Maruan Al-Shedivat

45 papers A* 7A 3C 1Journal 25Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Pearl: A Foundation Model for Placing Every Atom in the Right Location. CoRR Alejandro Dobles, Nina Jovic, Kenneth Leidal, Pranav Murugan, David C. Williams, Drausin Wulsin, Nate Gruver, Christina X. Ji, Korrawat Pruegsanusak, Gianluca Scarpellini, Ansh Sharma, Wojciech Swiderski, Andrea Bootsma, Richard Strong Bowen, Charlotte Chen, Jamin Chen, Marc André Dämgen, Benjamin DiFrancesco, J. D. Fishman, Alla Ivanova, Zach Kagin, David Li-Bland, Zuli Liu, Igor Morozov, Jeffrey Ouyang-Zhang, Frank C. Pickard IV, Kushal S. Shah, Ben Shor, Gabriel Monteiro da Silva, Roy Tal, Maxx H. Tessmer, Carl Tilbury, Cyr Vetcher, Daniel Zeng, Maruan Al-Shedivat, Aleksandra Faust, Evan N. Feinberg, Michael V. LeVine, Matteus Pan
2025	J	`jnl`	Triangle Multiplication Is All You Need For Biomolecular Structure Representations. CoRR Jeffrey Ouyang-Zhang, Pranav Murugan, Daniel Jesus Diaz, Gianluca Scarpellini, Richard Strong Bowen, Nate Gruver, Adam R. Klivans, Philipp Krähenbühl, Aleksandra Faust, Maruan Al-Shedivat
2022	—	`—`	Principles of Learning in Multitask Settings: A Probabilistic Perspective. Maruan Al-Shedivat
2021	J	`jnl`	A Field Guide to Federated Optimization. CoRR Jianyu Wang, Zachary Charles, Zheng Xu, Gauri Joshi, H. Brendan McMahan, Blaise Agüera y Arcas, Maruan Al-Shedivat, Galen Andrew, Salman Avestimehr, Katharine Daly, Deepesh Data, Suhas N. Diggavi, Hubert Eichner, Advait Gadhikar, Zachary Garrett, Antonious M. Girgis, Filip Hanzely, Andrew Hard, Chaoyang He, Samuel Horváth, Zhouyuan Huo, Alex Ingerman, Martin Jaggi, Tara Javidi, Peter Kairouz, Satyen Kale, Sai Praneeth Karimireddy, Jakub Konecný, Sanmi Koyejo, Tian Li, Luyang Liu, Mehryar Mohri, Hang Qi, Sashank J. Reddi, Peter Richtárik, Karan Singhal, Virginia Smith, Mahdi Soltanolkotabi, Weikang Song, Ananda Theertha Suresh, Sebastian U. Stich, Ameet Talwalkar, Hongyi Wang, Blake E. Woodworth, Shanshan Wu, Felix X. Yu, Honglin Yuan, Manzil Zaheer, Mi Zhang, Tong Zhang, Chunxiang Zheng, Chen Zhu, Wennan Zhu
2021	A*	`conf`	Federated Learning via Posterior Averaging: A New Perspective and Practical Algorithms. ICLR Maruan Al-Shedivat, Jennifer Gillenwater, Eric P. Xing, Afshin Rostamizadeh
2021	—	`conf`	Knowledge-Aware Meta-learning for Low-Resource Text Classification. EMNLP (1) Huaxiu Yao, Yingxin Wu, Maruan Al-Shedivat, Eric P. Xing
2021	J	`jnl`	Knowledge-Aware Meta-learning for Low-Resource Text Classification. CoRR Huaxiu Yao, Yingxin Wu, Maruan Al-Shedivat, Eric P. Xing
2021	A	`conf`	On Data Efficiency of Meta-learning. AISTATS Maruan Al-Shedivat, Liam Li, Eric P. Xing, Ameet Talwalkar
2021	J	`jnl`	On Data Efficiency of Meta-learning. CoRR Maruan Al-Shedivat, Liam Li, Eric Poe Xing, Ameet Talwalkar
