Ali Payani

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 40

Top Topics

Representative Subset

Top Venues

Publications

Hao Xue, Tianye Tang, Ali Payani, Flora D. Salim
Prompt Mining for Language-based Human Mobility Forecasting. CoRR (2024)
Siddharth Joshi, Arnav Jain, Ali Payani, Baharan Mirzasoleiman
Data-Efficient Contrastive Language-Image Pretraining: Prioritizing Data Quality over Quantity. AISTATS (2024)
Ziru Chen, Michael White, Raymond J. Mooney, Ali Payani, Yu Su, Huan Sun
When is Tree Search Useful for LLM Planning? It Depends on the Discriminator. CoRR (2024)
Yifan Yang, Ali Payani, Parinaz Naghizadeh
Generalization Error Bounds for Learning under Censored Feedback. CoRR (2024)
Siddharth Joshi, Arnav Jain, Ali Payani, Baharan Mirzasoleiman
Data-Efficient Contrastive Language-Image Pretraining: Prioritizing Data Quality over Quantity. 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)
Yifan Yang, Ali Payani, Parinaz Naghizadeh
Enhancing Group Fairness in Federated Learning through Personalization. CoRR (2024)
Yuchi Liu, Jaskirat Singh, Gaowen Liu, Ali Payani, Liang Zheng
Towards Hierarchical Multi-Agent Workflows for Zero-Shot Prompt Optimization. CoRR (2024)
Renzhi Wu, Pramod Chunduri, Dristi J. Shah, Ashmitha Julius Aravind, Ali Payani, Xu Chu, Joy Arulraj, Kexin Rong
SketchQL Demonstration: Zero-shot Video Moment Querying with Sketches. CoRR (2024)
Gustav A. Baumgart, Jaemin Shin, Ali Payani, Myungjin Lee, Ramana Rao Kompella
Not All Federated Learning Algorithms Are Created Equal: A Performance Evaluation Study. CoRR (2024)
Siheng Xiong, Yuan Yang, Ali Payani, James Clayton Kerce, Faramarz Fekri
TEILP: Time Prediction over Knowledge Graphs via Logical Reasoning. AAAI (2024)
Qin Yang, Meisam Mohammady, Han Wang, Ali Payani, Ashish Kundu, Kai Shu, Yan Yan, Yuan Hong
LMO-DP: Optimizing the Randomization Mechanism for Differentially Private Fine-Tuning (Large) Language Models. CoRR (2024)
Ziru Chen, Michael White, Raymond J. Mooney, Ali Payani, Yu Su, Huan Sun
When is Tree Search Useful for LLM Planning? It Depends on the Discriminator. ACL (1) (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)
Allen-Jasmin Farcas, Myungjin Lee, Ali Payani, Hugo Latapie, Ramana Rao Kompella, Radu Marculescu
CHESSFL: Clustering Hierarchical Embeddings for Semi-Supervised Federated Learning. IoTDI (2024)
Siheng Xiong, Yuan Yang, Ali Payani, James Clayton Kerce, Faramarz Fekri
TEILP: Time Prediction over Knowledge Graphs via Logical Reasoning. CoRR (2023)
Ganghua Wang, Ali Payani, Myungjin Lee, Ramana Kompella
Mitigating Group Bias in Federated Learning: Beyond Local Fairness. CoRR (2023)
Yueqing Liang, Lu Cheng, Ali Payani, Kai Shu
Beyond Detection: Unveiling Fairness Vulnerabilities in Abusive Language Models. CoRR (2023)
Ziru Chen, Shijie Chen, Michael White, Raymond J. Mooney, Ali Payani, Jayanth Srinivasa, Yu Su, Huan Sun
Text-to-SQL Error Correction with Language Models of Code. ACL (2) (2023)
Ziru Chen, Shijie Chen, Michael White, Raymond J. Mooney, Ali Payani, Jayanth Srinivasa, Yu Su, Huan Sun
Text-to-SQL Error Correction with Language Models of Code. CoRR (2023)
Lulu Ge, Ali Payani, Hugo Latapie, Keshab K. Parhi
Classifying Functional Brain Graphs Using Graph Hypervector Representation. ACSSC (2023)
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
EVA: An End-to-End Exploratory Video Analytics System. DEEM@SIGMOD (2023)
Joshua Andle, Ali Payani, Salimeh Yasaei Sekeh
Investigating the Impact of Weight Sharing Decisions on Knowledge Transfer in Continual Learning. CoRR (2023)
Yuan Yang, Faramarz Fekri, James Clayton Kerce, Ali Payani
LogicDP: Creating Labels for Graph Data via Inductive Logic Programming. ICLR (2023)
Yihao Xue, Ali Payani, Yu Yang, Baharan Mirzasoleiman
Eliminating Spurious Correlations from Pre-trained Models via Data Mixing. CoRR (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)
Muralikrishnna G. Sethuraman, Ali Payani, Faramarz Fekri, J. Clayton Kerce
Visual Question Answering based on Formal Logic. ICMLA (2021)
Muralikrishnna G. Sethuraman, Ali Payani, Faramarz Fekri, J. Clayton Kerce
Visual Question Answering based on Formal Logic. CoRR (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)
Ali Payani, Faramarz Fekri
Incorporating Relational Background Knowledge into Reinforcement Learning via Differentiable Inductive Logic Programming. CoRR (2020)
Ali Payani, Faramarz Fekri
Learning Algorithms via Neural Logic Networks. 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)
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)
Entao Liu, Ali Payani, Faramarz Fekri
Seismic Data Compression Using Online Double-Sparse Dictionary Learning Schemes. DCC (2017)
Ali Payani, Afshin Abdi, Faramarz Fekri
Near optimal representative subset selection from short sequences generated by a stationary source. SPAWC (2016)