Ali Payani

105 papers A* 15A 2B 4C 1Misc 2Journal 63Unranked 17
YearRankTypeTitle / Venue / Authors
2026 J jnl
Balancing Faithfulness and Performance in Reasoning via Multi-Listener Soft Execution.
CoRR
Nithin Sivakumaran, Shoubin Yu, Hyunji Lee, Yue Zhang, Ali Payani, Mohit Bansal, Elias Stengel-Eskin
2026 A* conf
Benchmarking LLMs for Political Science: A United Nations Perspective.
AAAI
Yueqing Liang, Liangwei Yang, Chen Wang, Congying Xia, Rui Meng, Xiongxiao Xu, Haoran Wang, Ali Payani, Kai Shu
2026 J jnl
Halo: Domain-Aware Query Optimization for Long-Context Question Answering.
CoRR
Pramod Chunduri, Francisco Romero, Ali Payani, Kexin Rong, Joy Arulraj
2026 A* conf
Model Editing as a Double-Edged Sword: Steering Agent Behavior Toward Beneficence or Harm.
AAAI
Baixiang Huang, Zhen Tan, Haoran Wang, Zijie Liu, Dawei Li, Ali Payani, Huan Liu, Tianlong Chen, Kai Shu
2026 J jnl
Rethinking Memory Mechanisms of Foundation Agents in the Second Half: A Survey.
CoRR
Wei-Chieh Huang, Weizhi Zhang, Yueqing Liang, Yuanchen Bei, Yankai Chen, Tao Feng, Xinyu Pan, Zhen Tan, Yu Wang, Tianxin Wei, Shanglin Wu, Ruiyao Xu, Liangwei Yang, Rui Yang, Wooseong Yang, Chin-Yuan Yeh, Hanrong Zhang, Haozhen Zhang, Siqi Zhu, Henry Peng Zou, Wanjia Zhao, Song Wang, Wujiang Xu, Zixuan Ke, Zheng Hui, Dawei Li, Yaozu Wu, Langzhou He, Chen Wang, Xiongxiao Xu, Baixiang Huang, Juntao Tan, Shelby Heinecke, Huan Wang, Caiming Xiong, Ahmed A. Metwally, Jun Yan, Chen-Yu Lee, Hanqing Zeng, Yinglong Xia, Xiaokai Wei, Ali Payani, Yu Wang, Haitong Ma, Wenya Wang, Chenguang Wang, Yu Zhang, Xin Wang, Yongfeng Zhang, Jiaxuan You, Hanghang Tong, Xiao Luo, Xue Liu, Yizhou Sun, Wei Wang, Julian J. McAuley, James Zou, Jiawei Han, Philip S. Yu, Kai Shu
2025 A* conf
A Generic Framework for Conformal Fairness.
ICLR
Aditya T. Vadlamani, Anutam Srinivasan, Pranav Maneriker, Ali Payani, Srinivasan Parthasarathy
2025 J jnl
A Generic Framework for Conformal Fairness.
CoRR
Aditya T. Vadlamani, Anutam Srinivasan, Pranav Maneriker, Ali Payani, Srinivasan Parthasarathy
2025 J jnl
AALC: Large Language Model Efficient Reasoning via Adaptive Accuracy-Length Control.
CoRR
Ruosen Li, Ziming Luo, Quan Zhang, Ruochen Li, Ben Zhou, Ali Payani, Xinya Du
2025 A* conf
AutoSDT: Scaling Data-Driven Discovery Tasks Toward Open Co-Scientists.
EMNLP
Yifei Li, Hanane Nour Moussa, Ziru Chen, Shijie Chen, Botao Yu, Mingyi Xue, Benjamin Burns, Tzu-Yao Chiu, Vishal Dey, Zitong Lu, Chen Wei, Qianheng Zhang, Tianyu Zhang, Song Gao, Xuhui Huang, Xia Ning, Nesreen K. Ahmed, Ali Payani, Huan Sun
2025 J jnl
AutoSDT: Scaling Data-Driven Discovery Tasks Toward Open Co-Scientists.
CoRR
Yifei Li, Hanane Nour Moussa, Ziru Chen, Shijie Chen, Botao Yu, Mingyi Xue, Benjamin Burns, Tzu-Yao Chiu, Vishal Dey, Zitong Lu, Chen Wei, Qianheng Zhang, Tianyu Zhang, Song Gao, Xuhui Huang, Xia Ning, Nesreen K. Ahmed, Ali Payani, Huan Sun
2025 J jnl
Benchmarking LLMs for Political Science: A United Nations Perspective.
