Faramarz Fekri

ORCID

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 102

Top Venues

Publications

Siheng Xiong, Yuan Yang, Faramarz Fekri, James Clayton Kerce
TILP: Differentiable Learning of Temporal Logical Rules on Knowledge Graphs. CoRR (2024)
Siheng Xiong, Ali Payani, Ramana Kompella, Faramarz Fekri
Large Language Models Can Learn Temporal Reasoning. CoRR (2024)
Siheng Xiong, Ali Payani, Ramana Kompella, Faramarz Fekri
Large Language Models Can Learn Temporal Reasoning. ACL (1) (2024)
Ahmet Faruk Saz, Siheng Xiong, Yashas Malur Saidutta, Faramarz Fekri
Model-Theoretic Logic for Mathematical Theory of Semantic Information and Communication. CoRR (2024)
Siheng Xiong, Yuan Yang, Ali Payani, James Clayton Kerce, Faramarz Fekri
TEILP: Time Prediction over Knowledge Graphs via Logical Reasoning. AAAI (2024)
Muralikrishnna G. Sethuraman, Faramarz Fekri
Learning Cyclic Causal Models from Incomplete Data. CoRR (2024)
Yuan Yang, Siheng Xiong, Ali Payani, Ehsan Shareghi, Faramarz Fekri
Harnessing the Power of Large Language Models for Natural Language to First-Order Logic Translation. ACL (1) (2024)
Yuan Yang, Siheng Xiong, Ali Payani, Ehsan Shareghi, Faramarz Fekri
Can LLMs Reason in the Wild with Programs? CoRR (2024)
Muralikrishnna G. Sethuraman, Romain Lopez, Rahul Mohan, Faramarz Fekri, Tommaso Biancalani, Jan-Christian Hütter
NODAGS-Flow: Nonlinear Cyclic Causal Structure Learning. CoRR (2023)
Siheng Xiong, Yuan Yang, Ali Payani, James Clayton Kerce, Faramarz Fekri
TEILP: Time Prediction over Knowledge Graphs via Logical Reasoning. CoRR (2023)
Muralikrishnna G. Sethuraman, Hang Zhang, Faramarz Fekri
A Density Evolution Framework for Recovery of Covariance and Causal Graphs from Compressed Measurements. Allerton (2023)
Siheng Xiong, Yuan Yang, Faramarz Fekri, James Clayton Kerce
TILP: Differentiable Learning of Temporal Logical Rules on Knowledge Graphs. ICLR (2023)
Afshin Abdi, Saeed Rashidi, Faramarz Fekri, Tushar Krishna
Efficient Distributed Inference of Deep Neural Networks via Restructuring and Pruning. AAAI (2023)
Muralikrishnna G. Sethuraman, Romain Lopez, Rahul Mohan, Faramarz Fekri, Tommaso Biancalani, Jan-Christian Hütter
NODAGS-Flow: Nonlinear Cyclic Causal Structure Learning. AISTATS (2023)
Muhammad Esmat, Bo Liu, Ali Al-Shaikhi, Sherif M. Hanafy, Mohamed A. Mohandes, Faramarz Fekri
Automatic First Arrival Picking for Seismic Data using Kalman Filter. ISNCC (2023)
Yuan Yang, Faramarz Fekri, James Clayton Kerce, Ali Payani
LogicDP: Creating Labels for Graph Data via Inductive Logic Programming. ICLR (2023)
Duo Xu, Faramarz Fekri
Improving Actor-Critic Reinforcement Learning via Hamiltonian Monte Carlo Method. IEEE Trans. Artif. Intell. 4 (6) (2023)
Yuan Yang, Siheng Xiong, Ali Payani, Ehsan Shareghi, Faramarz Fekri
Harnessing the Power of Large Language Models for Natural Language to First-Order Logic Translation. CoRR (2023)
Ahmet Faruk Saz, Yashas Malur Saidutta, Faramarz Fekri, Mustafa Riza Akdeniz, Brandon Edwards, Nageen Himayat
Attri-Fed: A GIB Framework for Attribute-Based Privacy and Communication-Efficient Federated Learning. SPAWC (2023)
