Mehrdad Farajtabar

124 papers A* 25A 4B 1Journal 74Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Conformal Thinking: Risk Control for Reasoning on a Compute Budget. CoRR Xi Wang, Anushri Suresh, Alvin Zhang, Rishi More, William Jurayj, Benjamin Van Durme, Mehrdad Farajtabar, Daniel Khashabi, Eric T. Nalisnick
2026	J	`jnl`	MemoryLLM: Plug-n-Play Interpretable Feed-Forward Memory for Transformers. CoRR Ajay Jaiswal, Lauren Hannah, Han-Byul Kim, Duc N. M. Hoang, Arnav Kundu, Mehrdad Farajtabar, Minsik Cho
2026	—	`conf`	Reasoning's Razor: Reasoning Improves Accuracy but Hurts Recall at Critical Operating Points in Safety and Hallucination Detection. EACL (Volume 1: Long Papers) Atoosa Malemir Chegini, Hamid Kazemi, Garrett Souza, Maria Safi, Yang Song, Samy Bengio, Sinead Williamson, Mehrdad Farajtabar
2026	J	`jnl`	Recursive Language Models Meet Uncertainty: The Surprising Effectiveness of Self-Reflective Program Search for Long Context. CoRR Keivan Alizadeh, Parshin Shojaee, Minsik Cho, Mehrdad Farajtabar
2026	J	`jnl`	Residual Context Diffusion Language Models. CoRR Yuezhou Hu, Harman Singh, Monishwaran Maheswaran, Haocheng Xi, Coleman Hooper, Jintao Zhang, Aditya Tomar, Michael W. Mahoney, Sewon Min, Mehrdad Farajtabar, Kurt Keutzer, Amir Gholami, Chenfeng Xu
2025	J	`jnl`	Arbitrage: Efficient Reasoning via Advantage-Aware Speculation. CoRR Monishwaran Maheswaran, Rishabh Tiwari, Yuezhou Hu, Kerem Dilmen, Coleman Hooper, Haocheng Xi, Nicholas Lee, Mehrdad Farajtabar, Michael W. Mahoney, Kurt Keutzer, Amir Gholami
2025	J	`jnl`	Barriers for Learning in an Evolving World: Mathematical Understanding of Loss of Plasticity. CoRR Amir Joudaki, Giulia Lanzillotta, Mohammad Samragh Razlighi, Iman Mirzadeh, Keivan Alizadeh, Thomas Hofmann, Mehrdad Farajtabar, Fartash Faghri
2025	J	`jnl`	Beyond Next-Token Prediction: A Performance Characterization of Diffusion versus Autoregressive Language Models. CoRR Minseo Kim, Coleman Hooper, Aditya Tomar, Chenfeng Xu, Mehrdad Farajtabar, Michael W. Mahoney, Kurt Keutzer, Amir Gholami
2025	J	`jnl`	From Dense to Dynamic: Token-Difficulty Driven MoEfication of Pre-Trained LLMs. CoRR Kumari Nishu, Sachin Mehta, Samira Abnar, Mehrdad Farajtabar, Maxwell Horton, Mahyar Najibi, Moin Nabi, Minsik Cho, Devang Naik
2025	A*	`conf`	GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models. ICLR Iman Mirzadeh, Keivan Alizadeh, Hooman Shahrokhi, Oncel Tuzel, Samy Bengio, Mehrdad Farajtabar
2025	J	`jnl`	MoE-PHDS: One MoE checkpoint for flexible runtime sparsity. CoRR Lauren A. Hannah, Soheil Zibakhsh, Kumari Nishu, Arnav Kundu, Mohammad Samragh Razlighi, Mehrdad Farajtabar, Minsik Cho
2025	A*	`conf`	Proxy-FDA: Proxy-based Feature Distribution Alignment for Fine-tuning Vision Foundation Models without Forgetting. ICML Chen Huang, Skyler Seto, Hadi Pouransari, Mehrdad Farajtabar, Raviteja Vemulapalli, Fartash Faghri, Oncel Tuzel, Barry-John Theobald, Joshua M. Susskind