CoRR
Yueqing Liang, Liangwei Yang, Chen Wang, Congying Xia, Rui Meng, Xiongxiao Xu, Haoran Wang, Ali Payani, Kai Shu
2025 — conf
Beyond Semantic Entropy: Boosting LLM Uncertainty Quantification with Pairwise Semantic Similarity.
ACL (Findings)
Dang Nguyen, Ali Payani, Baharan Mirzasoleiman
2025 J jnl
Beyond Semantic Entropy: Boosting LLM Uncertainty Quantification with Pairwise Semantic Similarity.
CoRR
Dang Nguyen, Ali Payani, Baharan Mirzasoleiman
2025 A* conf
Beyond Single Concept Vector: Modeling Concept Subspace in LLMs with Gaussian Distribution.
ICLR
Haiyan Zhao, Heng Zhao, Bo Shen, Ali Payani, Fan Yang, Mengnan Du
2025 J jnl
Bootstrapping LLM Robustness for VLM Safety via Reducing the Pretraining Modality Gap.
CoRR
Wenhan Yang, Spencer Stice, Ali Payani, Baharan Mirzasoleiman
2025 A* conf
Can Knowledge Editing Really Correct Hallucinations?
ICLR
Baixiang Huang, Canyu Chen, Xiongxiao Xu, Ali Payani, Kai Shu
2025 J jnl
Command-V: Pasting LLM Behaviors via Activation Profiles.
CoRR
Barry Wang, Avi Schwarzschild, Alexander Robey, Ali Payani, Charles Fleming, Mingjie Sun, Daphne Ippolito
2025 J jnl
Conformal Prediction: A Theoretical Note and Benchmarking Transductive Node Classification in Graphs.
Trans. Mach. Learn. Res.
Pranav Maneriker, Aditya T. Vadlamani, Anutam Srinivasan, Yuntian He, Ali Payani, Srinivasan Parthasarathy
2025 — conf
Deliberate Reasoning in Language Models as Structure-Aware Planning with an Accurate World Model.
ACL (1)
Siheng Xiong, Ali Payani, Yuan Yang, Faramarz Fekri
2025 J jnl
Effective Training Data Synthesis for Improving MLLM Chart Understanding.
CoRR
Yuwei Yang, Zeyu Zhang, Yunzhong Hou, Zhuowan Li, Gaowen Liu, Ali Payani, Yuan-Sen Ting, Liang Zheng
2025 J jnl
Enhancing Long Chain-of-Thought Reasoning through Multi-Path Plan Aggregation.
CoRR
Siheng Xiong, Ali Payani, Faramarz Fekri
2025 B conf
FABLE: Fairness Attack in Abusive Language Detection.
IEEE Big Data
Yueqing Liang, Lu Cheng, Ali Payani, Kai Shu
2025 J jnl
Federated Learning Under Evolving Distribution Shifts.
Entropy
Xuwei Tan, Tian Xie, Xue Zheng, Aylin Yener, Myungjin Lee, Ali Payani, Hugo Latapie, Xueru Zhang
2025 J jnl
GUI-Spotlight: Adaptive Iterative Focus Refinement for Enhanced GUI Visual Grounding.
CoRR
Bin Lei, Nuo Xu, Ali Payani, Ming-Yi Hong, Chunhua Liao, Yu Cao, Caiwen Ding
2025 — conf
How Can Input Reformulation Improve Tool Usage Accuracy in a Complex Dynamic Environment? A Study on tau-bench.
EMNLP (Findings)
Venkatesh Mishra, Amir Saeidi, Satyam Raj, Mutsumi Nakamura, Gaowen Liu, Ali Payani, Jayanth Srinivasa, Chitta Baral
2025 J jnl
How Can Input Reformulation Improve Tool Usage Accuracy in a Complex Dynamic Environment? A Study on τ-bench.
CoRR
Venkatesh Mishra, Amir Saeidi, Satyam Raj, Mutsumi Nakamura, Jayanth Srinivasa, Gaowen Liu, Ali Payani, Chitta Baral
2025 J jnl
InfantAgent-Next: A Multimodal Generalist Agent for Automated Computer Interaction.
