Siyuan Guo

According to our database, Siyuan Guo authored at least 27 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Sample Efficient Offline-to-Online Reinforcement Learning.

Siyuan Guo, Lixin Zou, Hechang Chen, Bohao Qu, Haotian Chi, Philip S. Yu, Yi Chang

IEEE Trans. Knowl. Data Eng., March, 2024

LDDG: Long-distance dependent and dual-stream guided feature fusion network for co-saliency object detection.

Longsheng Wei, Siyuan Guo, Jiu Huang, Xuan Fan

Displays, 2024

Identifiable Exchangeable Mechanisms for Causal Structure and Representation Learning.

Patrik Reizinger, Siyuan Guo, Ferenc Huszár, Bernhard Schölkopf, Wieland Brendel

CoRR, 2024

Do Finetti: On Causal Effects for Exchangeable Data.

Siyuan Guo, Chi Zhang, Karthika Mohan, Ferenc Huszár, Bernhard Schölkopf

CoRR, 2024

Learning Beyond Pattern Matching? Assaying Mathematical Understanding in LLMs.

Siyuan Guo, Aniket Didolkar, Nan Rosemary Ke, Anirudh Goyal, Ferenc Huszár, Bernhard Schölkopf

CoRR, 2024

Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving.

Aniket Didolkar, Anirudh Goyal, Nan Rosemary Ke, Siyuan Guo, Michal Valko, Timothy P. Lillicrap, Danilo J. Rezende, Yoshua Bengio, Michael Mozer, Sanjeev Arora

CoRR, 2024

DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning.

Siyuan Guo, Cheng Deng, Ying Wen, Hechang Chen, Yi Chang, Jun Wang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Out-of-Variable Generalisation for Discriminative Models.

Siyuan Guo, Jonas Bernhard Wildberger, Bernhard Schölkopf

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Mongolian Pronunciation Data Enhancement Method Based on Separation Contrast Learning.

Siyuan Guo, Zhiqiang Ma, Jiaqi Sun, Yixiong Qin

Proceedings of the International Conference on Asian Language Processing, 2024

Pragmatic Fairness: Developing Policies with Outcome Disparity Control.

Limor Gultchin, Siyuan Guo, Alan Malek, Silvia Chiappa, Ricardo Silva

Proceedings of the Causal Learning and Reasoning, 2024

CausalCite: A Causal Formulation of Paper Citations.

Ishan Agrawal, Zhijing Jin, Ehsan Mokhtarian, Siyuan Guo, Yuen Chen, Mrinmaya Sachan, Bernhard Schölkopf

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

A cascaded refined rgb-d salient object detection network based on the attention mechanism.

Guanyu Zong, Longsheng Wei, Siyuan Guo, Yongtao Wang

Appl. Intell., June, 2023

CausalCite: A Causal Formulation of Paper Citations.

Ishan Kumar, Zhijing Jin, Ehsan Mokhtarian, Siyuan Guo, Yuen Chen, Negar Kiyavash, Mrinmaya Sachan, Bernhard Schölkopf

CoRR, 2023

Diffusing on Two Levels and Optimizing for Multiple Properties: A Novel Approach to Generating Molecules with Desirable Properties.

Siyuan Guo, Jihong Guan, Shuigeng Zhou

CoRR, 2023

A Simple Unified Uncertainty-Guided Framework for Offline-to-Online Reinforcement Learning.

Siyuan Guo, Yanchao Sun, Jifeng Hu, Sili Huang, Hechang Chen, Haiyin Piao, Lichao Sun, Yi Chang

CoRR, 2023

Instructed Diffuser with Temporal Condition Guidance for Offline Reinforcement Learning.

Jifeng Hu, Yanchao Sun, Sili Huang, Siyuan Guo, Hechang Chen, Li Shen, Lichao Sun, Yi Chang, Dacheng Tao

CoRR, 2023

Out-of-Variable Generalization.

Siyuan Guo, Jonas Wildberger, Bernhard Schölkopf

CoRR, 2023

Learning Generalizable Agents via Saliency-guided Features Decorrelation.

Sili Huang, Yanchao Sun, Jifeng Hu, Siyuan Guo, Hechang Chen, Yi Chang, Lichao Sun, Bo Yang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data.

Siyuan Guo, Viktor Tóth, Bernhard Schölkopf, Ferenc Huszar

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

On the Interventional Kullback-Leibler Divergence.

Jonas Bernhard Wildberger, Siyuan Guo, Arnab Bhattacharyya, Bernhard Schölkopf

Proceedings of the Conference on Causal Learning and Reasoning, 2023

Dataflow graphs as complete causal graphs.

Andrei Paleyes, Siyuan Guo, Bernhard Schölkopf, Neil D. Lawrence

Proceedings of the 2nd IEEE/ACM International Conference on AI Engineering, 2023

2022

Fusing Geometric and Scene Information for Cross-View Geo-Localization.

Siyuan Guo, Tianying Liu, Wengen Li, Jihong Guan, Shuigeng Zhou

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

TAERT: Triple-Attentional Explainable Recommendation with Temporal Convolutional Network.

Siyuan Guo, Ying Wang, Hao Yuan, Zeyu Huang, Jianwei Chen, Xin Wang

Inf. Sci., 2021

Automatic segmentation of bioabsorbable vascular stents in Intravascular optical coherence images using weakly supervised attention network.

Chenxi Huang, Guokai Zhang, Yiwen Lu, Yisha Lan, Sirui Chen, Siyuan Guo

Future Gener. Comput. Syst., 2021

Enhanced Doubly Robust Learning for Debiasing Post-Click Conversion Rate Estimation.

Siyuan Guo, Lixin Zou, Yiding Liu, Wenwen Ye, Suqi Cheng, Shuaiqiang Wang, Hechang Chen, Dawei Yin, Yi Chang

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

2020

Teams Frightened of Failure Fail More: Modelling Reward Sensitivity in Teamwork.

Siyuan Guo, Soo Ling Lim, Peter J. Bentley

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

2018

Analysis of frequency characteristic of surface permanent magnet synchronous machine.

Shoushou Zhang, Celestine Iwendi, Siyuan Guo

Proceedings of the IEEE International Conference on Industrial Technology, 2018