2025	J	`jnl`	Proxy-FDA: Proxy-based Feature Distribution Alignment for Fine-tuning Vision Foundation Models without Forgetting. CoRR Chen Huang, Skyler Seto, Hadi Pouransari, Mehrdad Farajtabar, Raviteja Vemulapalli, Fartash Faghri, Oncel Tuzel, Barry-John Theobald, Joshua M. Susskind
2025	J	`jnl`	RL for Reasoning by Adaptively Revealing Rationales. CoRR Mohammad Hossein Amani, Aryo Lotfi, Nicolas Mario Baldwin, Samy Bengio, Mehrdad Farajtabar, Emmanuel Abbe, Robert West
2025	J	`jnl`	Reasoning's Razor: Reasoning Improves Accuracy but Can Hurt Recall at Critical Operating Points in Safety and Hallucination Detection. CoRR Atoosa Malemir Chegini, Hamid Kazemi, Garrett Souza, Maria Safi, Yang Song, Samy Bengio, Sinead Williamson, Mehrdad Farajtabar
2025	J	`jnl`	The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity. CoRR Parshin Shojaee, Iman Mirzadeh, Keivan Alizadeh, Maxwell Horton, Samy Bengio, Mehrdad Farajtabar
2025	—	`conf`	TiC-LM: A Web-Scale Benchmark for Time-Continual LLM Pretraining. ACL (1) Jeffrey Li, Mohammadreza Armandpour, Iman Mirzadeh, Sachin Mehta, Vaishaal Shankar, Raviteja Vemulapalli, Samy Bengio, Oncel Tuzel, Mehrdad Farajtabar, Hadi Pouransari, Fartash Faghri
2025	J	`jnl`	TiC-LM: A Web-Scale Benchmark for Time-Continual LLM Pretraining. CoRR Jeffrey Li, Mohammadreza Armandpour, Iman Mirzadeh, Sachin Mehta, Vaishaal Shankar, Raviteja Vemulapalli, Samy Bengio, Oncel Tuzel, Mehrdad Farajtabar, Hadi Pouransari, Fartash Faghri
2025	J	`jnl`	Your LLM Knows the Future: Uncovering Its Multi-Token Prediction Potential. CoRR Mohammad Samragh, Arnav Kundu, David Harrison, Kumari Nishu, Devang Naik, Minsik Cho, Mehrdad Farajtabar
2024	J	`jnl`	CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement. Trans. Mach. Learn. Res. Mohammadreza Salehi, Mehrdad Farajtabar, Maxwell Horton, Fartash Faghri, Hadi Pouransari, Raviteja Vemulapalli, Oncel Tuzel, Ali Farhadi, Mohammad Rastegari, Sachin Mehta
2024	J	`jnl`	CatLIP: CLIP-level Visual Recognition Accuracy with 2.7x Faster Pre-training on Web-scale Image-Text Data. CoRR Sachin Mehta, Maxwell Horton, Fartash Faghri, Mohammad Hossein Sekhavat, Mahyar Najibi, Mehrdad Farajtabar, Oncel Tuzel, Mohammad Rastegari
2024	—	`conf`	Computational Bottlenecks of Training Small-scale Large Language Models. ENLSP Saleh Ashkboos, Seyed-Iman Mirzadeh, Keivan Alizadeh-Vahid, Mohammad Hossein Sekhavat, Moin Nabi, Mehrdad Farajtabar, Fartash Faghri
2024	J	`jnl`	Computational Bottlenecks of Training Small-scale Large Language Models. CoRR Saleh Ashkboos, Iman Mirzadeh, Keivan Alizadeh, Mohammad Hossein Sekhavat, Moin Nabi, Mehrdad Farajtabar, Fartash Faghri
2024	—	`conf`	Duo-LLM: A Framework for Studying Adaptive Computation in Large Language Models. ENLSP Keivan Alizadeh-Vahid, Seyed-Iman Mirzadeh, Hooman Shahrkokhi, Dmitry Belenko, Frank Sun, Minsik Cho, Mohammad Hossein Sekhavat, Moin Nabi, Mehrdad Farajtabar
2024	J	`jnl`	Duo-LLM: A Framework for Studying Adaptive Computation in Large Language Models. CoRR Keivan Alizadeh, Iman Mirzadeh, Hooman Shahrokhi, Dmitry Belenko, Frank Sun, Minsik Cho, Mohammad Hossein Sekhavat, Moin Nabi, Mehrdad Farajtabar
