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ORCIDSiyuan Guo 0003
Person information
- affiliation: Max Planck Institute for Intelligent Systems, Germany
- affiliation: University of Cambridge, UK
Other persons with the same name
- Siyuan Guo — disambiguation page
- Siyuan Guo 0001
![[0000-0002-9304-5405]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-9304-5405")
— Jilin University, School of Artificial Intelligence, Changchun, China - Siyuan Guo 0002 — Tongji University, Department of Computer Science and Technology, Shanghai, China
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2020 – today
- 2026
[c13]Michelle Chao Chen, Moritz Miller, Bernhard Schölkopf, Siyuan Guo:
On the Emergence and Test-Time Use of Structural Information in Large Language Models. ACL (1) 2026: 1449-1465- [i16]Michelle Chao Chen, Moritz Miller, Bernhard Schölkopf, Siyuan Guo:
On the Emergence and Test-Time Use of Structural Information in Large Language Models. CoRR abs/2601.17869 (2026) - [i15]Léo Grinsztajn, Klemens Flöge, Oscar Key, Felix Birkel, Philipp Jund, Brendan Roof, Mihir Manium, Shi Bin Hoo, Magnus Bühler, Anurag Garg, Dominik Safaric, Jake Robertson, Benjamin Jäger, Simone Alessi, Adrian Hayler, Vladyslav Moroshan, Lennart Purucker, Philipp Singer, Alan Arazi, Julien Siems, Jan Hendrik Metzen, Georg Grab, Nick Erickson, Siyuan Guo, Eliott Kalfon, Simon Bing, David Salinas, Clara Cornu, Lilly Charlotte Wehrhahn, Diana Kriuchkova, Kursat Kaya, Lydia Sidhoum, Marie Salmon, Jerry Chen, Madelon Hulsebos, Yann LeCun, Samuel Müller, Bernhard Schölkopf, Sauraj Gambhir, Noah Hollmann, Frank Hutter:
TabPFN-3: Technical Report. CoRR abs/2605.13986 (2026) - 2025
- [c12]Patrik Reizinger, Siyuan Guo, Ferenc Huszár, Bernhard Schölkopf, Wieland Brendel:
Identifiable Exchangeable Mechanisms for Causal Structure and Representation Learning. ICLR 2025 - [c11]Moritz Miller, Bernhard Schölkopf, Siyuan Guo:
Counterfactual reasoning: an analysis of in-context emergence. NeurIPS 2025 - [c10]Jake Robertson, Arik Reuter, Siyuan Guo, Noah Hollmann, Frank Hutter, Bernhard Schölkopf:
Do-PFN: In-Context Learning for Causal Effect Estimation. NeurIPS 2025 - [i14]Moritz Miller, Bernhard Schölkopf, Siyuan Guo:
Counterfactual reasoning: an analysis of in-context emergence. CoRR abs/2506.05188 (2025) - [i13]Jake Robertson, Arik Reuter, Siyuan Guo, Noah Hollmann, Frank Hutter, Bernhard Schölkopf:
Do-PFN: In-Context Learning for Causal Effect Estimation. CoRR abs/2506.06039 (2025) - [i12]Patrik Reizinger, Bálint Mucsányi, Siyuan Guo, Benjamin Eysenbach, Bernhard Schölkopf, Wieland Brendel:
Skill Learning via Policy Diversity Yields Identifiable Representations for Reinforcement Learning. CoRR abs/2507.14748 (2025) - [i11]Siyuan Guo, Bernhard Schölkopf:
Physics of Learning: A Lagrangian perspective to different learning paradigms. CoRR abs/2509.21049 (2025) - 2024
- [c9]Ishan Kumar, Zhijing Jin, Ehsan Mokhtarian, Siyuan Guo, Yuen Chen, Negar Kiyavash, Mrinmaya Sachan, Bernhard Schölkopf:
CausalCite: A Causal Formulation of Paper Citations. ACL (Findings) 2024: 8395-8410 - [c8]Limor Gultchin, Siyuan Guo, Alan Malek, Silvia Chiappa, Ricardo Silva:
