Soheil Feizi - RankMe

256 papers A* 73A 7B 1Misc 1Journal 150Unranked 24

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Attacker's Noise Can Manipulate Your Audio-based LLM in the Real World. EACL (Volume 1: Long Papers) Vinu Sankar Sadasivan, Soheil Feizi, Rajiv Mathews, Lun Wang
2026	—	`conf`	Decomposition-Enhanced Training for Post-Hoc Attributions in Language Models. EACL (Volume 1: Long Papers) Sriram Balasubramanian, Samyadeep Basu, Koustava Goswami, Ryan Anthony Rossi, Varun Manjunatha, Roshan Santhosh, Ruiyi Zhang, Soheil Feizi, Nedim Lipka
2026	J	`jnl`	Failing to Explore: Language Models on Interactive Tasks. CoRR Mahdi JafariRaviz, Keivan Rezaei, Arshia Soltani Moakhar, Zahra Sodagar, Yize Cheng, Soheil Feizi
2025	—	`conf`	A Closer Look at Bias and Chain-of-Thought Faithfulness of Large (Vision) Language Models. EMNLP (Findings) Sriram Balasubramanian, Samyadeep Basu, Soheil Feizi
2025	J	`jnl`	A Closer Look at Bias and Chain-of-Thought Faithfulness of Large (Vision) Language Models. CoRR Sriram Balasubramanian, Samyadeep Basu, Soheil Feizi
2025	J	`jnl`	A Survey on Mechanistic Interpretability for Multi-Modal Foundation Models. CoRR Zihao Lin, Samyadeep Basu, Mohammad Beigi, Varun Manjunatha, Ryan A. Rossi, Zichao Wang, Yufan Zhou, Sriram Balasubramanian, Arman Zarei, Keivan Rezaei, Ying Shen, Barry Menglong Yao, Zhiyang Xu, Qin Liu, Yuxiang Zhang, Yan Sun, Shilong Liu, Li Shen, Hongxuan Li, Soheil Feizi, Lifu Huang
2025	J	`jnl`	Adversarial Paraphrasing: A Universal Attack for Humanizing AI-Generated Text. CoRR Yize Cheng, Vinu Sankar Sadasivan, Mehrdad Saberi, Shoumik Saha, Soheil Feizi
2025	J	`jnl`	AgentComp: From Agentic Reasoning to Compositional Mastery in Text-to-Image Models. CoRR Arman Zarei, Jiacheng Pan, Matthew Gwilliam, Soheil Feizi, Zhenheng Yang
2025	—	`conf`	Almost AI, Almost Human: The Challenge of Detecting AI-Polished Writing. ACL (Findings) Shoumik Saha, Soheil Feizi
2025	J	`jnl`	Almost AI, Almost Human: The Challenge of Detecting AI-Polished Writing. CoRR Shoumik Saha, Soheil Feizi
2025	J	`jnl`	Attacker's Noise Can Manipulate Your Audio-based LLM in the Real World. CoRR Vinu Sankar Sadasivan, Soheil Feizi, Rajiv Mathews, Lun Wang
2025	J	`jnl`	Can AI-Generated Text be Reliably Detected? Stress Testing AI Text Detectors Under Various Attacks. Trans. Mach. Learn. Res. Vinu Sankar Sadasivan, Aounon Kumar, Sriram Balasubramanian, Wenxiao Wang, Soheil Feizi
2025	J	`jnl`	Chain-of-Defensive-Thought: Structured Reasoning Elicits Robustness in Large Language Models against Reference Corruption. CoRR Wenxiao Wang, Parsa Hosseini, Soheil Feizi
2025	J	`jnl`	Decomposition-Enhanced Training for Post-Hoc Attributions In Language Models. CoRR Sriram Balasubramaniam, Samyadeep Basu, Koustava Goswami, Ryan A. Rossi, Varun Manjunatha, Roshan Santhosh, Ruiyi Zhang, Soheil Feizi, Nedim Lipka
2025	A*	`conf`	DyePack: Provably Flagging Test Set Contamination in LLMs Using Backdoors. EMNLP Yize Cheng, Wenxiao Wang, Mazda Moayeri, Soheil Feizi
2025	J	`jnl`	DyePack: Provably Flagging Test Set Contamination in LLMs Using Backdoors. CoRR Yize Cheng, Wenxiao Wang, Mazda Moayeri, Soheil Feizi
2025	J	`jnl`	GHOST: Hallucination-Inducing Image Generation for Multimodal LLMs. CoRR Aryan Yazdan Parast, Parsa Hosseini, Hesam Asadollahzadeh, Arshia Soltani Moakhar, Basim Azam, Soheil Feizi, Naveed Akhtar
2025	J	`jnl`	Gaming Tool Preferences in Agentic LLMs. CoRR Kazem Faghih, Wenxiao Wang, Yize Cheng, Siddhant Bharti, Gaurang Sriramanan, Sriram Balasubramanian, Parsa Hosseini, Soheil Feizi
2025	A*	`conf`	How Learnable Grids Recover Fine Detail in Low Dimensions: A Neural Tangent Kernel Analysis of Multigrid Parametric Encodings. ICLR Samuel Audia, Soheil Feizi, Matthias Zwicker, Dinesh Manocha
2025	J	`jnl`	How Learnable Grids Recover Fine Detail in Low Dimensions: A Neural Tangent Kernel Analysis of Multigrid Parametric Encodings. CoRR Samuel Audia, Soheil Feizi, Matthias Zwicker, Dinesh Manocha
2025	J	`jnl`	IConMark: Robust Interpretable Concept-Based Watermark For AI Images. CoRR Vinu Sankar Sadasivan, Mehrdad Saberi, Soheil Feizi
2025	J	`jnl`	Localizing Knowledge in Diffusion Transformers. CoRR Arman Zarei, Samyadeep Basu, Keivan Rezaei, Zihao Lin, Sayan Nag, Soheil Feizi
2025	J	`jnl`	Maestro: Joint Graph & Config Optimization for Reliable AI Agents. CoRR Wenxiao Wang, Priyatham Kattakinda, Soheil Feizi
2025	—	`conf`	Mitigating Compositional Failures in Text-to-Image Models with Causal Text Embedding Refinement. PerCom Workshops Arman Zarei, Keivan Rezaei, Samyadeep Basu, Mehrdad Saberi, Mazda Moayeri, Priyatham Kattakinda, Adrienne Raglin, Anjon Basak, Soheil Feizi
2025	J	`jnl`	Model State Arithmetic for Machine Unlearning. CoRR Keivan Rezaei, Mehrdad Saberi, Abhilasha Ravichander, Soheil Feizi
2025	J	`jnl`	On Mechanistic Circuits for Extractive Question-Answering. CoRR Samyadeep Basu, Vlad I. Morariu, Zichao Wang, Ryan A. Rossi, Cherry Zhao, Soheil Feizi, Varun Manjunatha
2025	J	`jnl`	RESTOR: Knowledge Recovery in Machine Unlearning. Trans. Mach. Learn. Res. Keivan Rezaei, Khyathi Raghavi Chandu, Soheil Feizi, Yejin Choi, Faeze Brahman, Abhilasha Ravichander
2025	—	`conf`	RePanda: Pandas-powered Tabular Verification and Reasoning. ACL (1) Atoosa Malemir Chegini, Keivan Rezaei, Hamid Eghbalzadeh, Soheil Feizi
