default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDTan Zhi-Xuan
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 21:15 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