2024	J	`jnl`	GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models. CoRR Iman Mirzadeh, Keivan Alizadeh, Hooman Shahrokhi, Oncel Tuzel, Samy Bengio, Mehrdad Farajtabar
2024	A*	`conf`	Knowledge Transfer from Vision Foundation Models for Efficient Training of Small Task-specific Models. ICML Raviteja Vemulapalli, Hadi Pouransari, Fartash Faghri, Sachin Mehta, Mehrdad Farajtabar, Mohammad Rastegari, Oncel Tuzel
2024	—	`conf`	LLM in a flash: Efficient Large Language Model Inference with Limited Memory. ACL (1) Keivan Alizadeh, Iman Mirzadeh, Dmitry Belenko, S. Khatamifard, Minsik Cho, Carlo C. del Mundo, Mohammad Rastegari, Mehrdad Farajtabar
2024	A*	`conf`	ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models. ICLR Iman Mirzadeh, Keivan Alizadeh-Vahid, Sachin Mehta, Carlo C. del Mundo, Oncel Tuzel, Golnoosh Samei, Mohammad Rastegari, Mehrdad Farajtabar
2024	J	`jnl`	SALSA: Soup-based Alignment Learning for Stronger Adaptation in RLHF. CoRR Atoosa Malemir Chegini, Hamid Kazemi, Iman Mirzadeh, Dong Yin, Maxwell Horton, Moin Nabi, Mehrdad Farajtabar, Keivan Alizadeh
2024	—	`conf`	SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial Understanding. CVPR Workshops Haoxiang Wang, Pavan Kumar Anasosalu Vasu, Fartash Faghri, Raviteja Vemulapalli, Mehrdad Farajtabar, Sachin Mehta, Mohammad Rastegari, Oncel Tuzel, Hadi Pouransari
2024	—	`conf`	Scaling Smart: Accelerating Large Language Model Pre-Training with Small Model Initialization. ENLSP Mohammad Samragh, Seyed-Iman Mirzadeh, Keivan Alizadeh-Vahid, Fartash Faghri, Minsik Cho, Moin Nabi, Devang Naik, Mehrdad Farajtabar
2024	J	`jnl`	Scaling Smart: Accelerating Large Language Model Pre-training with Small Model Initialization. CoRR Mohammad Samragh, Iman Mirzadeh, Keivan Alizadeh-Vahid, Fartash Faghri, Minsik Cho, Moin Nabi, Devang Naik, Mehrdad Farajtabar
2024	A*	`conf`	TiC-CLIP: Continual Training of CLIP Models. ICLR Saurabh Garg, Mehrdad Farajtabar, Hadi Pouransari, Raviteja Vemulapalli, Sachin Mehta, Oncel Tuzel, Vaishaal Shankar, Fartash Faghri
2023	J	`jnl`	CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement. CoRR Mohammadreza Salehi, Mehrdad Farajtabar, Maxwell Horton, Fartash Faghri, Hadi Pouransari, Raviteja Vemulapalli, Oncel Tuzel, Ali Farhadi, Mohammad Rastegari, Sachin Mehta
2023	—	`conf`	Continual Learning Beyond a Single Model. CoLLAs Thang Doan, Seyed-Iman Mirzadeh, Mehrdad Farajtabar
2023	J	`jnl`	Guest Editorial Robust Learning of Spatio-Temporal Point Processes: Modeling, Algorithm, and Applications. IEEE Trans. Neural Networks Learn. Syst. Junchi Yan, Hongteng Xu, Liangda Li, Mehrdad Farajtabar, Xiaokang Yang
2023	J	`jnl`	LLM in a flash: Efficient Large Language Model Inference with Limited Memory. CoRR Keivan Alizadeh, Iman Mirzadeh, Dmitry Belenko, Karen Khatamifard, Minsik Cho, Carlo C. del Mundo, Mohammad Rastegari, Mehrdad Farajtabar