2025	J	`jnl`	RePanda: Pandas-powered Tabular Verification and Reasoning. CoRR Atoosa Malemir Chegini, Keivan Rezaei, Hamid Eghbalzadeh, Soheil Feizi
2025	J	`jnl`	Reasoning Under Uncertainty: Exploring Probabilistic Reasoning Capabilities of LLMs. CoRR Mobina Pournemat, Keivan Rezaei, Gaurang Sriramanan, Arman Zarei, Jiaxiang Fu, Yang Wang, Hamid Eghbalzadeh, Soheil Feizi
2025	A*	`conf`	Rethinking Artistic Copyright Infringements In the Era Of Text-to-Image Generative Models. ICLR Mazda Moayeri, Sriram Balasubramanian, Samyadeep Basu, Priyatham Kattakinda, Atoosa Malemir Chegini, Robert Brauneis, Soheil Feizi
2025	J	`jnl`	Schoenfeld's Anatomy of Mathematical Reasoning by Language Models. CoRR Ming Li, Chenrui Fan, Yize Cheng, Soheil Feizi, Tianyi Zhou
2025	J	`jnl`	Seeing What's Not There: Spurious Correlation in Multimodal LLMs. CoRR Parsa Hosseini, Sumit Nawathe, Mazda Moayeri, Sriram Balasubramanian, Soheil Feizi
2025	J	`jnl`	SliderEdit: Continuous Image Editing with Fine-Grained Instruction Control. CoRR Arman Zarei, Samyadeep Basu, Mobina Pournemat, Sayan Nag, Ryan A. Rossi, Soheil Feizi
2025	J	`jnl`	Temporal Blindness in Multi-Turn LLM Agents: Misaligned Tool Use vs. Human Time Perception. CoRR Yize Cheng, Arshia Soltani Moakhar, Chenrui Fan, Kazem Faghih, Parsa Hosseini, Wenxiao Wang, Soheil Feizi
2025	A*	`conf`	Tool Preferences in Agentic LLMs are Unreliable. EMNLP Kazem Faghih, Wenxiao Wang, Yize Cheng, Siddhant Bharti, Gaurang Sriramanan, Sriram Balasubramanian, Parsa Hosseini, Soheil Feizi
2025	—	`conf`	Understanding the Effect of using Semantically Meaningful Tokens for Visual Representation Learning. CVPR Workshops Neha Mukund Kalibhat, Priyatham Kattakinda, Sumit Nawathe, Arman Zarei, Nikita Seleznev, Samuel Sharpe, Senthil Kumar, Soheil Feizi
2025	A*	`conf`	Unearthing Skill-level Insights for Understanding Trade-offs of Foundation Models. ICLR Mazda Moayeri, Vidhisha Balachandran, Varun Chandrasekaran, Safoora Yousefi, Thomas Fel, Soheil Feizi, Besmira Nushi, Neel Joshi, Vibhav Vineet
2024	J	`jnl`	DREW : Towards Robust Data Provenance by Leveraging Error-Controlled Watermarking. CoRR Mehrdad Saberi, Vinu Sankar Sadasivan, Arman Zarei, Hessam Mahdavifar, Soheil Feizi
2024	A*	`conf`	DRSM: De-Randomized Smoothing on Malware Classifier Providing Certified Robustness. ICLR Shoumik Saha, Wenxiao Wang, Yigitcan Kaya, Soheil Feizi, Tudor Dumitras
2024	A	`conf`	Data-Centric Debugging: mitigating model failures via targeted image retrieval. WACV Sahil Singla, Atoosa Malemir Chegini, Mazda Moayeri, Soheil Feizi
2024	A*	`conf`	Decomposing and Interpreting Image Representations via Text in ViTs Beyond CLIP. NeurIPS Sriram Balasubramanian, Samyadeep Basu, Soheil Feizi
2024	J	`jnl`	Decomposing and Interpreting Image Representations via Text in ViTs Beyond CLIP. CoRR Sriram Balasubramanian, Samyadeep Basu, Soheil Feizi
2024	A*	`conf`	Distilling Knowledge from Text-to-Image Generative Models Improves Visio-Linguistic Reasoning in CLIP. EMNLP Samyadeep Basu, Shell Xu Hu, Maziar Sanjabi, Daniela Massiceti, Soheil Feizi
2024	J	`jnl`	Endor: Hardware-Friendly Sparse Format for Offloaded LLM Inference. CoRR Donghyeon Joo, Ramyad Hadidi, Soheil Feizi, Bahar Asgari
2024	A*	`conf`	Fast Adversarial Attacks on Language Models In One GPU Minute. ICML Vinu Sankar Sadasivan, Shoumik Saha, Gaurang Sriramanan, Priyatham Kattakinda, Atoosa Malemir Chegini, Soheil Feizi
2024	J	`jnl`	Fast Adversarial Attacks on Language Models In One GPU Minute. CoRR Vinu Sankar Sadasivan, Shoumik Saha, Gaurang Sriramanan, Priyatham Kattakinda, Atoosa Malemir Chegini, Soheil Feizi
2024	A*	`conf`	IntCoOp: Interpretability-Aware Vision-Language Prompt Tuning. EMNLP Soumya Suvra Ghosal, Samyadeep Basu, Soheil Feizi, Dinesh Manocha
2024	J	`jnl`	IntCoOp: Interpretability-Aware Vision-Language Prompt Tuning. CoRR Soumya Suvra Ghosal, Samyadeep Basu, Soheil Feizi, Dinesh Manocha
2024	A*	`conf`	LLM-Check: Investigating Detection of Hallucinations in Large Language Models. NeurIPS Gaurang Sriramanan, Siddhant Bharti, Vinu Sankar Sadasivan, Shoumik Saha, Priyatham Kattakinda, Soheil Feizi
2024	A*	`conf`	Localizing and Editing Knowledge In Text-to-Image Generative Models. ICLR Samyadeep Basu, Nanxuan Zhao, Vlad I. Morariu, Soheil Feizi, Varun Manjunatha
2024	J	`jnl`	Loki: Low-Rank Keys for Efficient Sparse Attention. CoRR Prajwal Singhania, Siddharth Singh, Shwai He, Soheil Feizi, Abhinav Bhatele
2024	A*	`conf`	Loki: Low-rank Keys for Efficient Sparse Attention. NeurIPS Prajwal Singhania, Siddharth Singh, Shwai He, Soheil Feizi, Abhinav Bhatele
2024	A*	`conf`	Measuring Self-Supervised Representation Quality for Downstream Classification Using Discriminative Features. AAAI Neha Mukund Kalibhat, Kanika Narang, Hamed Firooz, Maziar Sanjabi, Soheil Feizi
2024	A*	`conf`	On Mechanistic Knowledge Localization in Text-to-Image Generative Models. ICML Samyadeep Basu, Keivan Rezaei, Priyatham Kattakinda, Vlad I. Morariu, Nanxuan Zhao, Ryan A. Rossi, Varun Manjunatha, Soheil Feizi
2024	J	`jnl`	On Mechanistic Knowledge Localization in Text-to-Image Generative Models. CoRR Samyadeep Basu, Keivan Rezaei, Priyatham Kattakinda, Ryan A. Rossi, Cherry Zhao, Vlad I. Morariu, Varun Manjunatha, Soheil Feizi
2024	A*	`conf`	PRIME: Prioritizing Interpretability in Failure Mode Extraction. ICLR Keivan Rezaei, Mehrdad Saberi, Mazda Moayeri, Soheil Feizi