Hang Zhang, Afshin Abdi, Faramarz Fekri
Structure Learning in Graphical Models from Indirect Observations. CoRR (2022)
Yuan Yang, Siheng Xiong, James Clayton Kerce, Faramarz Fekri
Temporal Inductive Logic Reasoning. CoRR (2022)
Duo Xu, Faramarz Fekri
A Framework for Following Temporal Logic Instructions with Unknown Causal Dependencies. CoRR (2022)
Duo Xu, Faramarz Fekri
Generalizing LTL Instructions via Future Dependent Options. CoRR (2022)
Yuan Yang, James Clayton Kerce, Faramarz Fekri
LOGICDEF: An Interpretable Defense Framework against Adversarial Examples via Inductive Scene Graph Reasoning. AAAI (2022)
Yashas Malur Saidutta, Afshin Abdi, Faramarz Fekri
A Machine Learning Framework for Distributed Functional Compression over Wireless Channels in IoT. CoRR (2022)
Muralikrishnna G. Sethuraman, Hang Zhang, Faramarz Fekri
Design of Compressed Sensing Systems via Density-Evolution Framework for Structure Recovery in Graphical Models. CoRR (2022)
Duo Xu, Faramarz Fekri
Improving Actor-Critic Reinforcement Learning Via Hamiltonian Monte Carlo Method. ICASSP (2022)
Bo Liu, Mohamed A. Mohandes, Hilal H. Nuha, Mohamed Deriche, Faramarz Fekri, James H. McClellan
A Multitone Model-Based Seismic Data Compression. IEEE Trans. Syst. Man Cybern. Syst. 52 (2) (2022)
Yashas Malur Saidutta, Faramarz Fekri, Afshin Abdi
A Machine Learning Framework for Privacy-Aware Distributed Functional Compression over AWGN Channels. ITW (2022)
Duo Xu, Faramarz Fekri
Integrating Symbolic Planning and Reinforcement Learning for Following Temporal Logic Specifications. IJCNN (2022)
Yashas Malur Saidutta, Afshin Abdi, Faramarz Fekri
Joint Source-Channel Coding Over Additive Noise Analog Channels Using Mixture of Variational Autoencoders. IEEE J. Sel. Areas Commun. 39 (7) (2021)
Yashas Malur Saidutta, Afshin Abdi, Faramarz Fekri
Analog Joint Source-Channel Coding for Distributed Functional Compression using Deep Neural Networks. ISIT (2021)
Hang Zhang, Afshin Abdi, Faramarz Fekri
A General Framework for the Design of Compressive Sensing using Density Evolution. ITW (2021)
Muralikrishnna G. Sethuraman, Ali Payani, Faramarz Fekri, J. Clayton Kerce
Visual Question Answering based on Formal Logic. ICMLA (2021)
Xiao Li, Yashas Malur Saidutta, Faramarz Fekri
Social event planning using hybrid pairwise Markov random fields. Int. J. Intell. Syst. 36 (11) (2021)
Duo Xu, Faramarz Fekri
Improving Actor-Critic Reinforcement Learning via Hamiltonian Policy. CoRR (2021)
Muralikrishnna G. Sethuraman, Ali Payani, Faramarz Fekri, J. Clayton Kerce
Visual Question Answering based on Formal Logic. CoRR (2021)
Duo Xu, Faramarz Fekri
Interpretable Model-based Hierarchical Reinforcement Learning using Inductive Logic Programming. CoRR (2021)
Duo Xu, Mohit Agarwal, Ekansh Gupta, Faramarz Fekri, Raghupathy Sivakumar
Accelerating Reinforcement Learning using EEG-based implicit human feedback. Neurocomputing 460 (2021)
Abdulrahman Alamoudi, Mingliu Liu, Ali Payani, Faramarz Fekri, Deshi Li
