publications

* denotes equal contribution

An up-to-date list is available on Google Scholar.

manuscripts & preprints

  1. arXiv
    Federated Learning via Posterior Averaging:
    A New Perspective and Practical Algorithms
    arXiv preprint (in submission), 2020
  2. arXiv
    Progressive Generation of Long Text
    Tan, B., Yang, Z., Al-Shedivat, M., Xing, E., Hu, Z.
    arXiv preprint, 2020
  3. arXiv
    Learning from Imperfect Annotations
    arXiv preprint, 2020
  4. medRxiv
    Discriminative Subtyping of Lung Cancers from Histopathology Images via Contextual Deep Learning
    Lengerich, B.*, Al-Shedivat, M.*, Alavi, A., Williams, J., Labbaki, S., Xing, E.
    medRxiv preprint, 2020

conference & journal articles

2020

  1. Regularizing Black-box Models for Improved Interpretability
    In Advances in Neural Information Processing Systems (NeurIPS), 2020
  2. Contextual Explanation Networks
    Al-Shedivat, M., Dubey, A., Xing, E.P.
    Journal of Machine Learning Research (JMLR), 2020

2019

  1. NAACL Full Oral
    Consistency by Agreement in Zero-shot Neural Machine Translation
    Al-Shedivat, M., Parikh, A.P.
    In Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2019
  2. A Baseline for Any Order Gradient Estimation in Stochastic Computation Graphs
    Mao, J.*, Foerster, J.*, Rocktäschel, T., Al-Shedivat, M., Farquhar, G., Whiteson, S.
    In International Conference on Machine Learning (ICML), 2019

2018

  1. ICML Full Oral
    Learning Policy Representations in Multiagent Systems
    Grover, A., Al-Shedivat, M., Gupta, J.K., Burda, Y., Edwards, H.
    In International Conference on Machine Learning (ICML), 2018
  2. ICML Full Oral
    DiCE: The Infinitely Differentiable Monte-Carlo Estimator
    Foerster, J.N., Farquhar, G.*, Al-Shedivat, M.*, Rocktäschel, T., Xing, E.P., Whiteson, S.
    In International Conference on Machine Learning (ICML), 2018
  3. Learning with Opponent-Learning Awareness
    In International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2018
  4. ICLR Best Paper Award
    Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments
    In International Conference on Learning Representations (ICLR), 2018

2017

  1. Learning Scalable Deep Kernels with Recurrent Structure
    Al-Shedivat, M., Wilson, A.G., Saatchi, Y., Hu, Z., Xing, E.
    Journal of Machine Learning Research (JMLR), 2017

2016

  1. Learning HMMs with Nonparametric Emissions via Decompositions of Continuous Matrices
    Kandasamy, K.*, Al-Shedivat, M.*, Xing, E.P.
    In Advances in Neural Information Processing Systems (NeurIPS), 2016
  2. ADIOS: Architectures Deep In Output Space
    Cissé, M., Al-Shedivat, M., Bengio, S.
    In International Conference on Machine Learning (ICML), 2016
  3. Frontiers
    Stochastic Synapses Enable Efficient Brain-Inspired Learning Machines
    Frontiers in Neuroscience, 2016

2015

  1. Stochasticity Modeling in Memristors
    Naous, R., Al-Shedivat, M., Salama, K.N.
    IEEE Transactions on Nanotechnology, 2015
  2. Memristors Empower Spiking Neurons With Stochasticity
    Al-Shedivat, M., Naous, R., Cauwenberghs, G., Salama, K. N.
    IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2015
  3. NER
    Inherently Stochastic Spiking Neurons for Probabilistic Neural Computation
    Al-Shedivat, M., Naous, R., Neftci, E., Cauwenberghs, G., Salama, K. N.
    In International IEEE/EMBS Conference on Neural Engineering (NER), 2015
  4. Learning Non-deterministic Representations with Energy-based Ensembles
    Al-Shedivat, M., Neftci, E., Cauwenberghs, G.
    In International Conference on Learning Representations (ICLR), workshop track, 2015

2014

  1. Supervised Transfer Sparse Coding
    Al-Shedivat, M., Wang, J. J.-Y., Alzahrani, M., Huang, J. Z., Gao, X.
    In AAAI conference on Artificial Intelligence, 2014

short papers & extended abstracts

  1. Regularizing Black-box Models for Improved Interpretability
    Plumb, G., Al-Shedivat, M., Xing, E.P., Talwalkar, A.
    In Workshop on Human In the Loop Learning (HILL), ICML, 2019
  2. On the Complexity of Exploration in Goal-Driven Navigation
    Al-Shedivat, M.*, Lee, L.*, Salakhutdinov, R., Xing, E.P.
    In Relational Representation Learning Workshop, NeurIPS, 2018
  3. Contextual Explanation Networks Enable Integrated Analysis Of Imaging And Genomic Data
    Lengerich, B.J., Al-Shedivat, M., Dubey, A., Alavi, A., Williams, J., Xing, E.P.
    In 26th conference on Intelligent Systems for Molecular Biology (ISMB), 2018
  4. Evaluating Generalization in Multiagent Systems using Agent-Interaction Graphs
    Grover, A., Al-Shedivat, M., Gupta, J., Burda, Y., Edwards, H.
    In International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2018
  5. NeurIPS Spotlight
    The Intriguing Properties of Model Explanations
    Al-Shedivat, M., Dubey, A., Xing, E.P.
    In Symposium on Interpretable Machine Learning, NeurIPS, 2017
  6. NeurIPS Spotlight
    Personalized Survival Prediction with Contextual Explanation Networks
    Al-Shedivat, M., Dubey, A., Xing, E.P.
    In Machine Learning for Healthcare Workshop, NeurIPS, 2017
  7. Scalable GP-LSTMs with Semi-Stochastic Gradients
    Al-Shedivat, M., Wilson, A.G., Saatchi, Y., Hu, Z., Xing, E.P.
    In Bayesian Deep Learning Workshop, NeurIPS, 2016
  8. Learning Diverse Overcomplete Dictionaries via Determinantal Priors
    Al-Shedivat, M., Choe, Y.J., Spencer, N., Xing, E.P.
    In Geometry in Machine Learning Workshop, ICML, 2016
  9. Neural Generative Models with Stochastic Synapses Capture Richer Representations
    Al-Shedivat, M., Neftci, E., Cauwenberghs, G.
    In Computational and Systems Neuroscience (Cosyne), 2015
  10. FiO/LS
    Shaping of Femtosecond Laser Pulses with Plasmonic Crystals
    Shcherbakov, M., Vabishchevich, P., Zubjuk, V., Al-Shedivat, M., Dolgova, T., Fedyanin, A.
    In Frontiers in Optics, 2013

theses

  1. M.Sc.
    Al-Shedivat, M. (2015). Brain-inspired Stochastic Models and Implementations. KAUST.
  2. B.Sc.
    Аль-Шедиват, М. (2013). Фемтосекундная динамика преобразования поляризации света хиральными плазмонными метаматериалами. МГУ им. М.В. Ломоносова.