Zhe Zeng - RankMe

21 papers A* 8A 2Journal 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Deep Generative Models with Hard Linear Equality Constraints. CoRR Ruoyan Li, Dipti Ranjan Sahu, Guy Van den Broeck, Zhe Zeng
2024	—	`—`	Neurosymbolic Learning and Reasoning for Trustworthy AI Zhe Zeng
2024	A*	`conf`	Probabilistically Rewired Message-Passing Neural Networks. ICLR Chendi Qian, Andrei Manolache, Kareem Ahmed, Zhe Zeng, Guy Van den Broeck, Mathias Niepert, Christopher Morris
2023	A*	`conf`	A Unified Approach to Count-Based Weakly Supervised Learning. NeurIPS Vinay Shukla, Zhe Zeng, Kareem Ahmed, Guy Van den Broeck
2023	J	`jnl`	A Unified Approach to Count-Based Weakly-Supervised Learning. CoRR Vinay Shukla, Zhe Zeng, Kareem Ahmed, Guy Van den Broeck
2023	A*	`conf`	A Unified Knowledge Distillation Framework for Deep Directed Graphical Models. CVPR Yizhuo Chen, Kaizhao Liang, Zhe Zeng, Shuochao Yao, Huajie Shao
2023	A*	`conf`	Collapsed Inference for Bayesian Deep Learning. NeurIPS Zhe Zeng, Guy Van den Broeck
2023	J	`jnl`	Collapsed Inference for Bayesian Deep Learning. CoRR Zhe Zeng, Guy Van den Broeck
2023	J	`jnl`	Probabilistically Rewired Message-Passing Neural Networks. CoRR Chendi Qian, Andrei Manolache, Kareem Ahmed, Zhe Zeng, Guy Van den Broeck, Mathias Niepert, Christopher Morris
2023	A*	`conf`	SIMPLE: A Gradient Estimator for k-Subset Sampling. ICLR Kareem Ahmed, Zhe Zeng, Mathias Niepert, Guy Van den Broeck
2022	J	`jnl`	SIMPLE: A Gradient Estimator for k-Subset Sampling. CoRR Kareem Ahmed, Zhe Zeng, Mathias Niepert, Guy Van den Broeck
2021	J	`jnl`	Tractable Computation of Expected Kernels by Circuits. CoRR Wenzhe Li, Zhe Zeng, Antonio Vergari, Guy Van den Broeck
2021	A	`conf`	Tractable computation of expected kernels. UAI Wenzhe Li, Zhe Zeng, Antonio Vergari, Guy Van den Broeck
2020	A*	`conf`	Probabilistic Inference with Algebraic Constraints: Theoretical Limits and Practical Approximations. NeurIPS Zhe Zeng, Paolo Morettin, Fanqi Yan, Antonio Vergari, Guy Van den Broeck
2020	A*	`conf`	Scaling up Hybrid Probabilistic Inference with Logical and Arithmetic Constraints via Message Passing. ICML Zhe Zeng, Paolo Morettin, Fanqi Yan, Antonio Vergari, Guy Van den Broeck
2020	J	`jnl`	Scaling up Hybrid Probabilistic Inference with Logical and Arithmetic Constraints via Message Passing. CoRR Zhe Zeng, Paolo Morettin, Fanqi Yan, Antonio Vergari, Guy Van den Broeck
2019	A	`conf`	Efficient Search-Based Weighted Model Integration. UAI Zhe Zeng, Guy Van den Broeck
2019	J	`jnl`	Efficient Search-Based Weighted Model Integration. CoRR Zhe Zeng, Guy Van den Broeck
2019	J	`jnl`	Hybrid Probabilistic Inference with Logical Constraints: Tractability and Message Passing. CoRR Zhe Zeng, Fanqi Yan, Paolo Morettin, Antonio Vergari, Guy Van den Broeck
2018	A*	`conf`	Stein Variational Message Passing for Continuous Graphical Models. ICML Dilin Wang, Zhe Zeng, Qiang Liu
2017	J	`jnl`	Structured Stein Variational Inference for Continuous Graphical Models. CoRR Dilin Wang, Zhe Zeng, Qiang Liu