Predicting Mobile Users Traffic and Access-Time Behavior Using Recurrent Neural Networks. WCNC (2021)
Yashas Malur Saidutta, Afshin Abdi, Faramarz Fekri
VAE for Joint Source-Channel Coding of Distributed Gaussian Sources over AWGN MAC. SPAWC (2020)
Duo Xu, Mohit Agarwal, Faramarz Fekri, Raghupathy Sivakumar
Accelerating Reinforcement Learning Agent with EEG-based Implicit Human Feedback. CoRR (2020)
Afshin Abdi, Faramarz Fekri
Indirect Stochastic Gradient Quantization and Its Application in Distributed Deep Learning. AAAI (2020)
Afshin Abdi, Faramarz Fekri
Quantized Compressive Sampling of Stochastic Gradients for Efficient Communication in Distributed Deep Learning. AAAI (2020)
Afshin Abdi, Yashas Malur Saidutta, Faramarz Fekri
Analog Compression and Communication for Federated Learning over Wireless MAC. SPAWC (2020)
Ali Payani, Faramarz Fekri
Incorporating Relational Background Knowledge into Reinforcement Learning via Differentiable Inductive Logic Programming. CoRR (2020)
Afshin Abdi, Saeed Rashidi, Faramarz Fekri, Tushar Krishna
Restructuring, Pruning, and Adjustment of Deep Models for Parallel Distributed Inference. CoRR (2020)
Ahmad Beirami, Faramarz Fekri
Network Traffic Compression With Side Information. IEEE Access 8 (2020)
Hang Zhang, Afshin Abdi, Faramarz Fekri
Compressive Sensing with a Multiple Convex Sets Domain. ISIT (2019)
Hang Zhang, Afshin Abdi, Faramarz Fekri
Recovering Noisy-Pseudo-Sparse Signals From Linear Measurements via l∞. Allerton (2019)
Ali Payani, Faramarz Fekri
Learning Algorithms via Neural Logic Networks. CoRR (2019)
Afshin Abdi, Faramarz Fekri
Reducing Communication Overhead via CEO in Distributed Training. SPAWC (2019)
Yashas Malur Saidutta, Afshin Abdi, Faramarz Fekri
Joint Source-Channel Coding for Gaussian Sources over AWGN Channels using Variational Autoencoders. ISIT (2019)
Ahmad Beirami, Faramarz Fekri
Universal Compression with Side Information from a Correlated Source. CoRR (2019)
Hang Zhang, Afshin Abdi, Faramarz Fekri
Analysis of Sparse-integer Measurement Matrices in Compressive Sensing. ICASSP (2019)
Yashas Malur Saidutta, Afshin Abdi, Faramarz Fekri
M to 1 Joint Source-Channel Coding of Gaussian Sources via Dichotomy of the Input Space Based on Deep Learning. DCC (2019)
Afshin Abdi, Faramarz Fekri
Nested Dithered Quantization for Communication Reduction in Distributed Training. CoRR (2019)
Ali Payani, Faramarz Fekri
Inductive Logic Programming via Differentiable Deep Neural Logic Networks. CoRR (2019)
Ali Payani, Faramarz Fekri
Unsupervised Learning of Independent Components from a Noisy and Non-Linear Mixture via Variational Autoencoders. SPAWC (2019)
Yashas Malur Saidutta, Afshin Abdi, Faramarz Fekri
Joint Source-Channel Coding of Gaussian sources over AWGN channels via Manifold Variational Autoencoders. Allerton (2019)
Hang Zhang, Afshin Abdi, Faramarz Fekri
Sparse Recovery of Sign Vectors under Uncertain Sensing Matrices. ITW (2018)
Duo Xu, Faramarz Fekri
Time Series Prediction Via Recurrent Neural Networks with the Information Bottleneck Principle. SPAWC (2018)
Xin Tian, Afshin Abdi, Entao Liu, Faramarz Fekri