2024	J	`jnl`	RESTOR: Knowledge Recovery through Machine Unlearning. CoRR Keivan Rezaei, Khyathi Raghavi Chandu, Soheil Feizi, Yejin Choi, Faeze Brahman, Abhilasha Ravichander
2024	J	`jnl`	Rethinking Artistic Copyright Infringements in the Era of Text-to-Image Generative Models. CoRR Mazda Moayeri, Samyadeep Basu, Sriram Balasubramanian, Priyatham Kattakinda, Atoosa Malemir Chegini, Robert Brauneis, Soheil Feizi
2024	A*	`conf`	Robustness of AI-Image Detectors: Fundamental Limits and Practical Attacks. ICLR Mehrdad Saberi, Vinu Sankar Sadasivan, Keivan Rezaei, Aounon Kumar, Atoosa Malemir Chegini, Wenxiao Wang, Soheil Feizi
2024	J	`jnl`	Securing the Future of GenAI: Policy and Technology. CoRR Mihai Christodorescu, Ryan Craven, Soheil Feizi, Neil Gong, Mia Hoffmann, Somesh Jha, Zhengyuan Jiang, Mehrdad Saberi Kamarposhti, John C. Mitchell, Jessica Newman, Emelia Probasco, Yanjun Qi, Khawaja Shams, Matthew Turek
2024	J	`jnl`	Securing the Future of GenAI: Policy and Technology. IACR Cryptol. ePrint Arch. Mihai Christodorescu, Ryan Craven, Soheil Feizi, Neil Zhenqiang Gong, Mia Hoffmann, Somesh Jha, Zhengyuan Jiang, Mehrdad Saberi Kamarposhti, John C. Mitchell, Jessica Newman, Emelia Probasco, Yanjun Qi, Khawaja Shams, Matthew Turek
2024	A*	`conf`	Strong Baselines for Parameter-Efficient Few-Shot Fine-Tuning. AAAI Samyadeep Basu, Shell Xu Hu, Daniela Massiceti, Soheil Feizi
2024	A*	`conf`	Understanding Information Storage and Transfer in Multi-Modal Large Language Models. NeurIPS Samyadeep Basu, Martin Grayson, Cecily Morrison, Besmira Nushi, Soheil Feizi, Daniela Massiceti
2024	J	`jnl`	Understanding Information Storage and Transfer in Multi-modal Large Language Models. CoRR Samyadeep Basu, Martin Grayson, Cecily Morrison, Besmira Nushi, Soheil Feizi, Daniela Massiceti
2024	J	`jnl`	Understanding and Mitigating Compositional Issues in Text-to-Image Generative Models. CoRR Arman Zarei, Keivan Rezaei, Samyadeep Basu, Mehrdad Saberi, Mazda Moayeri, Priyatham Kattakinda, Soheil Feizi
2024	J	`jnl`	Understanding the Effect of using Semantically Meaningful Tokens for Visual Representation Learning. CoRR Neha Mukund Kalibhat, Priyatham Kattakinda, Arman Zarei, Nikita Seleznev, Samuel Sharpe, Senthil Kumar, Soheil Feizi
2024	J	`jnl`	Unearthing Skill-Level Insights for Understanding Trade-Offs of Foundation Models. CoRR Mazda Moayeri, Vidhisha Balachandran, Varun Chandrasekaran, Safoora Yousefi, Thomas Fel, Soheil Feizi, Besmira Nushi, Neel Joshi, Vibhav Vineet
2024	J	`jnl`	What do we learn from inverting CLIP models? CoRR Hamid Kazemi, Atoosa Malemir Chegini, Jonas Geiping, Soheil Feizi, Tom Goldstein
2024	—	`conf`	WorldBench: Quantifying Geographic Disparities in LLM Factual Recall. FAccT Mazda Moayeri, Elham Tabassi, Soheil Feizi
2023	A	`conf`	Adapting Self-Supervised Representations to Multi-Domain Setups. BMVC Neha Mukund Kalibhat, Samuel Sharpe, Jeremy Goodsitt, C. Bayan Bruss, Soheil Feizi
2023	J	`jnl`	Adapting Self-Supervised Representations to Multi-Domain Setups. CoRR Neha Mukund Kalibhat, Samuel Sharpe, Jeremy Goodsitt, C. Bayan Bruss, Soheil Feizi
2023	J	`jnl`	Adversarial Robustness of Learning-based Static Malware Classifiers. CoRR Shoumik Saha, Wenxiao Wang, Yigitcan Kaya, Soheil Feizi
2023	J	`jnl`	Augmenting CLIP with Improved Visio-Linguistic Reasoning. CoRR Samyadeep Basu, Maziar Sanjabi, Daniela Massiceti, Shell Xu Hu, Soheil Feizi
2023	A*	`conf`	CUDA: Convolution-Based Unlearnable Datasets. CVPR Vinu Sankar Sadasivan, Mahdi Soltanolkotabi, Soheil Feizi
2023	J	`jnl`	CUDA: Convolution-based Unlearnable Datasets. CoRR Vinu Sankar Sadasivan, Mahdi Soltanolkotabi, Soheil Feizi
2023	J	`jnl`	Can AI-Generated Text be Reliably Detected? CoRR Vinu Sankar Sadasivan, Aounon Kumar, Sriram Balasubramanian, Wenxiao Wang, Soheil Feizi
2023	A*	`conf`	Certifiably Robust Policy Learning against Adversarial Multi-Agent Communication. ICLR Yanchao Sun, Ruijie Zheng, Parisa Hassanzadeh, Yongyuan Liang, Soheil Feizi, Sumitra Ganesh, Furong Huang
2023	J	`jnl`	Certifying LLM Safety against Adversarial Prompting. CoRR Aounon Kumar, Chirag Agarwal, Suraj Srinivas, Soheil Feizi, Hima Lakkaraju
2023	A*	`conf`	Diffused Redundancy in Pre-trained Representations. NeurIPS Vedant Nanda, Till Speicher, John P. Dickerson, Krishna P. Gummadi, Soheil Feizi, Adrian Weller
2023	J	`jnl`	Diffused Redundancy in Pre-trained Representations. CoRR Vedant Nanda, Till Speicher, John P. Dickerson, Soheil Feizi, Krishna P. Gummadi, Adrian Weller
2023	J	`jnl`	EditVal: Benchmarking Diffusion Based Text-Guided Image Editing Methods. CoRR Samyadeep Basu, Mehrdad Saberi, Shweta Bhardwaj, Atoosa Malemir Chegini, Daniela Massiceti, Maziar Sanjabi, Shell Xu Hu, Soheil Feizi
2023	J	`jnl`	Exploring Geometry of Blind Spots in Vision Models. CoRR Sriram Balasubramanian, Gaurang Sriramanan, Vinu Sankar Sadasivan, Soheil Feizi
2023	A*	`conf`	Exploring Geometry of Blind Spots in Vision models. NeurIPS Sriram Balasubramanian, Gaurang Sriramanan, Vinu Sankar Sadasivan, Soheil Feizi
2023	A*	`conf`	Goal-Conditioned Q-learning as Knowledge Distillation. AAAI Alexander Levine, Soheil Feizi
2023	A*	`conf`	Hard-Meta-Dataset++: Towards Understanding Few-Shot Performance on Difficult Tasks. ICLR Samyadeep Basu, Megan Stanley, John Bronskill, Soheil Feizi, Daniela Massiceti
