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  • DeepMDP: Learning Continuous Latent Space Models for Representation Learning
    Carles Gelada, Saurabh Kumar, Jacob Buckman, Ofir Nachum, Marc G. Bellemare. International Conference on Machine Learning, (ICML) 2019.
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  • Sample-efficient Reinforcement Learning with Stochastic Ensemble Value Expansion
    Jacob Buckman, Danijar Hafner, George Tucker, Eugene Brevdo, Honglak Lee. Conference on Neural Information Processing Systems, (NeurIPS) 2018.
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  • Neural Lattice Language Models
    Jacob Buckman, Graham Neubig.
    Transactions of the Association for Computational Linguistics (TACL) 2018.
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  • Is Generator Conditioning Causally Related to GAN Performance?
    Augustus Odena, Jacob Buckman, Catherine Olsson, Tom B. Brown, Christopher Olah, Colin Raffel, Ian Goodfellow. International Conference on Machine Learning, (ICML) 2018.
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  • Thermometer Encoding: One Hot Way to Resist Adversarial Examples
    Jacob Buckman, Aurko Roy, Colin Raffel, Ian Goodfellow. International Conference on Learning Representations (ICLR) 2018.
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  • Transition-Based Dependency Parsing with Heuristic Backtracking
    Jacob Buckman, Miguel Ballesteros, Chris Dyer. Empirical Methods on Natural Language Processing (EMNLP) 2016.
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