Seismic Signal Compression Through Delay Compensated and Entropy Constrained Dictionary Learning. SPAWC (2018)
Yashas Malur Saidutta, Jun Zou, Faramarz Fekri
Increasing the learning Capacity of BCI Systems via CNN-HMM models. EMBC (2018)
Bo Liu, Mohamed A. Mohandes, Hilal H. Nuha, Mohamed A. Deriche, Faramarz Fekri
A Distributed Principal Component Analysis Compression for Smart Seismic Acquisition Networks. IEEE Trans. Geosci. Remote. Sens. 56 (6) (2018)
Ali Payani, Faramarz Fekri
Decoding LDPC Codes on Binary Erasure Channels using Deep Recurrent Neural-Logic Layers. ISTC (2018)
Ali Payani, Afshin Abdi, Xin Tian, Faramarz Fekri, Mohamed A. Mohandes
Advances in Seismic Data Compression via Learning from Data: Compression for Seismic Data Acquisition. IEEE Signal Process. Mag. 35 (2) (2018)
Afshin Abdi, Ali Payani, Faramarz Fekri
Learning dictionary for efficient signal compression. ICASSP (2017)
Afshin Abdi, Faramarz Fekri
Mixture source identification in non-stationary data streams with applications in compression. ICASSP (2017)
Hamidreza Arjmandi, Mohammad Movahednasab, Amin Gohari, Mahtab Mirmohseni, Masoumeh Nasiri-Kenari, Faramarz Fekri
ISI-Avoiding Modulation for Diffusion-Based Molecular Communication. IEEE Trans. Mol. Biol. Multi Scale Commun. 3 (1) (2017)
Afshin Abdi, Faramarz Fekri
Optimal sensor selection in the presence of noise and interference. ISIT (2017)
Entao Liu, Ali Payani, Faramarz Fekri
Seismic Data Compression Using Online Double-Sparse Dictionary Learning Schemes. DCC (2017)
Hang Zhang, Afshin Abdi, Faramarz Fekri
Recovery of sign vectors in quadratic compressed sensing. ITW (2017)
Afshin Abdi, Arash Einolghozati, Faramarz Fekri
Quantization in Molecular Signal Sensing via Biological Agents. IEEE Trans. Mol. Biol. Multi Scale Commun. 3 (2) (2017)
Hang Zhang, Afshin Abdi, Faramarz Fekri
Compressive sensing with energy constraint. ITW (2017)
Afshin Abdi, Arash Einolghozati, Faramarz Fekri
Computing framework in biological cells via stochastic methods. ITW (2017)
Xin Tian, Afshin Abdi, Entao Liu, Faramarz Fekri
Memory-assisted seismic signal compression based on dictionary learning and sparse coding. GlobalSIP (2017)
Yubing Jian, Bhuvana Krishnaswamy, Caitlin M. Austin, Ahmet Ozan Bicen, Arash Einolghozati, Jorge E. Perdomo, Sagar C. Patel, Faramarz Fekri, Ian F. Akyildiz, Craig R. Forest, Raghupathy Sivakumar
nanoNS3: A network simulator for bacterial nanonetworks based on molecular communication. Nano Commun. Networks 12 (2017)
Arash Einolghozati, Faramarz Fekri
Analysis of Error-Detection Schemes in Diffusion-Based Molecular Communication. IEEE J. Sel. Areas Commun. 34 (3) (2016)
Ahmad Beirami, Mohsen Sardari, Faramarz Fekri
Packet-Level Network Compression: Realization and Scaling of the Network-Wide Benefits. IEEE/ACM Trans. Netw. 24 (3) (2016)
Alexander G. Dimitrov, Faramarz Fekri, Aurel A. Lazar, Stefan M. Moser, Peter J. Thomas
Guest Editorial Biological Applications of Information Theory in Honor of Claude Shannon's Centennial - Part 1. IEEE Trans. Mol. Biol. Multi Scale Commun. 2 (1) (2016)