2023	A*	`conf`	Identifying Interpretable Subspaces in Image Representations. ICML Neha Mukund Kalibhat, Shweta Bhardwaj, C. Bayan Bruss, Hamed Firooz, Maziar Sanjabi, Soheil Feizi
2023	J	`jnl`	Identifying Interpretable Subspaces in Image Representations. CoRR Neha Mukund Kalibhat, Shweta Bhardwaj, C. Bayan Bruss, Hamed Firooz, Maziar Sanjabi, Soheil Feizi
2023	J	`jnl`	Identifying and Mitigating Model Failures through Few-shot CLIP-aided Diffusion Generation. CoRR Atoosa Malemir Chegini, Soheil Feizi
2023	J	`jnl`	Identifying and Mitigating the Security Risks of Generative AI. CoRR Clark W. Barrett, Brad Boyd, Ellie Burzstein, Nicholas Carlini, Brad Chen, Jihye Choi, Amrita Roy Chowdhury, Mihai Christodorescu, Anupam Datta, Soheil Feizi, Kathleen Fisher, Tatsunori Hashimoto, Dan Hendrycks, Somesh Jha, Daniel Kang, Florian Kerschbaum, Eric Mitchell, John C. Mitchell, Zulfikar Ramzan, Khawaja Shams, Dawn Song, Ankur Taly, Diyi Yang
2023	J	`jnl`	Identifying and Mitigating the Security Risks of Generative AI. Found. Trends Priv. Secur. Clark W. Barrett, Brad Boyd, Elie Bursztein, Nicholas Carlini, Brad Chen, Jihye Choi, Amrita Roy Chowdhury, Mihai Christodorescu, Anupam Datta, Soheil Feizi, Kathleen Fisher, Tatsunori Hashimoto, Dan Hendrycks, Somesh Jha, Daniel Kang, Florian Kerschbaum, Eric Mitchell, John C. Mitchell, Zulfikar Ramzan, Khawaja Shams, Dawn Song, Ankur Taly, Diyi Yang
2023	J	`jnl`	Instruct2Attack: Language-Guided Semantic Adversarial Attacks. CoRR Jiang Liu, Chen Wei, Yuxiang Guo, Heng Yu, Alan L. Yuille, Soheil Feizi, Chun Pong Lau, Rama Chellappa
2023	J	`jnl`	Interpolated Joint Space Adversarial Training for Robust and Generalizable Defenses. IEEE Trans. Pattern Anal. Mach. Intell. Chun Pong Lau, Jiang Liu, Hossein Souri, Wei-An Lin, Soheil Feizi, Rama Chellappa
2023	J	`jnl`	Interpretable Mixture of Experts. Trans. Mach. Learn. Res. Aya Abdelsalam Ismail, Sercan Ö. Arik, Jinsung Yoon, Ankur Taly, Soheil Feizi, Tomas Pfister
2023	J	`jnl`	Localizing and Editing Knowledge in Text-to-Image Generative Models. CoRR Samyadeep Basu, Nanxuan Zhao, Vlad I. Morariu, Soheil Feizi, Varun Manjunatha
2023	J	`jnl`	On Practical Aspects of Aggregation Defenses against Data Poisoning Attacks. CoRR Wenxiao Wang, Soheil Feizi
2023	J	`jnl`	Online Advertisements with LLMs: Opportunities and Challenges. CoRR Soheil Feizi, MohammadTaghi Hajiaghayi, Keivan Rezaei, Suho Shin
2023	J	`jnl`	PRIME: Prioritizing Interpretability in Failure Mode Extraction. CoRR Keivan Rezaei, Mehrdad Saberi, Mazda Moayeri, Soheil Feizi
2023	A*	`conf`	Provable Robustness against Wasserstein Distribution Shifts via Input Randomization. ICLR Aounon Kumar, Alexander Levine, Tom Goldstein, Soheil Feizi
2023	J	`jnl`	Provable Robustness for Streaming Models with a Sliding Window. CoRR Aounon Kumar, Vinu Sankar Sadasivan, Soheil Feizi
2023	J	`jnl`	Robustness of AI-Image Detectors: Fundamental Limits and Practical Attacks. CoRR Mehrdad Saberi, Vinu Sankar Sadasivan, Keivan Rezaei, Aounon Kumar, Atoosa Malemir Chegini, Wenxiao Wang, Soheil Feizi
2023	J	`jnl`	Run-Off Election: Improved Provable Defense against Data Poisoning Attacks. CoRR Keivan Rezaei, Kiarash Banihashem, Atoosa Malemir Chegini, Soheil Feizi
2023	A*	`conf`	Run-off Election: Improved Provable Defense against Data Poisoning Attacks. ICML Keivan Rezaei, Kiarash Banihashem, Atoosa Malemir Chegini, Soheil Feizi
2023	A*	`conf`	Spuriosity Rankings: Sorting Data to Measure and Mitigate Biases. NeurIPS Mazda Moayeri, Wenxiao Wang, Sahil Singla, Soheil Feizi
2023	J	`jnl`	Strong Baselines for Parameter Efficient Few-Shot Fine-tuning. CoRR Samyadeep Basu, Daniela Massiceti, Shell Xu Hu, Soheil Feizi
2023	J	`jnl`	Temporal Robustness against Data Poisoning. CoRR Wenxiao Wang, Soheil Feizi
2023	A*	`conf`	Temporal Robustness against Data poisoning. NeurIPS Wenxiao Wang, Soheil Feizi
2023	A*	`conf`	Text-To-Concept (and Back) via Cross-Model Alignment. ICML Mazda Moayeri, Keivan Rezaei, Maziar Sanjabi, Soheil Feizi
2023	J	`jnl`	Text-To-Concept (and Back) via Cross-Model Alignment. CoRR Mazda Moayeri, Keivan Rezaei, Maziar Sanjabi, Soheil Feizi
2023	—	`conf`	Text2Concept: Concept Activation Vectors Directly From Text. XAI4CV Mazda Moayeri, Keivan Rezaei, Maziar Sanjabi, Soheil Feizi
2023	—	`conf`	Text2Concept: Concept Activation Vectors Directly from Text. CVPR Workshops Mazda Moayeri, Keivan Rezaei, Maziar Sanjabi, Soheil Feizi
2023	A*	`conf`	Towards Improved Input Masking for Convolutional Neural Networks. ICCV Sriram Balasubramanian, Soheil Feizi
2022	A*	`conf`	A Comprehensive Study of Image Classification Model Sensitivity to Foregrounds, Backgrounds, and Visual Attributes. CVPR Mazda Moayeri, Phillip Pope, Yogesh Balaji, Soheil Feizi
2022	J	`jnl`	A Comprehensive Study of Image Classification Model Sensitivity to Foregrounds, Backgrounds, and Visual Attributes. CoRR Mazda Moayeri, Phillip Pope, Yogesh Balaji, Soheil Feizi
2022	J	`jnl`	Certifiably Robust Policy Learning against Adversarial Communication in Multi-agent Systems. CoRR Yanchao Sun, Ruijie Zheng, Parisa Hassanzadeh, Yongyuan Liang, Soheil Feizi, Sumitra Ganesh, Furong Huang
2022	J	`jnl`	Certifying Model Accuracy under Distribution Shifts. CoRR Aounon Kumar, Alexander Levine, Tom Goldstein, Soheil Feizi
2022	J	`jnl`	Core Risk Minimization using Salient ImageNet. CoRR Sahil Singla, Mazda Moayeri, Soheil Feizi
