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Max Kleiman-Weiner
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2020 – today
- 2024
- [j5]Frieda Rong, Max Kleiman-Weiner:
Value Internalization: Learning and Generalizing from Social Reward. RLJ 3: 1060-1071 (2024) - [j4]Edmond Awad, Sydney Levine, Andrea Loreggia, Nicholas Mattei, Iyad Rahwan, Francesca Rossi, Kartik Talamadupula, Joshua B. Tenenbaum, Max Kleiman-Weiner:
When is it acceptable to break the rules? Knowledge representation of moral judgements based on empirical data. Auton. Agents Multi Agent Syst. 38(2): 35 (2024) - [j3]Marta Kryven, Suhyoun Yu, Max Kleiman-Weiner, Tomer D. Ullman, Joshua B. Tenenbaum:
Approximate planning in spatial search. PLoS Comput. Biol. 20(11): 1012582 (2024) - [i16]Giorgio Piatti, Zhijing Jin, Max Kleiman-Weiner, Bernhard Schölkopf, Mrinmaya Sachan, Rada Mihalcea:
Cooperate or Collapse: Emergence of Sustainability Behaviors in a Society of LLM Agents. CoRR abs/2404.16698 (2024) - [i15]Zhijing Jin, Sydney Levine, Max Kleiman-Weiner, Giorgio Piatti, Jiarui Liu, Fernando Gonzalez Adauto, Francesco Ortu, András Strausz, Mrinmaya Sachan, Rada Mihalcea, Yejin Choi, Bernhard Schölkopf:
Multilingual Trolley Problems for Language Models. CoRR abs/2407.02273 (2024) - [i14]Frieda Rong, Max Kleiman-Weiner:
Value Internalization: Learning and Generalizing from Social Reward. CoRR abs/2407.14681 (2024) - [i13]Jing-Jing Li, Valentina Pyatkin, Max Kleiman-Weiner, Liwei Jiang, Nouha Dziri, Anne G. E. Collins, Jana Schaich Borg, Maarten Sap, Yejin Choi, Sydney Levine:
SafetyAnalyst: Interpretable, transparent, and steerable LLM safety moderation. CoRR abs/2410.16665 (2024) - 2023
- [j2]Christopher Graziul, Alexander Belikov, Ishanu Chattopadhyay, Ziwen Chen, Hongbo Fang, Anuraag Girdhar, Xiaoshuang Jia, P. M. Krafft, Max Kleiman-Weiner, Candice Lewis, Chen Liang, John Muchovej, Alejandro Vientós, Meg Young, James A. Evans:
Does big data serve policy? Not without context. An experiment with in silico social science. Comput. Math. Organ. Theory 29(1): 188-219 (2023) - [c33]Mingwei Ma, Jizhou Liu, Samuel Sokota, Max Kleiman-Weiner, Jakob Nicolaus Foerster:
Learning Intuitive Policies Using Action Features. ICML 2023: 23358-23372 - [c32]Zhijing Jin, Yuen Chen, Felix Leeb, Luigi Gresele, Ojasv Kamal, Zhiheng Lyu, Kevin Blin, Fernando Gonzalez Adauto, Max Kleiman-Weiner, Mrinmaya Sachan, Bernhard Schölkopf:
CLadder: A Benchmark to Assess Causal Reasoning Capabilities of Language Models. NeurIPS 2023 - [i12]Zhijing Jin, Yuen Chen, Felix Leeb, Luigi Gresele, Ojasv Kamal, Zhiheng Lyu, Kevin Blin, Fernando Gonzalez Adauto, Max Kleiman-Weiner, Mrinmaya Sachan, Bernhard Schölkopf:
CLadder: A Benchmark to Assess Causal Reasoning Capabilities of Language Models. CoRR abs/2312.04350 (2023) - 2022
- [c31]Stephanie Stacy, Aishni Parab, Max Kleiman-Weiner, Tao Gao:
Overloaded Communication as Paternalistic Helping. CogSci 2022 - [p1]Rose E. Wang, Sarah A. Wu, James A. Evans, David C. Parkes, Joshua B. Tenenbaum, Max Kleiman-Weiner:
Too Many cooks: Bayesian inference for coordinating Multi-agent Collaboration. Human-Like Machine Intelligence 2022: 152-170 - [i11]Edmond Awad, Sydney Levine, Andrea Loreggia, Nicholas Mattei, Iyad Rahwan, Francesca Rossi, Kartik Talamadupula, Joshua B. Tenenbaum, Max Kleiman-Weiner:
When Is It Acceptable to Break the Rules? Knowledge Representation of Moral Judgement Based on Empirical Data. CoRR abs/2201.07763 (2022) - [i10]Mingwei Ma, Jizhou Liu, Samuel Sokota, Max Kleiman-Weiner, Jakob N. Foerster:
Learning to Coordinate with Humans using Action Features. CoRR abs/2201.12658 (2022) - 2021
- [j1]Sarah A. Wu, Rose E. Wang, James A. Evans, Joshua B. Tenenbaum, David C. Parkes, Max Kleiman-Weiner:
