Cemgil, Taylan

8 publications

ICML 2022 Evaluating the Adversarial Robustness of Adaptive Test-Time Defenses Francesco Croce, Sven Gowal, Thomas Brunner, Evan Shelhamer, Matthias Hein, Taylan Cemgil

UAI 2021 Unbiased Gradient Estimation for Variational Auto-Encoders Using Coupled Markov Chains Francisco J. R. Ruiz, Michalis K. Titsias, Taylan Cemgil, Arnaud Doucet

ICLR 2020 Adversarially Robust Representations with Smooth Encoders Taylan Cemgil, Sumedh Ghaisas, Krishnamurthy Dvijotham, Pushmeet Kohli

NeurIPS 2020 The Autoencoding Variational Autoencoder Taylan Cemgil, Sumedh Ghaisas, Krishnamurthy Dvijotham, Sven Gowal, Pushmeet Kohli

ICML 2018 Asynchronous Stochastic Quasi-Newton MCMC for Non-Convex Optimization Umut Simsekli, Cagatay Yildiz, Than Huy Nguyen, Taylan Cemgil, Gael Richard

ICML 2016 Stochastic Quasi-Newton Langevin Monte Carlo Umut Simsekli, Roland Badeau, Taylan Cemgil, Gaël Richard

NeurIPS 2013 Summary Statistics for Partitionings and Feature Allocations Isik B Fidaner, Taylan Cemgil

AISTATS 2010 Sequential Monte Carlo Samplers for Dirichlet Process Mixtures Yener Ulker, Bilge Günsel, Taylan Cemgil