2023	J	`jnl`	Label-efficient Training of Small Task-specific Models by Leveraging Vision Foundation Models. CoRR Raviteja Vemulapalli, Hadi Pouransari, Fartash Faghri, Sachin Mehta, Mehrdad Farajtabar, Mohammad Rastegari, Oncel Tuzel
2023	J	`jnl`	On the Efficacy of Multi-scale Data Samplers for Vision Applications. CoRR Elvis Nunez, Thomas Merth, Anish Prabhu, Mehrdad Farajtabar, Mohammad Rastegari, Sachin Mehta, Maxwell Horton
2023	J	`jnl`	ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models. CoRR Iman Mirzadeh, Keivan Alizadeh, Sachin Mehta, Carlo C. del Mundo, Oncel Tuzel, Golnoosh Samei, Mohammad Rastegari, Mehrdad Farajtabar
2023	A*	`conf`	Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness with Dataset Reinforcement. ICCV Fartash Faghri, Hadi Pouransari, Sachin Mehta, Mehrdad Farajtabar, Ali Farhadi, Mohammad Rastegari, Oncel Tuzel
2023	J	`jnl`	Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness with Dataset Reinforcement. CoRR Fartash Faghri, Hadi Pouransari, Sachin Mehta, Mehrdad Farajtabar, Ali Farhadi, Mohammad Rastegari, Oncel Tuzel
2023	J	`jnl`	SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial Understanding. CoRR Haoxiang Wang, Pavan Kumar Anasosalu Vasu, Fartash Faghri, Raviteja Vemulapalli, Mehrdad Farajtabar, Sachin Mehta, Mohammad Rastegari, Oncel Tuzel, Hadi Pouransari
2023	J	`jnl`	TiC-CLIP: Continual Training of CLIP Models. CoRR Saurabh Garg, Mehrdad Farajtabar, Hadi Pouransari, Raviteja Vemulapalli, Sachin Mehta, Oncel Tuzel, Vaishaal Shankar, Fartash Faghri
2023	J	`jnl`	Weight subcloning: direct initialization of transformers using larger pretrained ones. CoRR Mohammad Samragh, Mehrdad Farajtabar, Sachin Mehta, Raviteja Vemulapalli, Fartash Faghri, Devang Naik, Oncel Tuzel, Mohammad Rastegari
2022	J	`jnl`	An Empirical Study of Implicit Regularization in Deep Offline RL. CoRR Çaglar Gülçehre, Srivatsan Srinivasan, Jakub Sygnowski, Georg Ostrovski, Mehrdad Farajtabar, Matt Hoffman, Razvan Pascanu, Arnaud Doucet
2022	J	`jnl`	An empirical study of implicit regularization in deep offline RL. Trans. Mach. Learn. Res. Çaglar Gülçehre, Srivatsan Srinivasan, Jakub Sygnowski, Georg Ostrovski, Mehrdad Farajtabar, Matthew Hoffman, Razvan Pascanu, Arnaud Doucet
2022	J	`jnl`	Architecture Matters in Continual Learning. CoRR Seyed-Iman Mirzadeh, Arslan Chaudhry, Dong Yin, Timothy Nguyen, Razvan Pascanu, Dilan Görür, Mehrdad Farajtabar
2022	J	`jnl`	Efficient Continual Learning Ensembles in Neural Network Subspaces. CoRR Thang Doan, Seyed-Iman Mirzadeh, Joelle Pineau, Mehrdad Farajtabar
2022	A*	`conf`	Wide Neural Networks Forget Less Catastrophically. ICML Seyed-Iman Mirzadeh, Arslan Chaudhry, Dong Yin, Huiyi Hu, Razvan Pascanu, Dilan Görür, Mehrdad Farajtabar
2021	A*	`conf`	Linear Mode Connectivity in Multitask and Continual Learning. ICLR Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Dilan Görür, Razvan Pascanu, Hassan Ghasemzadeh
