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2020 – today
- 2024
[c7]Ninell Oldenburg, Tan Zhi-Xuan:
Learning and Sustaining Shared Normative Systems via Bayesian Rule Induction in Markov Games. AAMAS 2024: 1510-1520- [c6]Tan Zhi-Xuan, Lance Ying, Vikash Mansinghka, Joshua B. Tenenbaum:
Pragmatic Instruction Following and Goal Assistance via Cooperative Language-Guided Inverse Planning. AAMAS 2024: 2094-2103 - [i15]Lance Ying, Tan Zhi-Xuan, Lionel Wong, Vikash Mansinghka, Joshua B. Tenenbaum:
Grounding Language about Belief in a Bayesian Theory-of-Mind. CoRR abs/2402.10416 (2024) - [i14]Ninell Oldenburg, Tan Zhi-Xuan:
Learning and Sustaining Shared Normative Systems via Bayesian Rule Induction in Markov Games. CoRR abs/2402.13399 (2024) - [i13]Tan Zhi-Xuan, Lance Ying, Vikash Mansinghka, Joshua B. Tenenbaum:
Pragmatic Instruction Following and Goal Assistance via Cooperative Language-Guided Inverse Planning. CoRR abs/2402.17930 (2024) - [i12]David Dalrymple, Joar Skalse, Yoshua Bengio, Stuart Russell, Max Tegmark, Sanjit Seshia, Steve Omohundro, Christian Szegedy, Ben Goldhaber, Nora Ammann, Alessandro Abate, Joe Halpern, Clark W. Barrett, Ding Zhao, Tan Zhi-Xuan, Jeannette Wing, Joshua B. Tenenbaum:
Towards Guaranteed Safe AI: A Framework for Ensuring Robust and Reliable AI Systems. CoRR abs/2405.06624 (2024) - [i11]Tan Zhi-Xuan, Gloria Kang, Vikash Mansinghka, Joshua B. Tenenbaum:
Infinite Ends from Finite Samples: Open-Ended Goal Inference as Top-Down Bayesian Filtering of Bottom-Up Proposals. CoRR abs/2407.16770 (2024) - [i10]Katherine M. Collins, Ilia Sucholutsky, Umang Bhatt, Kartik Chandra, Lionel Wong, Mina Lee, Cedegao E. Zhang, Tan Zhi-Xuan, Mark K. Ho, Vikash Mansinghka, Adrian Weller, Joshua B. Tenenbaum, Thomas L. Griffiths:
Building Machines that Learn and Think with People. CoRR abs/2408.03943 (2024) - [i9]Lance Ying, Tan Zhi-Xuan, Lionel Wong, Vikash Mansinghka, Joshua B. Tenenbaum:
Understanding Epistemic Language with a Bayesian Theory of Mind. CoRR abs/2408.12022 (2024) - [i8]Tan Zhi-Xuan, Micah Carroll, Matija Franklin, Hal Ashton:
Beyond Preferences in AI Alignment. CoRR abs/2408.16984 (2024) - 2023
- [c5]Alexander K. Lew, George Matheos, Tan Zhi-Xuan, Matin Ghavamizadeh, Nishad Gothoskar, Stuart Russell, Vikash K. Mansinghka:
SMCP3: Sequential Monte Carlo with Probabilistic Program Proposals. AISTATS 2023: 7061-7088 - [c4]Joseph Kwon, Tan Zhi-Xuan, Josh Tenenbaum, Sydney Levine:
When it's not out of line to get out of line: Principles of universalizability, welfare, and harm. CogSci 2023 - [c3]Tan Zhi-Xuan, Paul Stefan Lunis, Nathalie Fernandez Echeverri, Vikash Mansinghka, Josh Tenenbaum:
Language Models as Informative Goal Priors in a Bayesian Theory of Mind. CogSci 2023 - [i7]Alexander K. Lew, Tan Zhi-Xuan, Gabriel Grand, Vikash K. Mansinghka:
Sequential Monte Carlo Steering of Large Language Models using Probabilistic Programs. CoRR abs/2306.03081 (2023) - [i6]Lance Ying
, Katherine M. Collins, Megan Wei, Cedegao E. Zhang, Tan Zhi-Xuan, Adrian Weller, Joshua B. Tenenbaum, Lionel Wong:
The Neuro-Symbolic Inverse Planning Engine (NIPE): Modeling Probabilistic Social Inferences from Linguistic Inputs. CoRR abs/2306.14325 (2023) - [i5]Lance Ying, Tan Zhi-Xuan, Vikash Mansinghka, Joshua B. Tenenbaum:
Inferring the Goals of Communicating Agents from Actions and Instructions. CoRR abs/2306.16207 (2023) - 2022
- [i4]Tan Zhi-Xuan, Nishad Gothoskar, Falk Pollok, Dan Gutfreund, Joshua B. Tenenbaum, Vikash K. Mansinghka:
Solving the Baby Intuitions Benchmark with a Hierarchically Bayesian Theory of Mind. CoRR abs/2208.02914 (2022) - [i3]Tan Zhi-Xuan, Joshua B. Tenenbaum, Vikash K. Mansinghka:
Abstract Interpretation for Generalized Heuristic Search in Model-Based Planning. CoRR abs/2208.02938 (2022) - 2021
- [c2]Arwa Alanqary, Gloria Z. Lin, Joie Le, Tan Zhi-Xuan, Vikash Mansinghka, Josh Tenenbaum:
Modeling the Mistakes of Boundedly Rational Agents Within a Bayesian Theory of Mind. CogSci 2021 - [i2]Arwa Alanqary, Gloria Z. Lin, Joie Le, Tan Zhi-Xuan, Vikash K. Mansinghka, Joshua B. Tenenbaum:
Modeling the Mistakes of Boundedly Rational Agents Within a Bayesian Theory of Mind. CoRR abs/2106.13249 (2021) - 2020
- [c1]Tan Zhi-Xuan, Jordyn L. Mann, Tom Silver, Josh Tenenbaum, Vikash Mansinghka:
Online Bayesian Goal Inference for Boundedly Rational Planning Agents. NeurIPS 2020 - [i1]Tan Zhi-Xuan, Jordyn L. Mann, Tom Silver, Joshua B. Tenenbaum, Vikash K. Mansinghka:
Online Bayesian Goal Inference for Boundedly-Rational Planning Agents. CoRR abs/2006.07532 (2020)
Coauthor Index
aka: Vikash K. Mansinghka
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