Too Many Cooks: Bayesian Inference for Coordinating Multi-Agent Collaboration. Top. Cogn. Sci. 13(2): 414-432 (2021) - [c30]Stephanie Stacy, Chenfei Li, Minglu Zhao, Yiling Yun, Qingyi Zhao, Max Kleiman-Weiner, Tao Gao:
Modeling Communication to Coordinate Perspectives in Cooperation. CogSci 2021 - [c29]Suhyoun Yu, Marta Kryven, Josh Tenenbaum, Max Kleiman-Weiner:
Unpacking the computations of human spatial search under uncertainty: noisy utility maximization, discounting, and probability warping. CogSci 2021 - [i9]Stephanie Stacy, Chenfei Li, Minglu Zhao, Yiling Yun, Qingyi Zhao, Max Kleiman-Weiner, Tao Gao:
Modeling Communication to Coordinate Perspectives in Cooperation. CoRR abs/2106.02164 (2021) - 2020
- [c28]Rose E. Wang, Sarah A. Wu, James A. Evans, Joshua B. Tenenbaum, David C. Parkes, Max Kleiman-Weiner:
Too Many Cooks: Coordinating Multi-agent Collaboration Through Inverse Planning. AAMAS 2020: 2032-2034 - [c27]Max Kleiman-Weiner, Felix Sosa, Bill Thompson, Sebastiaan van Opheusden, Tom Griffiths, Samuel Gershman, Fiery Cushman:
Downloading Culture.zip: Social learning by program induction. CogSci 2020 - [c26]Anirban Lahiri, Utanko Mitra, Sunreeta Sen, Mreenal Chakraborty, Max Kleiman-Weiner, Rajlakshmi Guha, Pabitra Mitra, Anupam Basu, Partha Pratim Chakraborty:
Antarjami: Exploring psychometric evaluation through a computer-based game. CogSci 2020 - [c25]Stephanie Stacy, Qingyi Zhao, Minglu Zhao, Max Kleiman-Weiner, Tao Gao:
Intuitive Signaling Through an "Imagined We'". CogSci 2020 - [c24]Sarah A. Wu, Rose E. Wang, James A. Evans, Josh Tenenbaum, David C. Parkes, Max Kleiman-Weiner:
Too many cooks: Coordinating multi-agent collaboration through inverse planning. CogSci 2020 - [i8]Rose E. Wang, Sarah A. Wu, James A. Evans, Joshua B. Tenenbaum, David C. Parkes, Max Kleiman-Weiner:
Too many cooks: Coordinating multi-agent collaboration through inverse planning. CoRR abs/2003.11778 (2020) - [i7]Anirban Lahiri, Utanko Mitra, Sunreeta Sen, Mreenal Chakraborty, Max Kleiman-Weiner, Rajlakshmi Guha, Pabitra Mitra, Anupam Basu, Partha Pratim Chakraborty:
Antarjami: Exploring psychometric evaluation through a computer-based game. CoRR abs/2007.10089 (2020)
2010 – 2019
- 2019
- [c23]Michael Shum, Max Kleiman-Weiner, Michael L. Littman, Joshua B. Tenenbaum:
Theory of Minds: Understanding Behavior in Groups through Inverse Planning. AAAI 2019: 6163-6170 - [c22]Sydney Levine, Max Kleiman-Weiner, Laura Schulz, Josh Tenenbaum, Fiery Cushman:
What if everybody did that?: Universalization as a mechanism of moral decision-making. CogSci 2019: 2125 - [c21]Sean Dae Houlihan, Max Kleiman-Weiner, Josh Tenenbaum, Rebecca Saxe:
Emotion attributions echo the structure of people's intuitive theory of psychology. CogSci 2019: 3477 - [c20]Max Kleiman-Weiner, Felix Sosa, Samuel Gershman, Fiery Cushman:
Downloading Culture.zip: Social learning by program induction with execution traces. CogSci 2019: 3495 - [c19]Jack Serrino, Max Kleiman-Weiner, David C. Parkes, Josh Tenenbaum:
Finding Friend and Foe in Multi-Agent Games. NeurIPS 2019: 1249-1259 - [i6]Michael Shum, Max Kleiman-Weiner, Michael L. Littman, Joshua B. Tenenbaum:
Theory of Minds: Understanding Behavior in Groups Through Inverse Planning. CoRR abs/1901.06085 (2019) - [i5]Jack Serrino, Max Kleiman-Weiner, David C. Parkes, Joshua B. Tenenbaum:
Finding Friend and Foe in Multi-Agent Games. CoRR abs/1906.02330 (2019) - 2018
- [c18]Joseph Y. Halpern, Max Kleiman-Weiner:
Towards Formal Definitions of Blameworthiness, Intention, and Moral Responsibility. AAAI 2018: 1853-1860 - [c17]Richard Kim, Max Kleiman-Weiner, Andrés Abeliuk, Edmond Awad, Sohan Dsouza, Joshua B. Tenenbaum, Iyad Rahwan:
A Computational Model of Commonsense Moral Decision Making. AIES 2018: 197-203 - [c16]Sean Dae Houlihan, Max Kleiman-Weiner, Josh Tenenbaum, Rebecca Saxe:
A generative model of people's intuitive theory of emotions: inverse planning in rich social games. CogSci 2018 - [c15]Richard Kim, Niccolo Pescetelli, Max Kleiman-Weiner, Edmond Awad, Sohan Dsouza, Josh Tenenbaum, Iyad Rahwan:
Hierarchical Drift-Diffusion Model for Moral Dilemma: Understanding Reaction Times and Choices. CogSci 2018 - [c14]Max Kleiman-Weiner, Alejandro Vientós, David Rand, Josh Tenenbaum:
The Evolution of Cooperation in Cognitively Flexible Agents. CogSci 2018 - [c13]Sydney Levine, Max Kleiman-Weiner, Nicholas Chater, Fiery Cushman, Josh Tenenbaum:
The Cognitive Mechanisms of Contractualist Moral Decision-Making. CogSci 2018 - [c12]Daniel Strouse, Max Kleiman-Weiner, Josh Tenenbaum, Matthew M. Botvinick, David J. Schwab:
Learning to Share and Hide Intentions using Information Regularization. NeurIPS 2018: 10270-10281 - [i4]Richard Kim, Max Kleiman-Weiner, Andrés Abeliuk, Edmond Awad, Sohan Dsouza, Josh Tenenbaum, Iyad Rahwan:
A Computational Model of Commonsense Moral Decision Making. CoRR abs/1801.04346 (2018) - [i3]Edmond Awad, Sydney Levine, Max Kleiman-Weiner, Sohan Dsouza, Joshua B. Tenenbaum, Azim Shariff, Jean-François Bonnefon, Iyad Rahwan:
Blaming humans in autonomous vehicle accidents: Shared responsibility across levels of automation. CoRR abs/1803.07170 (2018) - [i2]DJ Strouse, Max Kleiman-Weiner, Josh Tenenbaum, Matthew M. Botvinick, David J. Schwab:
Learning to Share and Hide Intentions using Information Regularization. CoRR abs/1808.02093 (2018) - [i1]Joseph Y. Halpern, Max Kleiman-Weiner:
Towards Formal Definitions of Blameworthiness, Intention, and Moral Responsibility. CoRR abs/1810.05903 (2018) - 2017
- [c11]Max Kleiman-Weiner, Alex Shaw, Josh Tenenbaum:
Constructing Social Preferences From Anticipated Judgments: When Impartial Inequity is Fair and Why? CogSci 2017 - [c10]Max Kleiman-Weiner, Yibiao Zhao, Josh Tenenbaum:
Cooperative Social Intelligence: Understanding and Acting with Other. CogSci 2017 - [c9]Julia A. Leonard, Max Kleiman-Weiner, Yuna Lee, Josh Tenenbaum, Laura Schulz:
Preschoolers and Infants Calibrate Persistence from Adult Models. CogSci 2017 - 2016
- [c8]Mark K. Ho, James MacGlashan, Amy Greenwald, Michael L. Littman, Elizabeth Hilliard, Carl Trimbach, Stephen Brawner, Josh Tenenbaum, Max Kleiman-Weiner, Joseph L. Austerweil:
Feature-based Joint Planning and Norm Learning in Collaborative Games. CogSci 2016 - [c7]Max Kleiman-Weiner, Mark K. Ho, Joseph L. Austerweil, Michael L. Littman, Josh Tenenbaum:
Coordinate to cooperate or compete: Abstract goals and joint intentions in social interaction. CogSci 2016 - 2015
- [c6]Kelsey R. Allen, Julian Jara-Ettinger, Tobias Gerstenberg, Max Kleiman-Weiner, Joshua B. Tenenbaum:
Go fishing! Responsibility judgments when cooperation breaks down. CogSci 2015 - [c5]Max Kleiman-Weiner, Tobias Gerstenberg, Sydney Levine, Joshua B. Tenenbaum:
Inference of Intention and Permissibility in Moral Decision Making. CogSci 2015 - 2014
- [c4]Tobias Gerstenberg, Tomer D. Ullman, Max Kleiman-Weiner, David A. Lagnado, Joshua B. Tenenbaum:
Wins above replacement: Responsibility attributions as counterfactual replacements. CogSci 2014 - [c3]John R. Frank, Max Kleiman-Weiner, Daniel A. Roberts, Ellen M. Voorhees, Ian Soboroff:
Evaluating Stream Filtering for Entity Profile Updates in TREC 2012, 2013, and 2014. TREC 2014 - 2013
- [c2]John R. Frank, Steven J. Bauer, Max Kleiman-Weiner, Daniel A. Roberts, Nilesh Tripuraneni, Ce Zhang, Christopher Ré, Ellen M. Voorhees, Ian Soboroff:
Evaluating Stream Filtering for Entity Profile Updates for TREC 2013. TREC 2013 - 2012
- [c1]John R. Frank, Max Kleiman-Weiner, Daniel A. Roberts, Feng Niu, Ce Zhang, Christopher Ré, Ian Soboroff:
Building an Entity-Centric Stream Filtering Test Collection for TREC 2012. TREC 2012
Coauthor Index
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last updated on 2024-12-02 22:32 CET by the dblp team
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