CoRR
Bin Lei, Weitai Kang, Zijian Zhang, Winson Chen, Xi Xie, Shan Zuo, Mimi Xie, Ali Payani, Mingyi Hong, Yan Yan, Caiwen Ding
2025 — conf
Investigating the Shortcomings of LLMs in Step-by-Step Legal Reasoning.
NAACL (Findings)
Venkatesh Mishra, Bimsara Pathiraja, Mihir Parmar, Sat Chidananda, Jayanth Srinivasa, Gaowen Liu, Ali Payani, Chitta Baral
2025 J jnl
Investigating the Shortcomings of LLMs in Step-by-Step Legal Reasoning.
CoRR
Venkatesh Mishra, Bimsara Pathiraja, Mihir Parmar, Sat Chidananda, Jayanth Srinivasa, Gaowen Liu, Ali Payani, Chitta Baral
2025 A* conf
Language Ranker: A Metric for Quantifying LLM Performance Across High and Low-Resource Languages.
AAAI
Zihao Li, Yucheng Shi, Zirui Liu, Fan Yang, Ali Payani, Ninghao Liu, Mengnan Du
2025 — conf
Large Vision-Language Model Alignment and Misalignment: A Survey Through the Lens of Explainability.
EMNLP (Findings)
Dong Shu, Haiyan Zhao, Jingyu Hu, Weiru Liu, Ali Payani, Lu Cheng, Mengnan Du
2025 — conf
MDBench: A Synthetic Multi-Document Reasoning Benchmark Generated with Knowledge Guidance.
ACL (Findings)
Joseph J. Peper, Wenzhao Qiu, Ali Payani, Lu Wang
2025 J jnl
MDBench: A Synthetic Multi-Document Reasoning Benchmark Generated with Knowledge Guidance.
CoRR
Joseph J. Peper, Wenzhao Qiu, Ali Payani, Lu Wang
2025 J jnl
MemLens: Uncovering Memorization in LLMs with Activation Trajectories.
CoRR
Zirui He, Haiyan Zhao, Ali Payani, Mengnan Du
2025 J jnl
Model Editing as a Double-Edged Sword: Steering Agent Ethical Behavior Toward Beneficence or Harm.
CoRR
Baixiang Huang, Zhen Tan, Haoran Wang, Zijie Liu, Dawei Li, Ali Payani, Huan Liu, Tianlong Chen, Kai Shu
2025 J jnl
Personalized Federated Fine-tuning for Heterogeneous Data: An Automatic Rank Learning Approach via Two-Level LoRA.
CoRR
Jie Hao, Yuman Wu, Ali Payani, Myungjin Lee, Mingrui Liu
2025 J jnl
Program Semantic Inequivalence Game with Large Language Models.
CoRR
Antonio Valerio Miceli Barone, Vaishak Belle, Ali Payani
2025 J jnl
Rep2Text: Decoding Full Text from a Single LLM Token Representation.
CoRR
Haiyan Zhao, Zirui He, Fan Yang, Ali Payani, Mengnan Du
2025 A* conf
SAE-SSV: Supervised Steering in Sparse Representation Spaces for Reliable Control of Language Models.
EMNLP
Zirui He, Mingyu Jin, Bo Shen, Ali Payani, Yongfeng Zhang, Mengnan Du
2025 J jnl
SAE-SSV: Supervised Steering in Sparse Representation Spaces for Reliable Control of Language Models.
CoRR
Zirui He, Mingyu Jin, Bo Shen, Ali Payani, Yongfeng Zhang, Mengnan Du
2025 J jnl
SAIF: A Sparse Autoencoder Framework for Interpreting and Steering Instruction Following of Language Models.
CoRR
Zirui He, Haiyan Zhao, Yiran Qiao, Fan Yang, Ali Payani, Jing Ma, Mengnan Du
2025 J jnl
Towards Strong Certified Defense with Universal Asymmetric Randomization.
CoRR
Hanbin Hong, Ashish Kundu, Ali Payani, Binghui Wang, Yuan Hong
2025 J jnl
Towards Uncovering How Large Language ModelsWork: An Interpretability Perspective.
SIGKDD Explor.
Haiyan Zhao, Fan Yang, Bo Shen, Ali Payani, Himabindu Lakkaraju, Mengnan Du
2025 J jnl
Unreasonable effectiveness of LLM reasoning: a doubly cautionary tale of temporal question-answering.
Trans. Mach. Learn. Res.