Alexander G. Dimitrov, Faramarz Fekri, Aurel A. Lazar, Stefan M. Moser, Peter J. Thomas
Guest Editorial Biological Applications of Information Theory in Honor of Claude Shannon's Centennial - Part II. IEEE Trans. Mol. Biol. Multi Scale Commun. 2 (2) (2016)
Ahmad Beirami, Mohsen Sardari, Faramarz Fekri
Wireless Network Compression Via Memory-Enabled Overhearing Helpers. IEEE Trans. Wirel. Commun. 15 (1) (2016)
Arash Einolghozati, Jun Zou, Afshin Abdi, Faramarz Fekri
Micro-RNA profile detection via factor graphs. SPAWC (2016)
Hang Zhang, Afshin Abdi, Faramarz Fekri, Hadi Esmaeilzadeh
Error correction for approximate computing. Allerton (2016)
Arash Einolghozati, Mohsen Sardari, Faramarz Fekri
Networks of bacteria colonies: A new framework for reliable molecular communication networking. Nano Commun. Networks 7 (2016)
Ali Payani, Afshin Abdi, Faramarz Fekri
Near optimal representative subset selection from short sequences generated by a stationary source. SPAWC (2016)
Gholamali Aminian, Mahtab Mirmohseni, Masoumeh Nasiri-Kenari, Faramarz Fekri
On the Capacity of Level and Type Modulation in Molecular Communication with Ligand Receptors. CoRR (2015)
Jun Zou, Faramarz Fekri
A Belief Propagation Approach to Privacy-Preserving Item-Based Collaborative Filtering. IEEE J. Sel. Top. Signal Process. 9 (7) (2015)
Gholamali Aminian, Maryam Farahnak-Ghazani, Mahtab Mirmohseni, Masoumeh Nasiri-Kenari, Faramarz Fekri
On the Capacity of Point-to-Point and Multiple-Access Molecular Communications with Ligand-Receptors. CoRR (2015)
Jun Zou, Faramarz Fekri
Leveraging Online Social Relationships for Predicting User Trustworthiness. GLOBECOM (2015)
Arash Einolghozati, Faramarz Fekri
Rate-distortion in molecular signal sensing with ligand receptors. ISIT (2015)
Afshin Abdi, Faramarz Fekri
Source identification and compression of mixture data from finite observations. ITW Fall (2015)
Jun Zou, Faramarz Fekri, Steven W. McLaughlin
Mining Streaming Tweets for Real-Time Event Credibility Prediction in Twitter. ASONAM (2015)
Arash Einolghozati, Faramarz Fekri
Error detection in diffusion-based molecular communication. ICC (2015)
Gholamali Aminian, Maryam Farahnak-Ghazani, Mahtab Mirmohseni, Masoumeh Nasiri-Kenari, Faramarz Fekri
On the Capacity of Point-to-Point and Multiple-Access Molecular Communications With Ligand-Receptors. IEEE Trans. Mol. Biol. Multi Scale Commun. 1 (4) (2015)
Mehrdad Tahmasbi, Faramarz Fekri
On the Capacity Achieving Probability Measures for Molecular Receivers. CoRR (2015)
Nima Torabkhani, Faramarz Fekri
Decodability analysis of finite memory random linear coding in line networks. ICC (2015)
Hamidreza Arjmandi, Mohammad Movahednasab, Amin Gohari, Mahtab Mirmohseni, Masoumeh Nasiri-Kenari, Faramarz Fekri
On ISI-free Modulations for Diffusion based Molecular Communication. CoRR (2015)
Juhua Pu, Xingwu Liu, Nima Torabkhani, Faramarz Fekri, Zhang Xiong
Delay analysis of two-hop network-coded delay-tolerant networks. Wirel. Commun. Mob. Comput. 15 (4) (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Faramarz Fekri