2022	J	`jnl`	Data-Centric Debugging: mitigating model failures via targeted data collection. CoRR Sahil Singla, Atoosa Malemir Chegini, Mazda Moayeri, Soheil Feizi
2022	A*	`conf`	Explicit Tradeoffs between Adversarial and Natural Distributional Robustness. NeurIPS Mazda Moayeri, Kiarash Banihashem, Soheil Feizi
2022	J	`jnl`	Explicit Tradeoffs between Adversarial and Natural Distributional Robustness. CoRR Mazda Moayeri, Kiarash Banihashem, Soheil Feizi
2022	A*	`conf`	FOCUS: Familiar Objects in Common and Uncommon Settings. ICML Priyatham Kattakinda, Soheil Feizi
2022	J	`jnl`	Goal-Conditioned Q-Learning as Knowledge Distillation. CoRR Alexander Levine, Soheil Feizi
2022	A*	`conf`	Hard ImageNet: Segmentations for Objects with Strong Spurious Cues. NeurIPS Mazda Moayeri, Sahil Singla, Soheil Feizi
2022	A*	`conf`	Improved Certified Defenses against Data Poisoning with (Deterministic) Finite Aggregation. ICML Wenxiao Wang, Alexander Levine, Soheil Feizi
2022	J	`jnl`	Improved Certified Defenses against Data Poisoning with (Deterministic) Finite Aggregation. CoRR Wenxiao Wang, Alexander Levine, Soheil Feizi
2022	A*	`conf`	Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100. ICLR Sahil Singla, Surbhi Singla, Soheil Feizi
2022	A*	`conf`	Improved techniques for deterministic l2 robustness. NeurIPS Sahil Singla, Soheil Feizi
2022	J	`jnl`	Improved techniques for deterministic l2 robustness. CoRR Sahil Singla, Soheil Feizi
2022	J	`jnl`	Interpretable Mixture of Experts for Structured Data. CoRR Aya Abdelsalam Ismail, Sercan Ö. Arik, Jinsung Yoon, Ankur Taly, Soheil Feizi, Tomas Pfister
2022	J	`jnl`	Invariant Learning via Diffusion Dreamed Distribution Shifts. CoRR Priyatham Kattakinda, Alexander Levine, Soheil Feizi
2022	A*	`conf`	Lethal Dose Conjecture on Data Poisoning. NeurIPS Wenxiao Wang, Alexander Levine, Soheil Feizi
2022	J	`jnl`	Lethal Dose Conjecture on Data Poisoning. CoRR Wenxiao Wang, Alexander Levine, Soheil Feizi
2022	J	`jnl`	Mutual Adversarial Training: Learning Together is Better Than Going Alone. IEEE Trans. Inf. Forensics Secur. Jiang Liu, Chun Pong Lau, Hossein Souri, Soheil Feizi, Rama Chellappa
2022	A*	`conf`	Policy Smoothing for Provably Robust Reinforcement Learning. ICLR Aounon Kumar, Alexander Levine, Soheil Feizi
2022	A	`conf`	Provable Adversarial Robustness for Fractional Lp Threat Models. AISTATS Alexander Levine, Soheil Feizi
2022	J	`jnl`	Provable Adversarial Robustness for Fractional Lp Threat Models. CoRR Alexander Levine, Soheil Feizi
2022	A*	`conf`	Salient ImageNet: How to discover spurious features in Deep Learning? ICLR Sahil Singla, Soheil Feizi
2022	A*	`conf`	Segment and Complete: Defending Object Detectors against Adversarial Patch Attacks with Robust Patch Detection. CVPR Jiang Liu, Alexander Levine, Chun Pong Lau, Rama Chellappa, Soheil Feizi
2022	J	`jnl`	Spuriosity Rankings: Sorting Data for Spurious Correlation Robustness. CoRR Mazda Moayeri, Wenxiao Wang, Sahil Singla, Soheil Feizi
2022	A*	`conf`	Toward Efficient Robust Training against Union of $\ell_p$ Threat Models. NeurIPS Gaurang Sriramanan, Maharshi Gor, Soheil Feizi
2022	J	`jnl`	Towards Better Input Masking for Convolutional Neural Networks. CoRR Sriram Balasubramanian, Soheil Feizi
2022	J	`jnl`	Understanding Failure Modes of Self-Supervised Learning. CoRR Neha Mukund Kalibhat, Kanika Narang, Liang Tan, Hamed Firooz, Maziar Sanjabi, Soheil Feizi
2021	J	`jnl`	Causal ImageNet: How to discover spurious features in Deep Learning? CoRR Sahil Singla, Soheil Feizi
2021	A*	`conf`	Deep Partition Aggregation: Provable Defenses against General Poisoning Attacks. ICLR Alexander Levine, Soheil Feizi
2021	J	`jnl`	FOCUS: Familiar Objects in Common and Uncommon Settings. CoRR Priyatham Kattakinda, Soheil Feizi
2021	—	`conf`	Fairness Through Robustness: Investigating Robustness Disparity in Deep Learning. FAccT Vedant Nanda, Samuel Dooley, Sahil Singla, Soheil Feizi, John P. Dickerson
2021	A*	`conf`	Fantastic Four: Differentiable and Efficient Bounds on Singular Values of Convolution Layers. ICLR Sahil Singla, Soheil Feizi
2021	A	`conf`	GANs with Conditional Independence Graphs: On Subadditivity of Probability Divergences. AISTATS Mucong Ding, Constantinos Daskalakis, Soheil Feizi
2021	J	`jnl`	Householder Activations for Provable Robustness against Adversarial Attacks. CoRR Sahil Singla, Surbhi Singla, Soheil Feizi
2021	A*	`conf`	Improved, Deterministic Smoothing for L ICML Alexander Levine, Soheil Feizi
2021	J	`jnl`	Improved, Deterministic Smoothing for L1 Certified Robustness. CoRR Alexander Levine, Soheil Feizi
2021	A*	`conf`	Improving Deep Learning Interpretability by Saliency Guided Training. NeurIPS Aya Abdelsalam Ismail, Héctor Corrada Bravo, Soheil Feizi
2021	J	`jnl`	Improving Deep Learning Interpretability by Saliency Guided Training. CoRR Aya Abdelsalam Ismail, Héctor Corrada Bravo, Soheil Feizi
2021	A*	`conf`	Influence Functions in Deep Learning Are Fragile. ICLR Samyadeep Basu, Phillip Pope, Soheil Feizi
2021	J	`jnl`	Interpolated Joint Space Adversarial Training for Robust and Generalizable Defenses. CoRR Chun Pong Lau, Jiang Liu, Hossein Souri, Wei-An Lin, Soheil Feizi, Rama Chellappa
2021	A*	`conf`	Low Curvature Activations Reduce Overfitting in Adversarial Training. ICCV Vasu Singla, Sahil Singla, Soheil Feizi, David Jacobs
