Trees. NIPS (2003)
Charles Kemp, Kotagiri Ramamohanarao
Long-Term Learning for Web Search Engines. PKDD (2002)