2021	J	`jnl`	Task-agnostic Continual Learning with Hybrid Probabilistic Models. CoRR Polina Kirichenko, Mehrdad Farajtabar, Dushyant Rao, Balaji Lakshminarayanan, Nir Levine, Ang Li, Huiyi Hu, Andrew Gordon Wilson, Razvan Pascanu
2021	J	`jnl`	Wide Neural Networks Forget Less Catastrophically. CoRR Seyed-Iman Mirzadeh, Arslan Chaudhry, Huiyi Hu, Razvan Pascanu, Dilan Görür, Mehrdad Farajtabar
2020	A*	`conf`	A Maximum-Entropy Approach to Off-Policy Evaluation in Average-Reward MDPs. NeurIPS Nevena Lazic, Dong Yin, Mehrdad Farajtabar, Nir Levine, Dilan Görür, Chris Harris, Dale Schuurmans
2020	J	`jnl`	A maximum-entropy approach to off-policy evaluation in average-reward MDPs. CoRR Nevena Lazic, Dong Yin, Mehrdad Farajtabar, Nir Levine, Dilan Görür, Chris Harris, Dale Schuurmans
2020	J	`jnl`	Balance Regularized Neural Network Models for Causal Effect Estimation. CoRR Mehrdad Farajtabar, Andrew Lee, Yuanjian Feng, Vishal Gupta, Peter Dolan, Harish Chandran, Martin Szummer
2020	—	`conf`	Dropout as an Implicit Gating Mechanism For Continual Learning. CVPR Workshops Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Hassan Ghasemzadeh
2020	J	`jnl`	Dropout as an Implicit Gating Mechanism For Continual Learning. CoRR Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Hassan Ghasemzadeh
2020	A*	`conf`	Improved Knowledge Distillation via Teacher Assistant. AAAI Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Ang Li, Nir Levine, Akihiro Matsukawa, Hassan Ghasemzadeh
2020	A*	`conf`	Learning to Incentivize Other Learning Agents. NeurIPS Jiachen Yang, Ang Li, Mehrdad Farajtabar, Peter Sunehag, Edward Hughes, Hongyuan Zha
2020	J	`jnl`	Learning to Incentivize Other Learning Agents. CoRR Jiachen Yang, Ang Li, Mehrdad Farajtabar, Peter Sunehag, Edward Hughes, Hongyuan Zha
2020	J	`jnl`	Linear Mode Connectivity in Multitask and Continual Learning. CoRR Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Dilan Görür, Razvan Pascanu, Hassan Ghasemzadeh
2020	A	`conf`	Orthogonal Gradient Descent for Continual Learning. AISTATS Mehrdad Farajtabar, Navid Azizan, Alex Mott, Ang Li
2020	J	`jnl`	Recurrent Poisson Factorization for Temporal Recommendation. IEEE Trans. Knowl. Data Eng. Seyed Abbas Hosseini, Ali Khodadadi, Keivan Alizadeh, Ali Arabzadeh, Mehrdad Farajtabar, Hongyuan Zha, Hamid R. Rabiee
2020	J	`jnl`	SOLA: Continual Learning with Second-Order Loss Approximation. CoRR Dong Yin, Mehrdad Farajtabar, Ang Li
2020	A*	`conf`	Self-Distillation Amplifies Regularization in Hilbert Space. NeurIPS Hossein Mobahi, Mehrdad Farajtabar, Peter L. Bartlett
2020	J	`jnl`	Self-Distillation Amplifies Regularization in Hilbert Space. CoRR Hossein Mobahi, Mehrdad Farajtabar, Peter L. Bartlett
2020	J	`jnl`	The Effectiveness of Memory Replay in Large Scale Continual Learning. CoRR Yogesh Balaji, Mehrdad Farajtabar, Dong Yin, Alex Mott, Ang Li
2020	A*	`conf`	Understanding the Role of Training Regimes in Continual Learning. NeurIPS Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Razvan Pascanu, Hassan Ghasemzadeh
