Fekri, Faramarz

14 publications

NeurIPS 2025 Differentiable Cyclic Causal Discovery Under Unmeasured Confounders Muralikrishnna Guruswamy Sethuraman, Faramarz Fekri

ECML-PKDD 2025 Generalization of Compositional Tasks with Logical Specification via Implicit Planning Duo Xu, Faramarz Fekri

TMLR 2025 HDCS: Hierarchy Discovery and Critic Shaping for Reinforcement Learning with Automaton Specification Duo Xu, Faramarz Fekri

MLJ 2024 Generalization of Temporal Logic Tasks via Future Dependent Options Duo Xu, Faramarz Fekri

AAAI 2024 TEILP: Time Prediction over Knowledge Graphs via Logical Reasoning Siheng Xiong, Yuan Yang, Ali Payani, James Clayton Kerce, Faramarz Fekri

IJCAI 2024 Temporal Inductive Logic Reasoning over Hypergraphs Yuan Yang, Siheng Xiong, Ali Payani, James Clayton Kerce, Faramarz Fekri

AAAI 2023 Efficient Distributed Inference of Deep Neural Networks via Restructuring and Pruning Afshin Abdi, Saeed Rashidi, Faramarz Fekri, Tushar Krishna

ICLR 2023 LogicDP: Creating Labels for Graph Data via Inductive Logic Programming Yuan Yang, Faramarz Fekri, James Clayton Kerce, Ali Payani

AISTATS 2023 NODAGS-Flow: Nonlinear Cyclic Causal Structure Learning Muralikrishnna G Sethuraman, Romain Lopez, Rahul Mohan, Faramarz Fekri, Tommaso Biancalani, Jan-Christian Huetter

ICLR 2023 TILP: Differentiable Learning of Temporal Logical Rules on Knowledge Graphs Siheng Xiong, Yuan Yang, Faramarz Fekri, James Clayton Kerce

AAAI 2022 LOGICDEF: An Interpretable Defense Framework Against Adversarial Examples via Inductive Scene Graph Reasoning Yuan Yang, James Clayton Kerce, Faramarz Fekri

ICLR 2020 Deep Reinforcement Learning with Implicit Human Feedback Duo Xu, Mohit Agarwal, Raghupathy Sivakumar, Faramarz Fekri

AAAI 2020 Indirect Stochastic Gradient Quantization and Its Application in Distributed Deep Learning Afshin Abdi, Faramarz Fekri

AAAI 2020 Quantized Compressive Sampling of Stochastic Gradients for Efficient Communication in Distributed Deep Learning Afshin Abdi, Faramarz Fekri