Faramarz Fekri
Professor
Researches machine learning and reasoning, including neuro-symbolic learning and information theory.
Faramarz Fekri's lab at Georgia Tech works on reasoning & neuro-symbolic AI, learning theory & optimization and reasoning & agents. 6 papers since 2023, 2 at top venues, mostly AAAI and AISTATS. 7 PhD students. 31 alumni. Applications close .
At a glance
- papers, 2023–2026
- 2/ year
- at T1 venues
- 33%
- PhD students
- 7
- MS students
- 0
- alumni listed
- 31
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 0 papers2025 · T1 0
- 0 papers2024 · T1 0
- 6 papers2023 · T1 2
T1 venuesOtherVenues: AAAI, AISTATS
Research focuspaper titles that use each topic's words
- Learning theory & optimization3 papers
- Reasoning & neuro-symbolic AI0 papers
- Reasoning & agents0 papers
- neuro-symbolic learning0 papers
- neuro-symbolic0 papers
Paper list
From the lab homepage.
20236 papers
- IEEE Transactions on Signal Processing (TSP), accepted in Nov. , to appear .A General Compressive Sensing Construct using Density Evolution
- IEEE SPAWC, Shanghai, China, Fall .Attri-Sense: An Attribute-based Privacy Framework for Federated Learning
- AAAI (T1)Efficient Distributed Inference of Deep Neural Networks via Restructuring and Pruning
- International Conference on Machine Learning (ICLR), Kigali, Rwanda, May .LogicDP: Creating Labels for Graph Data via Inductive Logic Programming
- AISTATS (T1)NODAGS-Flow: Nonlinear Cyclic Causal Structure Learning
- In International Conference on Learning Representations (ICLR), Kigali, Rwanda, May .TILP: Differentiable Learning of Temporal Logical Rules on Knowledge Graphs
Where alumni went31 listed
Apply to Georgia TechFall 2027
Georgia Tech Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- optional
- English
- TOEFL/IELTS
- Fee
- See program page
Not yet confirmed for this intake.
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Data
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- Papers
- The lab homepage
- Members
- Lab homepage
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- Lab homepage
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