2020	J	`jnl`	Understanding the Role of Training Regimes in Continual Learning. CoRR Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Razvan Pascanu, Hassan Ghasemzadeh
2019	A*	`conf`	Cross-View Policy Learning for Street Navigation. ICCV Ang Li, Huiyi Hu, Piotr Mirowski, Mehrdad Farajtabar
2019	J	`jnl`	Cross-View Policy Learning for Street Navigation. CoRR Ang Li, Huiyi Hu, Piotr Mirowski, Mehrdad Farajtabar
2019	—	`conf`	DyRep: Learning Representations over Dynamic Graphs. ICLR (Poster) Rakshit S. Trivedi, Mehrdad Farajtabar, Prasenjeet Biswal, Hongyuan Zha
2019	J	`jnl`	Improved Knowledge Distillation via Teacher Assistant: Bridging the Gap Between Student and Teacher. CoRR Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Ang Li, Hassan Ghasemzadeh
2019	J	`jnl`	Learning Time Series Associated Event Sequences With Recurrent Point Process Networks. IEEE Trans. Neural Networks Learn. Syst. Shuai Xiao, Junchi Yan, Mehrdad Farajtabar, Le Song, Xiaokang Yang, Hongyuan Zha
2019	J	`jnl`	Modeling behaviors and lifestyle with online and social data for predicting and analyzing sleep and exercise quality. Int. J. Data Sci. Anal. Mehrdad Farajtabar, Emre Kiciman, Girish Nathan, Ryen W. White
2019	J	`jnl`	Orthogonal Gradient Descent for Continual Learning. CoRR Mehrdad Farajtabar, Navid Azizan, Alex Mott, Ang Li
2018	—	`conf`	COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution. WWW (Companion Volume) Mehrdad Farajtabar, Manuel Gomez-Rodriguez, Yichen Wang, Shuang Li, Hongyuan Zha, Le Song
2018	A*	`conf`	Discrete Interventions in Hawkes Processes with Applications in Invasive Species Management. IJCAI Amrita Gupta, Mehrdad Farajtabar, Bistra Dilkina, Hongyuan Zha
2018	A*	`conf`	Learning Conditional Generative Models for Temporal Point Processes. AAAI Shuai Xiao, Hongteng Xu, Junchi Yan, Mehrdad Farajtabar, Xiaokang Yang, Le Song, Hongyuan Zha
2018	A*	`conf`	More Robust Doubly Robust Off-policy Evaluation. ICML Mehrdad Farajtabar, Yinlam Chow, Mohammad Ghavamzadeh
2018	J	`jnl`	More Robust Doubly Robust Off-policy Evaluation. CoRR Mehrdad Farajtabar, Yinlam Chow, Mohammad Ghavamzadeh
2018	—	`—`	Point process modeling and optimization of social networks. Mehrdad Farajtabar
2018	J	`jnl`	Representation Learning over Dynamic Graphs. CoRR Rakshit S. Trivedi, Mehrdad Farajtabar, Prasenjeet Biswal, Hongyuan Zha
2017	J	`jnl`	COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Evolution. J. Mach. Learn. Res. Mehrdad Farajtabar, Yichen Wang, Manuel Gomez-Rodriguez, Shuang Li, Hongyuan Zha, Le Song
2017	A*	`conf`	Correlated Cascades: Compete or Cooperate. AAAI Ali Zarezade, Ali Khodadadi, Mehrdad Farajtabar, Hamid R. Rabiee, Hongyuan Zha
2017	J	`jnl`	Detecting Changes in Dynamic Events Over Networks. IEEE Trans. Signal Inf. Process. over Networks Shuang Li, Yao Xie, Mehrdad Farajtabar, Apurv Verma, Le Song
2017	A*	`conf`	Distilling Information Reliability and Source Trustworthiness from Digital Traces. WWW Behzad Tabibian, Isabel Valera, Mehrdad Farajtabar, Le Song, Bernhard Schölkopf, Manuel Gomez-Rodriguez