2021	J	`jnl`	Low Curvature Activations Reduce Overfitting in Adversarial Training. CoRR Vasu Singla, Sahil Singla, David Jacobs, Soheil Feizi
2021	J	`jnl`	Mutual Adversarial Training: Learning together is better than going alone. CoRR Jiang Liu, Chun Pong Lau, Hossein Souri, Soheil Feizi, Rama Chellappa
2021	J	`jnl`	On Hard Episodes in Meta-Learning. CoRR Samyadeep Basu, Amr Sharaf, Nicolò Fusi, Soheil Feizi
2021	A*	`conf`	Perceptual Adversarial Robustness: Defense Against Unseen Threat Models. ICLR Cassidy Laidlaw, Sahil Singla, Soheil Feizi
2021	J	`jnl`	Policy Smoothing for Provably Robust Reinforcement Learning. CoRR Aounon Kumar, Alexander Levine, Soheil Feizi
2021	A*	`conf`	Sample Efficient Detection and Classification of Adversarial Attacks via Self-Supervised Embeddings. ICCV Mazda Moayeri, Soheil Feizi
2021	J	`jnl`	Sample Efficient Detection and Classification of Adversarial Attacks via Self-Supervised Embeddings. CoRR Mazda Moayeri, Soheil Feizi
2021	J	`jnl`	Segment and Complete: Defending Object Detectors against Adversarial Patch Attacks with Robust Patch Detection. CoRR Jiang Liu, Alexander Levine, Chun Pong Lau, Rama Chellappa, Soheil Feizi
2021	A*	`conf`	Skew Orthogonal Convolutions. ICML Sahil Singla, Soheil Feizi
2021	J	`jnl`	Skew Orthogonal Convolutions. CoRR Sahil Singla, Soheil Feizi
2021	A*	`conf`	Understanding Over-parameterization in Generative Adversarial Networks. ICLR Yogesh Balaji, Mohammadmahdi Sajedi, Neha Mukund Kalibhat, Mucong Ding, Dominik Stöger, Mahdi Soltanolkotabi, Soheil Feizi
2021	J	`jnl`	Understanding Overparameterization in Generative Adversarial Networks. CoRR Yogesh Balaji, Mohammadmahdi Sajedi, Neha Mukund Kalibhat, Mucong Ding, Dominik Stöger, Mahdi Soltanolkotabi, Soheil Feizi
2021	A	`conf`	Unsupervised anomaly detection with adversarial mirrored autoencoders. UAI Gowthami Somepalli, Yexin Wu, Yogesh Balaji, Bhanukiran Vinzamuri, Soheil Feizi
2021	A*	`conf`	Winning Lottery Tickets in Deep Generative Models. AAAI Neha Mukund Kalibhat, Yogesh Balaji, Soheil Feizi
2020	A*	`conf`	(De)Randomized Smoothing for Certifiable Defense against Patch Attacks. NeurIPS Alexander Levine, Soheil Feizi
2020	J	`jnl`	(De)Randomized Smoothing for Certifiable Defense against Patch Attacks. CoRR Alexander Levine, Soheil Feizi
2020	A	`conf`	Adversarial Robustness of Flow-Based Generative Models. AISTATS Phillip Pope, Yogesh Balaji, Soheil Feizi
2020	A*	`conf`	Adversarially Robust Distillation. AAAI Micah Goldblum, Liam Fowl, Soheil Feizi, Tom Goldstein
2020	A*	`conf`	Benchmarking Deep Learning Interpretability in Time Series Predictions. NeurIPS Aya Abdelsalam Ismail, Mohamed K. Gunady, Héctor Corrada Bravo, Soheil Feizi
2020	J	`jnl`	Benchmarking Deep Learning Interpretability in Time Series Predictions. CoRR Aya Abdelsalam Ismail, Mohamed K. Gunady, Héctor Corrada Bravo, Soheil Feizi
2020	A*	`conf`	Certifying Confidence via Randomized Smoothing. NeurIPS Aounon Kumar, Alexander Levine, Soheil Feizi, Tom Goldstein
2020	J	`jnl`	Certifying Confidence via Randomized Smoothing. CoRR Aounon Kumar, Alexander Levine, Soheil Feizi, Tom Goldstein
2020	A*	`conf`	Curse of Dimensionality on Randomized Smoothing for Certifiable Robustness. ICML Aounon Kumar, Alexander Levine, Tom Goldstein, Soheil Feizi
2020	J	`jnl`	Curse of Dimensionality on Randomized Smoothing for Certifiable Robustness. CoRR Aounon Kumar, Alexander Levine, Tom Goldstein, Soheil Feizi
2020	J	`jnl`	Deep Partition Aggregation: Provable Defense against General Poisoning Attacks. CoRR Alexander Levine, Soheil Feizi
2020	—	`conf`	Deep k-NN Defense Against Clean-Label Data Poisoning Attacks. ECCV Workshops (1) Neehar Peri, Neal Gupta, W. Ronny Huang, Liam Fowl, Chen Zhu, Soheil Feizi, Tom Goldstein, John P. Dickerson
2020	A*	`conf`	Dual Manifold Adversarial Robustness: Defense against Lp and non-Lp Adversarial Attacks. NeurIPS Wei-An Lin, Chun Pong Lau, Alexander Levine, Rama Chellappa, Soheil Feizi
2020	J	`jnl`	Dual Manifold Adversarial Robustness: Defense against Lp and non-Lp Adversarial Attacks. CoRR Wei-An Lin, Chun Pong Lau, Alexander Levine, Rama Chellappa, Soheil Feizi
2020	J	`jnl`	Fairness Through Robustness: Investigating Robustness Disparity in Deep Learning. CoRR Vedant Nanda, Samuel Dooley, Sahil Singla, Soheil Feizi, John P. Dickerson
2020	J	`jnl`	GANs with Variational Entropy Regularizers: Applications in Mitigating the Mode-Collapse Issue. CoRR Pirazh Khorramshahi, Hossein Souri, Rama Chellappa, Soheil Feizi
2020	J	`jnl`	Influence Functions in Deep Learning Are Fragile. CoRR Samyadeep Basu, Phillip Pope, Soheil Feizi
2020	A*	`conf`	Maximum Likelihood Embedding of Logistic Random Dot Product Graphs. AAAI Luke J. O'Connor, Muriel Médard, Soheil Feizi
2020	J	`jnl`	Mirrored Autoencoders with Simplex Interpolation for Unsupervised Anomaly Detection. CoRR Yexin Wu, Yogesh Balaji, Bhanukiran Vinzamuri, Soheil Feizi
2020	A*	`conf`	On Second-Order Group Influence Functions for Black-Box Predictions. ICML Samyadeep Basu, Xuchen You, Soheil Feizi
2020	J	`jnl`	Perceptual Adversarial Robustness: Defense Against Unseen Threat Models. CoRR Cassidy Laidlaw, Sahil Singla, Soheil Feizi
2020	A*	`conf`	Robust Optimal Transport with Applications in Generative Modeling and Domain Adaptation. NeurIPS Yogesh Balaji, Rama Chellappa, Soheil Feizi