Dagmara Panas, Ali Payani, Vaishak Belle
2024 A* conf
A Federated Stochastic Multi-level Compositional Minimax Algorithm for Deep AUC Maximization.
ICML
Xinwen Zhang, Ali Payani, Myungjin Lee, Richard Souvenir, Hongchang Gao
2024 J jnl
Benchmarking Graph Conformal Prediction: Empirical Analysis, Scalability, and Theoretical Insights.
CoRR
Pranav Maneriker, Aditya Vadlamani, Anutam Srinivasan, Yuntian He, Ali Payani, Srinivasan Parthasarathy
2024 J jnl
Beyond Single Concept Vector: Modeling Concept Subspace in LLMs with Gaussian Distribution.
CoRR
Haiyan Zhao, Heng Zhao, Bo Shen, Ali Payani, Fan Yang, Mengnan Du
2024 — conf
CHESSFL: Clustering Hierarchical Embeddings for Semi-Supervised Federated Learning.
IoTDI
Allen-Jasmin Farcas, Myungjin Lee, Ali Payani, Hugo Latapie, Ramana Rao Kompella, Radu Marculescu
2024 J jnl
Can Knowledge Editing Really Correct Hallucinations?
CoRR
Baixiang Huang, Canyu Chen, Xiongxiao Xu, Ali Payani, Kai Shu
2024 — conf
Can LLMs Reason in the Wild with Programs?
EMNLP (Findings)
Yuan Yang, Siheng Xiong, Ali Payani, Ehsan Shareghi, Faramarz Fekri
2024 J jnl
Can LLMs Reason in the Wild with Programs?
CoRR
Yuan Yang, Siheng Xiong, Ali Payani, Ehsan Shareghi, Faramarz Fekri
2024 A conf
Data-Efficient Contrastive Language-Image Pretraining: Prioritizing Data Quality over Quantity.
AISTATS
Siddharth Joshi, Arnav Jain, Ali Payani, Baharan Mirzasoleiman
2024 J jnl
Data-Efficient Contrastive Language-Image Pretraining: Prioritizing Data Quality over Quantity.
CoRR
Siddharth Joshi, Arnav Jain, Ali Payani, Baharan Mirzasoleiman
2024 J jnl
Deliberate Reasoning for LLMs as Structure-aware Planning with Accurate World Model.
CoRR
Siheng Xiong, Ali Payani, Yuan Yang, Faramarz Fekri
2024 B conf
Effective Guidance for Model Attention with Simple Yes-no Annotations.
IEEE Big Data
Seongmin Lee, Ali Payani, Duen Horng (Polo) Chau
2024 J jnl
Effective Guidance for Model Attention with Simple Yes-no Annotations.
CoRR
Seongmin Lee, Ali Payani, Duen Horng Chau
2024 J jnl
Enhancing Group Fairness in Federated Learning through Personalization.
CoRR
Yifan Yang, Ali Payani, Parinaz Naghizadeh
2024 A* conf
Few-shot Adaptation to Distribution Shifts By Mixing Source and Target Embeddings.
ICML
Yihao Xue, Ali Payani, Yu Yang, Baharan Mirzasoleiman
2024 J jnl
Generalization Error Bounds for Learning under Censored Feedback.
CoRR
Yifan Yang, Ali Payani, Parinaz Naghizadeh
2024 — conf
Harnessing the Power of Large Language Models for Natural Language to First-Order Logic Translation.
ACL (1)
Yuan Yang, Siheng Xiong, Ali Payani, Ehsan Shareghi, Faramarz Fekri
2024 J jnl
IFODHD: Improved Feature Selection Based Outlier Detection using Hyperdimensional Computing.
J. Signal Process. Syst.
Wenrui Xu, Evan Krainess, Ali Payani, Hugo Latapie, Keshab K. Parhi
2024 J jnl
LMO-DP: Optimizing the Randomization Mechanism for Differentially Private Fine-Tuning (Large) Language Models.
CoRR
Qin Yang, Meisam Mohammady, Han Wang, Ali Payani, Ashish Kundu, Kai Shu, Yan Yan, Yuan Hong
2024 — conf
Large Language Models Can Learn Temporal Reasoning.
ACL (1)
Siheng Xiong, Ali Payani, Ramana Kompella, Faramarz Fekri
2024 J jnl
Large Language Models Can Learn Temporal Reasoning.
