Ali Payani

According to our database, Ali Payani authored at least 27 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Not All Federated Learning Algorithms Are Created Equal: A Performance Evaluation Study.

Gustav A. Baumgart, Jaemin Shin, Ali Payani, Myungjin Lee, Ramana Rao Kompella

CoRR, 2024

Data-Efficient Contrastive Language-Image Pretraining: Prioritizing Data Quality over Quantity.

Siddharth Joshi, Arnav Jain, Ali Payani, Baharan Mirzasoleiman

CoRR, 2024

Prompt Mining for Language-based Human Mobility Forecasting.

Hao Xue, Tianye Tang, Ali Payani, Flora D. Salim

CoRR, 2024

When is Tree Search Useful for LLM Planning? It Depends on the Discriminator.

Ziru Chen, Michael White, Raymond J. Mooney, Ali Payani, Yu Su, Huan Sun

CoRR, 2024

Large Language Models Can Learn Temporal Reasoning.

Siheng Xiong, Ali Payani, Ramana Kompella, Faramarz Fekri

CoRR, 2024

TEILP: Time Prediction over Knowledge Graphs via Logical Reasoning.

Siheng Xiong, Yuan Yang, Ali Payani, James Clayton Kerce, Faramarz Fekri

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Investigating the Impact of Weight Sharing Decisions on Knowledge Transfer in Continual Learning.

Joshua Andle, Ali Payani, Salimeh Yasaei Sekeh

CoRR, 2023

Beyond Detection: Unveiling Fairness Vulnerabilities in Abusive Language Models.

Yueqing Liang, Lu Cheng, Ali Payani, Kai Shu

CoRR, 2023

Harnessing the Power of Large Language Models for Natural Language to First-Order Logic Translation.

Yuan Yang, Siheng Xiong, Ali Payani, Ehsan Shareghi, Faramarz Fekri

CoRR, 2023

Eliminating Spurious Correlations from Pre-trained Models via Data Mixing.

Yihao Xue, Ali Payani, Yu Yang, Baharan Mirzasoleiman

CoRR, 2023

Mitigating Group Bias in Federated Learning: Beyond Local Fairness.

Ganghua Wang, Ali Payani, Myungjin Lee, Ramana Kompella

CoRR, 2023

LogicDP: Creating Labels for Graph Data via Inductive Logic Programming.

Yuan Yang, Faramarz Fekri, James Clayton Kerce, Ali Payani

Proceedings of the Eleventh International Conference on Learning Representations, 2023

EVA: An End-to-End Exploratory Video Analytics System.

Gaurav Tarlok Kakkar, Jiashen Cao, Pramod Chunduri, Zhuangdi Xu, Suryatej Reddy Vyalla, Prashanth Dintyala, Anirudh Prabakaran, Jaeho Bang, Aubhro Sengupta, Kaushik Ravichandran, Ishwarya Sivakumar, Aryan Rajoria, Ashmita Raju, Tushar Aggarwal, Abdullah Shah, Sanjana Garg, Shashank Suman, Myna Prasanna Kalluraya, Subrata Mitra, Ali Payani, Yao Lu, Umakishore Ramachandran, Joy Arulraj

Proceedings of the Seventh Workshop on Data Management for End-to-End Machine Learning, 2023

Classifying Functional Brain Graphs Using Graph Hypervector Representation.

Lulu Ge, Ali Payani, Hugo Latapie, Keshab K. Parhi

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

Text-to-SQL Error Correction with Language Models of Code.

Ziru Chen, Shijie Chen, Michael White, Raymond J. Mooney, Ali Payani, Jayanth Srinivasa, Yu Su, Huan Sun

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2021

Predicting Mobile Users Traffic and Access-Time Behavior Using Recurrent Neural Networks.

Abdulrahman Alamoudi, Mingliu Liu, Ali Payani, Faramarz Fekri, Deshi Li

Proceedings of the IEEE Wireless Communications and Networking Conference, 2021

Visual Question Answering based on Formal Logic.

Muralikrishnna G. Sethuraman, Ali Payani, Faramarz Fekri, J. Clayton Kerce

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

2020

Differentiable neural logic networks and their application onto inductive logic programming.

Ali Payani

PhD thesis, 2020

Incorporating Relational Background Knowledge into Reinforcement Learning via Differentiable Inductive Logic Programming.

Ali Payani, Faramarz Fekri

CoRR, 2020

2019

Inductive Logic Programming via Differentiable Deep Neural Logic Networks.

Ali Payani, Faramarz Fekri

CoRR, 2019

Learning Algorithms via Neural Logic Networks.

Ali Payani, Faramarz Fekri

CoRR, 2019

Unsupervised Learning of Independent Components from a Noisy and Non-Linear Mixture via Variational Autoencoders.

Ali Payani, Faramarz Fekri

Proceedings of the 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2019

2018

Advances in Seismic Data Compression via Learning from Data: Compression for Seismic Data Acquisition.

Ali Payani, Afshin Abdi, Xin Tian, Faramarz Fekri, Mohamed A. Mohandes

IEEE Signal Process. Mag., 2018

Decoding LDPC Codes on Binary Erasure Channels using Deep Recurrent Neural-Logic Layers.

Ali Payani, Faramarz Fekri

Proceedings of the 10th IEEE International Symposium on Turbo Codes & Iterative Information Processing, 2018

2017

Learning dictionary for efficient signal compression.

Afshin Abdi, Ali Payani, Faramarz Fekri

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Seismic Data Compression Using Online Double-Sparse Dictionary Learning Schemes.

Entao Liu, Ali Payani, Faramarz Fekri

Proceedings of the 2017 Data Compression Conference, 2017

2016

Near optimal representative subset selection from short sequences generated by a stationary source.

Ali Payani, Afshin Abdi, Faramarz Fekri

Proceedings of the 17th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2016