2021	—	`conf`	Progressive Generation of Long Text with Pretrained Language Models. NAACL-HLT Bowen Tan, Zichao Yang, Maruan Al-Shedivat, Eric P. Xing, Zhiting Hu
2020	J	`jnl`	Contextual Explanation Networks. J. Mach. Learn. Res. Maruan Al-Shedivat, Avinava Dubey, Eric P. Xing
2020	J	`jnl`	Federated Learning via Posterior Averaging: A New Perspective and Practical Algorithms. CoRR Maruan Al-Shedivat, Jennifer Gillenwater, Eric P. Xing, Afshin Rostamizadeh
2020	J	`jnl`	Learning from Imperfect Annotations. CoRR Emmanouil Antonios Platanios, Maruan Al-Shedivat, Eric P. Xing, Tom M. Mitchell
2020	J	`jnl`	Progressive Generation of Long Text. CoRR Bowen Tan, Zichao Yang, Maruan Al-Shedivat, Eric P. Xing, Zhiting Hu
2020	A*	`conf`	Regularizing Black-box Models for Improved Interpretability. NeurIPS Gregory Plumb, Maruan Al-Shedivat, Ángel Alexander Cabrera, Adam Perer, Eric P. Xing, Ameet Talwalkar
2019	A*	`conf`	A Baseline for Any Order Gradient Estimation in Stochastic Computation Graphs. ICML Jingkai Mao, Jakob N. Foerster, Tim Rocktäschel, Maruan Al-Shedivat, Gregory Farquhar, Shimon Whiteson
2019	—	`conf`	Consistency by Agreement in Zero-Shot Neural Machine Translation. NAACL-HLT (1) Maruan Al-Shedivat, Ankur P. Parikh
2019	J	`jnl`	Consistency by Agreement in Zero-shot Neural Machine Translation. CoRR Maruan Al-Shedivat, Ankur P. Parikh
2019	J	`jnl`	Regularizing Black-box Models for Improved Interpretability (HILL 2019 Version). CoRR Gregory Plumb, Maruan Al-Shedivat, Eric P. Xing, Ameet Talwalkar
2019	J	`jnl`	Regularizing Black-box Models for Improved Interpretability. CoRR Gregory Plumb, Maruan Al-Shedivat, Eric P. Xing, Ameet Talwalkar
2018	—	`conf`	Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments. ICLR Maruan Al-Shedivat, Trapit Bansal, Yura Burda, Ilya Sutskever, Igor Mordatch, Pieter Abbeel
2018	A*	`conf`	DiCE: The Infinitely Differentiable Monte Carlo Estimator. ICML Jakob N. Foerster, Gregory Farquhar, Maruan Al-Shedivat, Tim Rocktäschel, Eric P. Xing, Shimon Whiteson
2018	—	`conf`	DiCE: The Infinitely Differentiable Monte-Carlo Estimator. ICLR (Workshop) Jakob N. Foerster, Gregory Farquhar, Maruan Al-Shedivat, Tim Rocktäschel, Eric P. Xing, Shimon Whiteson
2018	J	`jnl`	DiCE: The Infinitely Differentiable Monte-Carlo Estimator. CoRR Jakob N. Foerster, Gregory Farquhar, Maruan Al-Shedivat, Tim Rocktäschel, Eric P. Xing, Shimon Whiteson
2018	A	`conf`	Evaluating Generalization in Multiagent Systems using Agent-Interaction Graphs. AAMAS Aditya Grover, Maruan Al-Shedivat, Jayesh K. Gupta, Yuri Burda, Harrison Edwards
2018	A*	`conf`	Learning Policy Representations in Multiagent Systems. ICML Aditya Grover, Maruan Al-Shedivat, Jayesh K. Gupta, Yuri Burda, Harrison Edwards
2018	J	`jnl`	Learning Policy Representations in Multiagent Systems. CoRR Aditya Grover, Maruan Al-Shedivat, Jayesh K. Gupta, Yura Burda, Harrison Edwards