CoRR
Siheng Xiong, Ali Payani, Ramana Kompella, Faramarz Fekri
2024 A* conf
LightPure: Realtime Adversarial Image Purification for Mobile Devices Using Diffusion Models.
MobiCom
Hossein Khalili, Seongbin Park, Vincent Li, Brandan Bright, Ali Payani, Ramana Rao Kompella, Nader Sehatbakhsh
2024 J jnl
LightPure: Realtime Adversarial Image Purification for Mobile Devices Using Diffusion Models.
CoRR
Hossein Khalili, Seongbin Park, Vincent Li, Brandan Bright, Ali Payani, Ramana Rao Kompella, Nader Sehatbakhsh
2024 A* conf
MACM: Utilizing a Multi-Agent System for Condition Mining in Solving Complex Mathematical Problems.
NeurIPS
Bin Lei, Yi Zhang, Shan Zuo, Ali Payani, Caiwen Ding
2024 J jnl
Mitigating Group Bias in Federated Learning: Beyond Local Fairness.
Trans. Mach. Learn. Res.
Ganghua Wang, Ali Payani, Myungjin Lee, Ramana Rao Kompella
2024 A conf
Neural Additive Tensor Decomposition for Sparse Tensors.
CIKM
Dawon Ahn, Uday Singh Saini, Evangelos E. Papalexakis, Ali Payani
2024 J jnl
Not All Federated Learning Algorithms Are Created Equal: A Performance Evaluation Study.
CoRR
Gustav A. Baumgart, Jaemin Shin, Ali Payani, Myungjin Lee, Ramana Rao Kompella
2024 J jnl
ProFL: Performative Robust Optimal Federated Learning.
CoRR
Xue Zheng, Tian Xie, Xuwei Tan, Aylin Yener, Xueru Zhang, Ali Payani, Myungjin Lee
2024 — conf
Prompt Mining for Language Models-based Mobility Flow Forecasting.
SIGSPATIAL/GIS
Hao Xue, Tianye Tang, Ali Payani, Flora D. Salim
2024 J jnl
Prompt Mining for Language-based Human Mobility Forecasting.
CoRR
Hao Xue, Tianye Tang, Ali Payani, Flora D. Salim
2024 J jnl
SketchQL Demonstration: Zero-shot Video Moment Querying with Sketches.
CoRR
Renzhi Wu, Pramod Chunduri, Dristi J. Shah, Ashmitha Julius Aravind, Ali Payani, Xu Chu, Joy Arulraj, Kexin Rong
2024 J jnl
SketchQL Demonstration: Zero-shot Video Moment Querying with Sketches.
Proc. VLDB Endow.
Renzhi Wu, Pramod Chunduri, Dristi J. Shah, Ashmitha Julius Aravind, Ali Payani, Xu Chu, Joy Arulraj, Kexin Rong
2024 J jnl
SketchQL: Video Moment Querying with a Visual Query Interface.
Proc. ACM Manag. Data
Renzhi Wu, Pramod Chunduri, Ali Payani, Xu Chu, Joy Arulraj, Kexin Rong
2024 A* conf
TEILP: Time Prediction over Knowledge Graphs via Logical Reasoning.
AAAI
Siheng Xiong, Yuan Yang, Ali Payani, James Clayton Kerce, Faramarz Fekri
2024 A* conf
Temporal Inductive Logic Reasoning over Hypergraphs.
IJCAI
Yuan Yang, Siheng Xiong, Ali Payani, James Clayton Kerce, Faramarz Fekri
2024 J jnl
Towards Hierarchical Multi-Agent Workflows for Zero-Shot Prompt Optimization.
CoRR
Yuchi Liu, Jaskirat Singh, Gaowen Liu, Ali Payani, Liang Zheng
2024 — conf
When is Tree Search Useful for LLM Planning? It Depends on the Discriminator.
ACL (1)
Ziru Chen, Michael White, Raymond J. Mooney, Ali Payani, Yu Su, Huan Sun
2024 J jnl
When is Tree Search Useful for LLM Planning? It Depends on the Discriminator.
CoRR
Ziru Chen, Michael White, Raymond J. Mooney, Ali Payani, Yu Su, Huan Sun
2023 J jnl
Beyond Detection: Unveiling Fairness Vulnerabilities in Abusive Language Models.