2020	J	`jnl`	Robust Optimal Transport with Applications in Generative Modeling and Domain Adaptation. CoRR Yogesh Balaji, Rama Chellappa, Soheil Feizi
2020	A*	`conf`	Robustness Certificates for Sparse Adversarial Attacks by Randomized Ablation. AAAI Alexander Levine, Soheil Feizi
2020	A*	`conf`	Second-Order Provable Defenses against Adversarial Attacks. ICML Sahil Singla, Soheil Feizi
2020	J	`jnl`	Second-Order Provable Defenses against Adversarial Attacks. CoRR Sahil Singla, Soheil Feizi
2020	J	`jnl`	Spectral Alignment of Graphs. IEEE Trans. Netw. Sci. Eng. Soheil Feizi, Gerald T. Quon, Mariana Recamonde Mendoza, Muriel Médard, Manolis Kellis, Ali Jadbabaie
2020	J	`jnl`	Subadditivity of Probability Divergences on Bayes-Nets with Applications to Time Series GANs. CoRR Mucong Ding, Constantinos Daskalakis, Soheil Feizi
2020	J	`jnl`	Tight Second-Order Certificates for Randomized Smoothing. CoRR Alexander Levine, Aounon Kumar, Thomas A. Goldstein, Soheil Feizi
2020	J	`jnl`	Understanding GANs in the LQG Setting: Formulation, Generalization and Stability. IEEE J. Sel. Areas Inf. Theory Soheil Feizi, Farzan Farnia, Tony Ginart, David Tse
2020	A	`conf`	Wasserstein Smoothing: Certified Robustness against Wasserstein Adversarial Attacks. AISTATS Alexander Levine, Soheil Feizi
2020	J	`jnl`	Winning Lottery Tickets in Deep Generative Models. CoRR Neha Mukund Kalibhat, Yogesh Balaji, Soheil Feizi
2019	J	`jnl`	Adversarial Robustness of Flow-Based Generative Models. CoRR Phillip Pope, Yogesh Balaji, Soheil Feizi
2019	J	`jnl`	Adversarially Robust Distillation. CoRR Micah Goldblum, Liam Fowl, Soheil Feizi, Tom Goldstein
2019	—	`conf`	Are adversarial examples inevitable? ICLR (Poster) Ali Shafahi, W. Ronny Huang, Christoph Studer, Soheil Feizi, Tom Goldstein
2019	J	`jnl`	Bounding Singular Values of Convolution Layers. CoRR Sahil Singla, Soheil Feizi
2019	J	`jnl`	Certifiably Robust Interpretation in Deep Learning. CoRR Alexander Levine, Sahil Singla, Soheil Feizi
2019	J	`jnl`	Compressing GANs using Knowledge Distillation. CoRR Angeline Aguinaldo, Ping-Yeh Chiang, Alexander Gain, Ameya Patil, Kolten Pearson, Soheil Feizi
2019	A*	`conf`	Entropic GANs meet VAEs: A Statistical Approach to Compute Sample Likelihoods in GANs. ICML Yogesh Balaji, Hamed Hassani, Rama Chellappa, Soheil Feizi
2019	A*	`conf`	Functional Adversarial Attacks. NeurIPS Cassidy Laidlaw, Soheil Feizi
2019	J	`jnl`	Functional Adversarial Attacks. CoRR Cassidy Laidlaw, Soheil Feizi
2019	A*	`conf`	Input-Cell Attention Reduces Vanishing Saliency of Recurrent Neural Networks. NeurIPS Aya Abdelsalam Ismail, Mohamed K. Gunady, Luiz Pessoa, Héctor Corrada Bravo, Soheil Feizi
2019	J	`jnl`	Input-Cell Attention Reduces Vanishing Saliency of Recurrent Neural Networks. CoRR Aya Abdelsalam Ismail, Mohamed K. Gunady, Luiz Pessoa, Héctor Corrada Bravo, Soheil Feizi
2019	J	`jnl`	Interpretable Adversarial Training for Text. CoRR Samuel Barham, Soheil Feizi
2019	J	`jnl`	Network Infusion to Infer Information Sources in Networks. IEEE Trans. Netw. Sci. Eng. Soheil Feizi, Muriel Médard, Gerald T. Quon, Manolis Kellis, Ken Duffy
2019	J	`jnl`	Normalized Wasserstein Distance for Mixture Distributions with Applications in Adversarial Learning and Domain Adaptation. CoRR Yogesh Balaji, Rama Chellappa, Soheil Feizi
2019	A*	`conf`	Normalized Wasserstein for Mixture Distributions With Applications in Adversarial Learning and Domain Adaptation. ICCV Yogesh Balaji, Rama Chellappa, Soheil Feizi
2019	J	`jnl`	Playing it Safe: Adversarial Robustness with an Abstain Option. CoRR Cassidy Laidlaw, Soheil Feizi
2019	A*	`conf`	Quantum Wasserstein Generative Adversarial Networks. NeurIPS Shouvanik Chakrabarti, Yiming Huang, Tongyang Li, Soheil Feizi, Xiaodi Wu
2019	J	`jnl`	Quantum Wasserstein Generative Adversarial Networks. CoRR Shouvanik Chakrabarti, Yiming Huang, Tongyang Li, Soheil Feizi, Xiaodi Wu
2019	J	`jnl`	Robustness Certificates Against Adversarial Examples for ReLU Networks. CoRR Sahil Singla, Soheil Feizi
2019	J	`jnl`	Robustness Certificates for Sparse Adversarial Attacks by Randomized Ablation. CoRR Alexander Levine, Soheil Feizi
2019	J	`jnl`	Second-Order Group Influence Functions for Black-Box Predictions. CoRR Samyadeep Basu, Xuchen You, Soheil Feizi
2019	J	`jnl`	Strong Baseline Defenses Against Clean-Label Poisoning Attacks. CoRR Neal Gupta, W. Ronny Huang, Liam Fowl, Chen Zhu, Soheil Feizi, Tom Goldstein, John P. Dickerson
2019	A*	`conf`	Understanding Impacts of High-Order Loss Approximations and Features in Deep Learning Interpretation. ICML Sahil Singla, Eric Wallace, Shi Feng, Soheil Feizi
2019	J	`jnl`	Understanding Impacts of High-Order Loss Approximations and Features in Deep Learning Interpretation. CoRR Sahil Singla, Eric Wallace, Shi Feng, Soheil Feizi
2019	J	`jnl`	Wasserstein Smoothing: Certified Robustness against Wasserstein Adversarial Attacks. CoRR Alexander Levine, Soheil Feizi
2018	J	`jnl`	Are adversarial examples inevitable? CoRR Ali Shafahi, W. Ronny Huang, Christoph Studer, Soheil Feizi, Tom Goldstein
2018	J	`jnl`	Entropic GANs meet VAEs: A Statistical Approach to Compute Sample Likelihoods in GANs. CoRR Yogesh Balaji, Hamed Hassani, Rama Chellappa, Soheil Feizi
2018	A*	`conf`	Porcupine Neural Networks: Approximating Neural Network Landscapes. NeurIPS Soheil Feizi, Hamid Javadi, Jesse M. Zhang, David Tse