2018	A	`conf`	Learning with Opponent-Learning Awareness. AAMAS Jakob N. Foerster, Richard Y. Chen, Maruan Al-Shedivat, Shimon Whiteson, Pieter Abbeel, Igor Mordatch
2018	J	`jnl`	On the Complexity of Exploration in Goal-Driven Navigation. CoRR Maruan Al-Shedivat, Lisa Lee, Ruslan Salakhutdinov, Eric P. Xing
2018	J	`jnl`	Personalized Survival Prediction with Contextual Explanation Networks. CoRR Maruan Al-Shedivat, Avinava Dubey, Eric P. Xing
2018	J	`jnl`	The Intriguing Properties of Model Explanations. CoRR Maruan Al-Shedivat, Avinava Dubey, Eric P. Xing
2017	J	`jnl`	Contextual Explanation Networks. CoRR Maruan Al-Shedivat, Avinava Dubey, Eric P. Xing
2017	J	`jnl`	Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments. CoRR Maruan Al-Shedivat, Trapit Bansal, Yuri Burda, Ilya Sutskever, Igor Mordatch, Pieter Abbeel
2017	J	`jnl`	Learning Scalable Deep Kernels with Recurrent Structure. J. Mach. Learn. Res. Maruan Al-Shedivat, Andrew Gordon Wilson, Yunus Saatchi, Zhiting Hu, Eric P. Xing
2017	J	`jnl`	Learning with Opponent-Learning Awareness. CoRR Jakob N. Foerster, Richard Y. Chen, Maruan Al-Shedivat, Shimon Whiteson, Pieter Abbeel, Igor Mordatch
2016	A*	`conf`	ADIOS: Architectures Deep In Output Space. ICML Moustapha Cissé, Maruan Al-Shedivat, Samy Bengio
2016	—	`conf`	Learning HMMs with Nonparametric Emissions via Spectral Decompositions of Continuous Matrices. NIPS Kirthevasan Kandasamy, Maruan Al-Shedivat, Eric P. Xing
2016	J	`jnl`	Learning HMMs with Nonparametric Emissions via Spectral Decompositions of Continuous Matrices. CoRR Kirthevasan Kandasamy, Maruan Al-Shedivat, Eric P. Xing
2016	J	`jnl`	Learning Scalable Deep Kernels with Recurrent Structure. CoRR Maruan Al-Shedivat, Andrew Gordon Wilson, Yunus Saatchi, Zhiting Hu, Eric P. Xing
2016	C	`conf`	Stochastic synaptic plasticity with memristor crossbar arrays. ISCAS Rawan Naous, Maruan Al-Shedivat, Emre Neftci, Gert Cauwenberghs, Khaled Nabil Salama
2015	—	`conf`	Inherently stochastic spiking neurons for probabilistic neural computation. NER Maruan Al-Shedivat, Rawan Naous, Emre Neftci, Gert Cauwenberghs, Khaled N. Salama
2015	—	`conf`	Learning Non-deterministic Representations with Energy-based Ensembles. ICLR (Workshop) Maruan Al-Shedivat, Emre Neftci, Gert Cauwenberghs
2015	J	`jnl`	Memristors Empower Spiking Neurons With Stochasticity. IEEE J. Emerg. Sel. Topics Circuits Syst. Maruan Al-Shedivat, Rawan Naous, Gert Cauwenberghs, Khaled Nabil Salama
2015	J	`jnl`	Unsupervised Learning in Synaptic Sampling Machines. CoRR Emre Neftci, Bruno U. Pedroni, Siddharth Joshi, Maruan Al-Shedivat, Gert Cauwenberghs
2014	A*	`conf`	Supervised Transfer Sparse Coding. AAAI Maruan Al-Shedivat, Jim Jing-Yan Wang, Majed Alzahrani, Jianhua Z. Huang, Xin Gao