CoRR
Yueqing Liang, Lu Cheng, Ali Payani, Kai Shu
2023 Misc conf
Classifying Functional Brain Graphs Using Graph Hypervector Representation.
ACSSC
Lulu Ge, Ali Payani, Hugo Latapie, Keshab K. Parhi
2023 — conf
EVA: An End-to-End Exploratory Video Analytics System.
DEEM@SIGMOD
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
2023 J jnl
Eliminating Spurious Correlations from Pre-trained Models via Data Mixing.
CoRR
Yihao Xue, Ali Payani, Yu Yang, Baharan Mirzasoleiman
2023 J jnl
Harnessing the Power of Large Language Models for Natural Language to First-Order Logic Translation.
CoRR
Yuan Yang, Siheng Xiong, Ali Payani, Ehsan Shareghi, Faramarz Fekri
2023 J jnl
Investigating the Impact of Weight Sharing Decisions on Knowledge Transfer in Continual Learning.
CoRR
Joshua Andle, Ali Payani, Salimeh Yasaei Sekeh
2023 A* conf
LogicDP: Creating Labels for Graph Data via Inductive Logic Programming.
ICLR
Yuan Yang, Faramarz Fekri, James Clayton Kerce, Ali Payani
2023 J jnl
Mitigating Group Bias in Federated Learning: Beyond Local Fairness.
CoRR
Ganghua Wang, Ali Payani, Myungjin Lee, Ramana Kompella
2023 J jnl
TEILP: Time Prediction over Knowledge Graphs via Logical Reasoning.
CoRR
Siheng Xiong, Yuan Yang, Ali Payani, James Clayton Kerce, Faramarz Fekri
2023 — conf
Text-to-SQL Error Correction with Language Models of Code.
ACL (2)
Ziru Chen, Shijie Chen, Michael White, Raymond J. Mooney, Ali Payani, Jayanth Srinivasa, Yu Su, Huan Sun
2023 J jnl
Text-to-SQL Error Correction with Language Models of Code.
CoRR
Ziru Chen, Shijie Chen, Michael White, Raymond J. Mooney, Ali Payani, Jayanth Srinivasa, Yu Su, Huan Sun
2021 B conf
Predicting Mobile Users Traffic and Access-Time Behavior Using Recurrent Neural Networks.
WCNC
Abdulrahman Alamoudi, Mingliu Liu, Ali Payani, Faramarz Fekri, Deshi Li
2021 C conf
Visual Question Answering based on Formal Logic.
ICMLA
Muralikrishnna G. Sethuraman, Ali Payani, Faramarz Fekri, J. Clayton Kerce
2021 J jnl
Visual Question Answering based on Formal Logic.
CoRR
Muralikrishnna G. Sethuraman, Ali Payani, Faramarz Fekri, J. Clayton Kerce
2020 — —
Differentiable neural logic networks and their application onto inductive logic programming.
Ali Payani
2020 J jnl
Incorporating Relational Background Knowledge into Reinforcement Learning via Differentiable Inductive Logic Programming.
CoRR
Ali Payani, Faramarz Fekri
2019 J jnl
Inductive Logic Programming via Differentiable Deep Neural Logic Networks.
CoRR
Ali Payani, Faramarz Fekri
2019 J jnl
Learning Algorithms via Neural Logic Networks.
CoRR
Ali Payani, Faramarz Fekri
2019 — conf
Unsupervised Learning of Independent Components from a Noisy and Non-Linear Mixture via Variational Autoencoders.
SPAWC
Ali Payani, Faramarz Fekri
2018 J jnl
Advances in Seismic Data Compression via Learning from Data: Compression for Seismic Data Acquisition.
IEEE Signal Process. Mag.
Ali Payani, Afshin Abdi, Xin Tian, Faramarz Fekri, Mohamed A. Mohandes
2018 — conf
Decoding LDPC Codes on Binary Erasure Channels using Deep Recurrent Neural-Logic Layers.
ISTC
Ali Payani, Faramarz Fekri
2017 Misc conf
Learning dictionary for efficient signal compression.
ICASSP
Afshin Abdi, Ali Payani, Faramarz Fekri
2017 B conf
Seismic Data Compression Using Online Double-Sparse Dictionary Learning Schemes.
DCC
Entao Liu, Ali Payani, Faramarz Fekri
2016 — conf
Near optimal representative subset selection from short sequences generated by a stationary source.
SPAWC
Ali Payani, Afshin Abdi, Faramarz Fekri