2017	A*	`conf`	Fake News Mitigation via Point Process Based Intervention. ICML Mehrdad Farajtabar, Jiachen Yang, Xiaojing Ye, Huan Xu, Rakshit S. Trivedi, Elias B. Khalil, Shuang Li, Le Song, Hongyuan Zha
2017	J	`jnl`	Fake News Mitigation via Point Process Based Intervention. CoRR Mehrdad Farajtabar, Jiachen Yang, Xiaojing Ye, Huan Xu, Rakshit S. Trivedi, Elias Boutros Khalil, Shuang Li, Le Song, Hongyuan Zha
2017	J	`jnl`	Hawkes Processes for Invasive Species Modeling and Management. CoRR Amrita Gupta, Mehrdad Farajtabar, Bistra Dilkina, Hongyuan Zha
2017	J	`jnl`	Joint Modeling of Event Sequence and Time Series with Attentional Twin Recurrent Neural Networks. CoRR Shuai Xiao, Junchi Yan, Mehrdad Farajtabar, Le Song, Xiaokang Yang, Hongyuan Zha
2017	A*	`conf`	Recurrent Poisson Factorization for Temporal Recommendation. KDD Seyyed Abbas Hosseini, Keivan Alizadeh, Ali Khodadadi, Ali Arabzadeh, Mehrdad Farajtabar, Hongyuan Zha, Hamid R. Rabiee
2017	J	`jnl`	Recurrent Poisson Factorization for Temporal Recommendation. CoRR Seyyed Abbas Hosseini, Keivan Alizadeh, Ali Khodadadi, Ali Arabzadeh, Mehrdad Farajtabar, Hongyuan Zha, Hamid R. Rabiee
2017	—	`conf`	Wasserstein Learning of Deep Generative Point Process Models. NIPS Shuai Xiao, Mehrdad Farajtabar, Xiaojing Ye, Junchi Yan, Xiaokang Yang, Le Song, Hongyuan Zha
2017	J	`jnl`	Wasserstein Learning of Deep Generative Point Process Models. CoRR Shuai Xiao, Mehrdad Farajtabar, Xiaojing Ye, Junchi Yan, Le Song, Hongyuan Zha
2016	J	`jnl`	Detecting weak changes in dynamic events over networks. CoRR Shuang Li, Yao Xie, Mehrdad Farajtabar, Le Song
2016	J	`jnl`	Distilling Information Reliability and Source Trustworthiness from Digital Traces. CoRR Behzad Tabibian, Isabel Valera, Mehrdad Farajtabar, Le Song, Bernhard Schölkopf, Manuel Gomez-Rodriguez
2016	A*	`conf`	Learning Granger Causality for Hawkes Processes. ICML Hongteng Xu, Mehrdad Farajtabar, Hongyuan Zha
2016	J	`jnl`	Learning Granger Causality for Hawkes Processes. CoRR Hongteng Xu, Mehrdad Farajtabar, Hongyuan Zha
2016	—	`conf`	Multistage Campaigning in Social Networks. NIPS Mehrdad Farajtabar, Xiaojing Ye, Sahar Harati, Le Song, Hongyuan Zha
2016	J	`jnl`	Multistage Campaigning in Social Networks. CoRR Mehrdad Farajtabar, Xiaojing Ye, Sahar Harati, Le Song, Hongyuan Zha
2016	A*	`conf`	Smart Broadcasting: Do You Want to be Seen? KDD Mohammad Reza Karimi, Erfan Tavakoli, Mehrdad Farajtabar, Le Song, Manuel Gomez-Rodriguez
2016	J	`jnl`	Smart broadcasting: Do you want to be seen? CoRR Mohammad Reza Karimi, Erfan Tavakoli, Mehrdad Farajtabar, Le Song, Manuel Gomez-Rodriguez
2015	J	`jnl`	A Continuous-time Mutually-Exciting Point Process Framework for Prioritizing Events in Social Media. CoRR Mehrdad Farajtabar, Safoora Yousefi, Long Q. Tran, Le Song, Hongyuan Zha
2015	A	`conf`	Back to the Past: Source Identification in Diffusion Networks from Partially Observed Cascades. AISTATS Mehrdad Farajtabar, Manuel Gomez-Rodriguez, Mohammad Zamani, Nan Du, Hongyuan Zha, Le Song