2017	—	`conf`	A memristor based binary multiplier. CCECE Saeed Haghiri, Ali Nemati, Soheil Feizi, Amirali Amirsoleimani, Arash Ahmadi, Majid Ahmadi
2017	J	`jnl`	Maximally Correlated Principal Component Analysis. CoRR Soheil Feizi, David Tse
2017	J	`jnl`	Network Maximal Correlation. IEEE Trans. Netw. Sci. Eng. Soheil Feizi, Ali Makhdoumi, Ken Duffy, Manolis Kellis, Muriel Médard
2017	J	`jnl`	Porcupine Neural Networks: (Almost) All Local Optima are Global. CoRR Soheil Feizi, Hamid Javadi, Jesse M. Zhang, David Tse
2017	—	`conf`	Tensor Biclustering. NIPS Soheil Feizi, Hamid Javadi, David Tse
2017	J	`jnl`	Understanding GANs: the LQG Setting. CoRR Soheil Feizi, Changho Suh, Fei Xia, David Tse
2016	J	`jnl`	Network Infusion to Infer Information Sources in Networks. CoRR Soheil Feizi, Muriel Médard, Gerald T. Quon, Manolis Kellis, Ken R. Duffy
2016	J	`jnl`	Spectral Alignment of Networks. CoRR Soheil Feizi, Gerald T. Quon, Mariana Recamonde Mendoza, Muriel Médard, Manolis Kellis, Ali Jadbabaie
2015	J	`jnl`	A Perspective on Future Research Directions in Information Theory. CoRR Jeffrey G. Andrews, Alexandros G. Dimakis, Lara Dolecek, Michelle Effros, Muriel Médard, Olgica Milenkovic, Andrea Montanari, Sriram Vishwanath, Edmund M. Yeh, Randall Berry, Ken R. Duffy, Soheil Feizi, Saul Kato, Manolis Kellis, Stuart Licht, Jon Sorenson, Lav R. Varshney, Haris Vikalo
2015	J	`jnl`	Integrative analysis of 111 reference human epigenomes Open. Nat. Roadmap Epigenomics Consortium, Anshul Kundaje, Wouter Meuleman, Jason Ernst, Misha Bilenky, Angela Yen, Alireza Heravi Moussavi, Pouya Kheradpour, ZhiZhuo Zhang, Jianrong Wang, Michael J. Ziller, Viren Amin, John W. Whitaker, Matthew D. Schultz, Lucas D. Ward, Abhishek Sarkar, Gerald T. Quon, Richard S. Sandstrom, Matthew L. Eaton, Yi-Chieh Wu, Andreas R. Pfenning, Xinchen Wang, Melina Claussnitzer, Yaping Liu, Cristian Coarfa, R. Alan Harris, Noam Shoresh, Charles B. Epstein, Elizabeta Gjoneska, Danny Leung, Wei Xie, R. David Hawkins, Ryan Lister, Chibo Hong, Philippe Gascard, Andrew J. Mungall, Richard A. Moore, Eric Chuah, Angela Tam, Theresa K. Canfield, R. Scott Hansen, Rajinder Kaul, Peter J. Sabo, Mukul S. Bansal, Annaick Carles, Jesse R. Dixon, Kyle Kai-How Farh, Soheil Feizi, Rosa Karlic, Ah-Ram Kim, Ashwinikumar Kulkarni, Daofeng Li, Rebecca F. Lowdon, GiNell Elliott, Tim R. Mercer, Shane J. Neph, Vitor Onuchic, Paz Polak, Nisha Rajagopal, Pradipta Ray, Richard C. Sallari, Kyle T. Siebenthall, Nicholas A. Sinnott-Armstrong, Michael Stevens, Robert E. Thurman, Jie Wu, Bo Zhang, Xin Zhou, Arthur E. Beaudet, Laurie A. Boyer, Philip L. De Jager, Peggy J. Farnham, Susan J. Fisher, David Haussler, Steven J. M. Jones, Wei Li, Marco A. Marra, Michael T. McManus, Shamil R. Sunyaev, James A. Thomson, Thea D. Tlsty, Li-Huei Tsai, Wei Wang, Robert A. Waterland, Michael Q. Zhang, Lisa H. Chadwick, Bradley E. Bernstein, Joseph F. Costello, Joseph R. Ecker, Martin Hirst, Alexander Meissner, Aleksandar Milosavljevic, Bing Ren, John A. Stamatoyannopoulos, Ting Wang, Manolis Kellis
2014	J	`jnl`	Backward Adaptation for Power Efficient Sampling. IEEE Trans. Signal Process. Soheil Feizi, Georgios Angelopoulos, Vivek K. Goyal, Muriel Médard
2014	—	`conf`	Biclustering Usinig Message Passing. NIPS Luke J. O'Connor, Soheil Feizi
2014	J	`jnl`	On Network Functional Compression. IEEE Trans. Inf. Theory Soheil Feizi, Muriel Médard
2014	—	`conf`	Tunable sparse network coding for multicast networks. NetCod Soheil Feizi, Daniel E. Lucani, Chres W. Sørensen, Ali Makhdoumi, Muriel Médard
2012	—	`conf`	Empirical rate-distortion study of compressive sensing-based joint source-channel coding. ACSCC Muriel L. Rambeloarison, Soheil Feizi, Georgios Angelopoulos, Muriel Médard
2012	J	`jnl`	Time-Stampless Adaptive Nonuniform Sampling for Stochastic Signals. IEEE Trans. Signal Process. Soheil Feizi, Vivek K. Goyal, Muriel Médard
2012	Misc	`conf`	Time-stampless adaptive nonuniform sampling for stochastic signals. ICASSP Soheil Feizi, Vivek K. Goyal, Muriel Médard
2011	—	`conf`	A power efficient sensing/communication scheme: Joint source-channel-network coding by using compressive sensing. Allerton Soheil Feizi, Muriel Médard
2010	B	`conf`	Cases where finding the minimum entropy coloring of a characteristic graph is a polynomial time problem. ISIT Soheil Feizi, Muriel Médard
2010	—	`conf`	Compressive sensing over networks. Allerton Soheil Feizi, Muriel Médard, Michelle Effros
2010	—	`conf`	Locally Adaptive Sampling. Allerton Soheil Feizi, Vivek K. Goyal, Muriel Médard
2009	J	`jnl`	Impulsive Noise Cancellation Based on Soft Decision and Recursion. IEEE Trans. Instrum. Meas. Sina Zahedpour, Soheil Feizi, Arash Amini, Mahmoud Ferdosizadeh Naeiny, Farrokh Marvasti
2009	J	`jnl`	Robust Audio Data Hiding Using Correlated Quantization With Histogram-Based Detector. IEEE Trans. Multim. Mohammad Ali Akhaee, Mohammad Javad Saberian, Soheil Feizi, Farokh Marvasti
2009	—	`conf`	When do only sources need to compute? On functional compression in tree networks. Allerton Soheil Feizi, Muriel Médard
2008	—	`conf`	Impulsive noise cancellation using CFAR and iterative techniques. ICT Sina Zahedpour, Soheil Feizi, Arash Amini, Mahmoud Ferdosizadeh Naeiny, Farokh Marvasti
2008	—	`conf`	Salt and pepper noise removal for image signals. ICT Soheil Feizi, Sina Zahedpour, Mahdi Soltanolkotabi, Arash Amini, Farokh Marvasti