Pragmatic Fairness: Developing Policies with Outcome Disparity Control. CLeaR 2024: 243-264 - [c7]Siyuan Guo, Jonas Bernhard Wildberger, Bernhard Schölkopf:
Out-of-Variable Generalisation for Discriminative Models. ICLR 2024 - [c6]Aniket Didolkar, Anirudh Goyal, Nan Rosemary Ke, Siyuan Guo, Michal Valko, Timothy P. Lillicrap, Danilo Jimenez Rezende, Yoshua Bengio, Michael C. Mozer, Sanjeev Arora:
Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving. NeurIPS 2024 - [c5]Siyuan Guo, Chi Zhang, Karthika Mohan, Ferenc Huszar, Bernhard Schölkopf:
Do Finetti: On Causal Effects for Exchangeable Data. NeurIPS 2024 - [i10]Aniket Didolkar, Anirudh Goyal, Nan Rosemary Ke, Siyuan Guo, Michal Valko, Timothy P. Lillicrap, Danilo J. Rezende, Yoshua Bengio, Michael Mozer, Sanjeev Arora:
Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving. CoRR abs/2405.12205 (2024) - [i9]Siyuan Guo, Aniket Didolkar, Nan Rosemary Ke, Anirudh Goyal, Ferenc Huszár, Bernhard Schölkopf:
Learning Beyond Pattern Matching? Assaying Mathematical Understanding in LLMs. CoRR abs/2405.15485 (2024) - [i8]Siyuan Guo, Chi Zhang, Karthika Mohan, Ferenc Huszár, Bernhard Schölkopf:
Do Finetti: On Causal Effects for Exchangeable Data. CoRR abs/2405.18836 (2024) - [i7]Patrik Reizinger, Siyuan Guo, Ferenc Huszár, Bernhard Schölkopf, Wieland Brendel:
Identifiable Exchangeable Mechanisms for Causal Structure and Representation Learning. CoRR abs/2406.14302 (2024) - 2023
- [c4]Andrei Paleyes, Siyuan Guo, Bernhard Schölkopf, Neil D. Lawrence:
Dataflow graphs as complete causal graphs. CAIN 2023: 7-12 - [c3]Jonas Bernhard Wildberger, Siyuan Guo, Arnab Bhattacharyya, Bernhard Schölkopf:
On the Interventional Kullback-Leibler Divergence. CLeaR 2023: 328-349 - [c2]Siyuan Guo, Viktor Tóth, Bernhard Schölkopf, Ferenc Huszar:
Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data. NeurIPS 2023 - [i6]Limor Gultchin, Siyuan Guo, Alan Malek, Silvia Chiappa, Ricardo Silva:
Pragmatic Fairness: Developing Policies with Outcome Disparity Control. CoRR abs/2301.12278 (2023) - [i5]Jonas Wildberger, Siyuan Guo, Arnab Bhattacharyya, Bernhard Schölkopf:
On the Interventional Kullback-Leibler Divergence. CoRR abs/2302.05380 (2023) - [i4]Andrei Paleyes, Siyuan Guo, Bernhard Schölkopf, Neil D. Lawrence:
Dataflow graphs as complete causal graphs. CoRR abs/2303.09552 (2023) - [i3]Siyuan Guo, Jonas Wildberger, Bernhard Schölkopf:
Out-of-Variable Generalization. CoRR abs/2304.07896 (2023) - [i2]Ishan Kumar, Zhijing Jin, Ehsan Mokhtarian, Siyuan Guo, Yuen Chen, Negar Kiyavash, Mrinmaya Sachan, Bernhard Schölkopf:
CausalCite: A Causal Formulation of Paper Citations. CoRR abs/2311.02790 (2023) - 2022
- [i1]Siyuan Guo, Viktor Tóth, Bernhard Schölkopf, Ferenc Huszár:
Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data. CoRR abs/2203.15756 (2022) - 2020
- [c1]Siyuan Guo, Soo Ling Lim, Peter J. Bentley:
Teams Frightened of Failure Fail More: Modelling Reward Sensitivity in Teamwork. SSCI 2020: 109-116
Coauthor Index
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