Siyuan Guo

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 32

Top Topics

Reinforcement Learning

Causal Structure

Discriminative Models

Top Venues

Publications

Longsheng Wei, Siyuan Guo, Jiu Huang, Xuan Fan
LDDG: Long-distance dependent and dual-stream guided feature fusion network for co-saliency object detection. Displays 84 (2024)
Ishan Agrawal, Zhijing Jin, Ehsan Mokhtarian, Siyuan Guo, Yuen Chen, Mrinmaya Sachan, Bernhard Schölkopf
CausalCite: A Causal Formulation of Paper Citations. ACL (Findings) (2024)
Siyuan Guo, Aniket Didolkar, Nan Rosemary Ke, Anirudh Goyal, Ferenc Huszár, Bernhard Schölkopf
Learning Beyond Pattern Matching? Assaying Mathematical Understanding in LLMs. CoRR (2024)
Siyuan Guo, Jonas Bernhard Wildberger, Bernhard Schölkopf
Out-of-Variable Generalisation for Discriminative Models. ICLR (2024)
Limor Gultchin, Siyuan Guo, Alan Malek, Silvia Chiappa, Ricardo Silva
Pragmatic Fairness: Developing Policies with Outcome Disparity Control. CLeaR (2024)
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 (2024)
Siyuan Guo, Chi Zhang, Karthika Mohan, Ferenc Huszár, Bernhard Schölkopf
Do Finetti: On Causal Effects for Exchangeable Data. CoRR (2024)
Patrik Reizinger, Siyuan Guo, Ferenc Huszár, Bernhard Schölkopf, Wieland Brendel
Identifiable Exchangeable Mechanisms for Causal Structure and Representation Learning. CoRR (2024)
Siyuan Guo, Cheng Deng, Ying Wen, Hechang Chen, Yi Chang, Jun Wang
DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning. CoRR (2024)
Siyuan Guo, Lixin Zou, Hechang Chen, Bohao Qu, Haotian Chi, Philip S. Yu, Yi Chang
Sample Efficient Offline-to-Online Reinforcement Learning. IEEE Trans. Knowl. Data Eng. 36 (3) (2024)
Siyuan Guo, Jihong Guan, Shuigeng Zhou
Diffusing on Two Levels and Optimizing for Multiple Properties: A Novel Approach to Generating Molecules with Desirable Properties. CoRR (2023)
Jonas Bernhard Wildberger, Siyuan Guo, Arnab Bhattacharyya, Bernhard Schölkopf
On the Interventional Kullback-Leibler Divergence. CLeaR (2023)
Andrei Paleyes, Siyuan Guo, Bernhard Schölkopf, Neil D. Lawrence
Dataflow graphs as complete causal graphs. CAIN (2023)
Siyuan Guo, Yanchao Sun, Jifeng Hu, Sili Huang, Hechang Chen, Haiyin Piao, Lichao Sun, Yi Chang
A Simple Unified Uncertainty-Guided Framework for Offline-to-Online Reinforcement Learning. CoRR (2023)
Limor Gultchin, Siyuan Guo, Alan Malek, Silvia Chiappa, Ricardo Silva
Pragmatic Fairness: Developing Policies with Outcome Disparity Control. CoRR (2023)
Siyuan Guo, Viktor Tóth, Bernhard Schölkopf, Ferenc Huszar
Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data. NeurIPS (2023)
Sili Huang, Yanchao Sun, Jifeng Hu, Siyuan Guo, Hechang Chen, Yi Chang, Lichao Sun, Bo Yang
Learning Generalizable Agents via Saliency-guided Features Decorrelation. NeurIPS (2023)
Andrei Paleyes, Siyuan Guo, Bernhard Schölkopf, Neil D. Lawrence
Dataflow graphs as complete causal graphs. CoRR (2023)
Jifeng Hu, Yanchao Sun, Sili Huang, Siyuan Guo, Hechang Chen, Li Shen, Lichao Sun, Yi Chang, Dacheng Tao
Instructed Diffuser with Temporal Condition Guidance for Offline Reinforcement Learning. CoRR (2023)
Sili Huang, Yanchao Sun, Jifeng Hu, Siyuan Guo, Hechang Chen, Yi Chang, Lichao Sun, Bo Yang
Learning Generalizable Agents via Saliency-Guided Features Decorrelation. CoRR (2023)
Siyuan Guo, Jonas Wildberger, Bernhard Schölkopf
Out-of-Variable Generalization. CoRR (2023)
Guanyu Zong, Longsheng Wei, Siyuan Guo, Yongtao Wang
A cascaded refined rgb-d salient object detection network based on the attention mechanism. Appl. Intell. 53 (11) (2023)
Ishan Kumar, Zhijing Jin, Ehsan Mokhtarian, Siyuan Guo, Yuen Chen, Negar Kiyavash, Mrinmaya Sachan, Bernhard Schölkopf
CausalCite: A Causal Formulation of Paper Citations. CoRR (2023)
Jonas Wildberger, Siyuan Guo, Arnab Bhattacharyya, Bernhard Schölkopf
On the Interventional Kullback-Leibler Divergence. CoRR (2023)
Siyuan Guo, Viktor Tóth, Bernhard Schölkopf, Ferenc Huszár
Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data. CoRR (2022)
Siyuan Guo, Tianying Liu, Wengen Li, Jihong Guan, Shuigeng Zhou
Fusing Geometric and Scene Information for Cross-View Geo-Localization. CIKM (2022)
Siyuan Guo, Ying Wang, Hao Yuan, Zeyu Huang, Jianwei Chen, Xin Wang
TAERT: Triple-Attentional Explainable Recommendation with Temporal Convolutional Network. Inf. Sci. 567 (2021)
Siyuan Guo, Lixin Zou, Yiding Liu, Wenwen Ye, Suqi Cheng, Shuaiqiang Wang, Hechang Chen, Dawei Yin, Yi Chang
Enhanced Doubly Robust Learning for Debiasing Post-Click Conversion Rate Estimation. SIGIR (2021)
Siyuan Guo, Lixin Zou, Yiding Liu, Wenwen Ye, Suqi Cheng, Shuaiqiang Wang, Hechang Chen, Dawei Yin, Yi Chang
Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation. CoRR (2021)
Chenxi Huang, Guokai Zhang, Yiwen Lu, Yisha Lan, Sirui Chen, Siyuan Guo
Automatic segmentation of bioabsorbable vascular stents in Intravascular optical coherence images using weakly supervised attention network. Future Gener. Comput. Syst. 114 (2021)
Siyuan Guo, Soo Ling Lim, Peter J. Bentley
Teams Frightened of Failure Fail More: Modelling Reward Sensitivity in Teamwork. SSCI (2020)
Shoushou Zhang, Celestine Iwendi, Siyuan Guo
Analysis of frequency characteristic of surface permanent magnet synchronous machine. ICIT (2018)