Faramarz Fekri
13 papers · 2020–2025 · 6 venues · across top CS/AI venues
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Achievements
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🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (33) 🌍 Conference Polyglot · Silver 🗃️ Keyword Collector (74)
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The Questioner
⚡
Prolific Year · Productive
💎
Century Club · Bronze
Top co-authors
Research topics
Artificial Intelligence
(10)
Core AI
(10)
Machine Learning
(9)
Knowledge & Reasoning
(6)
Deep Learning
(5)
Learning Types
(5)
Reasoning
(5)
Application Areas
(3)
Core Methods
(3)
Optimization & Theory · Machine Learning
(3)
Optimization & Theory · Deep Learning
(3)
Representation
(3)
Natural Language Processing
(2)
Learning Paradigms
(2)
Models
(2)
Keywords
temporal reasoning
(4)
large language model
(3)
knowledge graph
(3)
transfer learning
(3)
stochastic gradient
(2)
scene graph
(2)
logical reasoning
(2)
graph reasoning
(2)
inductive logic programming
(2)
gradient compression
(2)
distributed training
(2)
random walk
(2)
model compression
(2)
temporal knowledge graph
(2)
distributed learning
(1)
commonsense knowledge
(1)
chain-of-thought reasoning
(1)
question answering
(1)
variational inference
(1)
theorem proving
(1)
Papers
Deliberate Reasoning in Language Models as Structure-Aware Planning with an Accurate World Model
ACL 2025
Can LLMs Reason in the Wild with Programs?
EMNLP 2024
Harnessing the Power of Large Language Models for Natural Language to First-Order Logic Translation
ACL 2024
Large Language Models Can Learn Temporal Reasoning
ACL 2024
TEILP: Time Prediction over Knowledge Graphs via Logical Reasoning
AAAI 2024
Temporal Inductive Logic Reasoning over Hypergraphs
IJCAI 2024
Efficient Distributed Inference of Deep Neural Networks via Restructuring and Pruning
AAAI 2023
LogicDP: Creating Labels for Graph Data via Inductive Logic Programming
ICLR 2023
NODAGS-Flow: Nonlinear Cyclic Causal Structure Learning
AISTATS 2023
TILP: Differentiable Learning of Temporal Logical Rules on Knowledge Graphs
ICLR 2023
LOGICDEF: An Interpretable Defense Framework against Adversarial Examples via Inductive Scene Graph Reasoning
AAAI 2022
Indirect Stochastic Gradient Quantization and Its Application in Distributed Deep Learning
AAAI 2020
Quantized Compressive Sampling of Stochastic Gradients for Efficient Communication in Distributed Deep Learning
AAAI 2020