2015	J	`jnl`	Back to the Past: Source Identification in Diffusion Networks from Partially Observed Cascades. CoRR Mehrdad Farajtabar, Manuel Gomez-Rodriguez, Nan Du, Mohammad Zamani, Hongyuan Zha, Le Song
2015	—	`conf`	COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution. NIPS Mehrdad Farajtabar, Yichen Wang, Manuel Gomez-Rodriguez, Shuang Li, Hongyuan Zha, Le Song
2015	J	`jnl`	COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution. CoRR Mehrdad Farajtabar, Yichen Wang, Manuel Gomez-Rodriguez, Shuang Li, Hongyuan Zha, Le Song
2015	—	`conf`	Co-evolutionary Dynamics of Information Diffusion and Network Structure. WWW (Companion Volume) Mehrdad Farajtabar, Manuel Gomez-Rodriguez, Yichen Wang, Shuang Li, Hongyuan Zha, Le Song
2015	J	`jnl`	Correlated Cascades: Compete or Cooperate. CoRR Ali Zarezade, Ali Khodadadi, Mehrdad Farajtabar, Hamid R. Rabiee, Le Song, Hongyuan Zha
2015	A*	`conf`	Dirichlet-Hawkes Processes with Applications to Clustering Continuous-Time Document Streams. KDD Nan Du, Mehrdad Farajtabar, Amr Ahmed, Alexander J. Smola, Le Song
2015	A	`conf`	Learning Latent Variable Models by Improving Spectral Solutions with Exterior Point Method. UAI Amirreza Shaban, Mehrdad Farajtabar, Bo Xie, Le Song, Byron Boots
2015	A	`conf`	NetCodec: Community Detection from Individual Activities. SDM Long Q. Tran, Mehrdad Farajtabar, Le Song, Hongyuan Zha
2015	J	`jnl`	On The Network You Keep: Analyzing Persons of Interest using Cliqster. CoRR Saber Shokat Fadaee, Mehrdad Farajtabar, Ravi Sundaram, Javed A. Aslam, Nikos I. Passas
2015	J	`jnl`	On the network you keep: analyzing persons of interest using Cliqster. Soc. Netw. Anal. Min. Saber Shokat Fadaee, Mehrdad Farajtabar, Ravi Sundaram, Javed A. Aslam, Nikos I. Passas
2014	—	`conf`	Shaping Social Activity by Incentivizing Users. NIPS Mehrdad Farajtabar, Nan Du, Manuel Gomez-Rodriguez, Isabel Valera, Hongyuan Zha, Le Song
2014	J	`jnl`	Shaping Social Activity by Incentivizing Users. CoRR Mehrdad Farajtabar, Nan Du, Manuel Gomez-Rodriguez, Isabel Valera, Hongyuan Zha, Le Song
2014	B	`conf`	The network you keep: Analyzing persons of interest using cliqster. ASONAM Saber Shokat Fadaee, Mehrdad Farajtabar, Ravi Sundaram, Javed A. Aslam, Nikos I. Passas
2013	A*	`conf`	From Local Similarity to Global Coding: An Application to Image Classification. CVPR Amirreza Shaban, Hamid R. Rabiee, Mehrdad Farajtabar, Marjan Ghazvininejad
2013	—	`conf`	Online Object Representation Learning and Its Application to Object Tracking. AAAI Spring Symposium: Lifelong Machine Learning Amirreza Shaban, Hamid R. Rabiee, Mehrdad Farajtabar, Mohsen Fadaee
2011	—	`conf`	Efficient Iterative Semi-supervised Classification on Manifold. ICDM Workshops Mehrdad Farajtabar, Hamid R. Rabiee, Amirreza Shaban, Ali Soltani-Farani
2011	—	`conf`	Manifold Coarse Graining for Online Semi-supervised Learning. ECML/PKDD (1) Mehrdad Farajtabar, Amirreza Shaban, Hamidreza Rabiee, Mohammad H. Rohban