A. Taylan Cemgil

66 papers A* 8A 3B 1Misc 2Journal 30Unranked 22

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Evaluating Model Bias Requires Characterizing its Mistakes. CoRR Isabela Albuquerque, Jessica Schrouff, David Warde-Farley, A. Taylan Cemgil, Sven Gowal, Olivia Wiles
2024	J	`jnl`	Scalable watermarking for identifying large language model outputs. Nat. Sumanth Dathathri, Abigail See, Sumedh Ghaisas, Po-Sen Huang, Rob McAdam, Johannes Welbl, Vandana Bachani, Alex Kaskasoli, Robert Stanforth, Tatiana Matejovicova, Jamie Hayes, Nidhi Vyas, Majd Al Merey, Jonah Brown-Cohen, Rudy Bunel, Borja Balle, A. Taylan Cemgil, Zahra Ahmed, Kitty Stacpoole, Ilia Shumailov, Ciprian Baetu, Sven Gowal, Demis Hassabis, Pushmeet Kohli
2023	J	`jnl`	Faster sorting algorithms discovered using deep reinforcement learning. Nat. Daniel J. Mankowitz, Andrea Michi, Anton Zhernov, Marco Gelmi, Marco Selvi, Cosmin Paduraru, Edouard Leurent, Shariq Iqbal, Jean-Baptiste Lespiau, Alex Ahern, Thomas Köppe, Kevin Millikin, Stephen Gaffney, Sophie Elster, Jackson Broshear, Chris Gamble, Kieran Milan, Robert Tung, Minjae Hwang, A. Taylan Cemgil, Mohammadamin Barekatain, Yujia Li, Amol Mandhane, Thomas Hubert, Julian Schrittwieser, Demis Hassabis, Pushmeet Kohli, Martin A. Riedmiller, Oriol Vinyals, David Silver
2023	J	`jnl`	Generative models improve fairness of medical classifiers under distribution shifts. CoRR Ira Ktena, Olivia Wiles, Isabela Albuquerque, Sylvestre-Alvise Rebuffi, Ryutaro Tanno, Abhijit Guha Roy, Shekoofeh Azizi, Danielle Belgrave, Pushmeet Kohli, Alan Karthikesalingam, A. Taylan Cemgil, Sven Gowal
2023	J	`jnl`	Probabilistic indoor tracking of Bluetooth Low-Energy beacons. Perform. Evaluation F. Serhan Danis, Cem Ersoy, A. Taylan Cemgil
2022	J	`jnl`	An Indoor Localization Dataset and Data Collection Framework with High Precision Position Annotation. CoRR F. Serhan Danis, Ahmet Teoman Naskali, A. Taylan Cemgil, Cem Ersoy
2022	J	`jnl`	An indoor localization dataset and data collection framework with high precision position annotation. Pervasive Mob. Comput. F. Serhan Danis, Ahmet Teoman Naskali, A. Taylan Cemgil, Cem Ersoy
2022	J	`jnl`	Does your dermatology classifier know what it doesn't know? Detecting the long-tail of unseen conditions. Medical Image Anal. Abhijit Guha Roy, Jie Ren, Shekoofeh Azizi, Aaron Loh, Vivek Natarajan, Basil Mustafa, Nick Pawlowski, Jan Freyberg, Yuan Liu, Zachary Beaver, Nam Vo, Peggy Bui, Samantha Winter, Patricia MacWilliams, Gregory S. Corrado, Umesh Telang, Yun Liu, A. Taylan Cemgil, Alan Karthikesalingam, Balaji Lakshminarayanan, Jim Winkens
2022	A*	`conf`	Evaluating the Adversarial Robustness of Adaptive Test-time Defenses. ICML Francesco Croce, Sven Gowal, Thomas Brunner, Evan Shelhamer, Matthias Hein, A. Taylan Cemgil
2022	J	`jnl`	Evaluating the Adversarial Robustness of Adaptive Test-time Defenses. CoRR Francesco Croce, Sven Gowal, Thomas Brunner, Evan Shelhamer, Matthias Hein, A. Taylan Cemgil
2022	A*	`conf`	Role of Human-AI Interaction in Selective Prediction. AAAI Elizabeth Bondi, Raphael Koster, Hannah Sheahan, Martin J. Chadwick, Yoram Bachrach, A. Taylan Cemgil, Ulrich Paquet, Krishnamurthy Dvijotham
2022	B	`conf`	Tracking a Mobile Beacon: A Purely Probabilistic Approach. MASCOTS F. Serhan Danis, Cem Ersoy, A. Taylan Cemgil
2021	J	`jnl`	A Fine-Grained Analysis on Distribution Shift. CoRR Olivia Wiles, Sven Gowal, Florian Stimberg, Sylvestre-Alvise Rebuffi, Ira Ktena, Krishnamurthy Dvijotham, A. Taylan Cemgil
2021	J	`jnl`	Adaptive Sequential Monte Carlo Filter for Indoor Positioning and Tracking With Bluetooth Low Energy Beacons. IEEE Access F. Serhan Danis, A. Taylan Cemgil, Cem Ersoy
2021	J	`jnl`	Bayesian Allocation Model: Marginal Likelihood-Based Model Selection for Count Tensors. IEEE J. Sel. Top. Signal Process. Sinan Yildirim, M. Burak Kurutmaz, Melih Barsbey, Umut Simsekli, A. Taylan Cemgil
2021	J	`jnl`	Does Your Dermatology Classifier Know What It Doesn't Know? Detecting the Long-Tail of Unseen Conditions. CoRR Abhijit Guha Roy, Jie Ren, Shekoofeh Azizi, Aaron Loh, Vivek Natarajan, Basil Mustafa, Nick Pawlowski, Jan Freyberg, Yuan Liu, Zachary Beaver, Nam Vo, Peggy Bui, Samantha Winter, Patricia MacWilliams, Gregory S. Corrado, Umesh Telang, Yun Liu, A. Taylan Cemgil, Alan Karthikesalingam, Balaji Lakshminarayanan, Jim Winkens
2021	J	`jnl`	Role of Human-AI Interaction in Selective Prediction. CoRR Elizabeth Bondi, Raphael Koster, Hannah Sheahan, Martin J. Chadwick, Yoram Bachrach, A. Taylan Cemgil, Ulrich Paquet, Krishnamurthy Dvijotham
2021	A	`conf`	Unbiased gradient estimation for variational auto-encoders using coupled Markov chains. UAI Francisco J. R. Ruiz, Michalis K. Titsias, A. Taylan Cemgil, Arnaud Doucet
2020	A*	`conf`	Achieving Robustness in the Wild via Adversarial Mixing With Disentangled Representations. CVPR Sven Gowal, Chongli Qin, Po-Sen Huang, A. Taylan Cemgil, Krishnamurthy Dvijotham, Timothy A. Mann, Pushmeet Kohli
2020	A*	`conf`	Adversarially Robust Representations with Smooth Encoders. ICLR A. Taylan Cemgil, Sumedh Ghaisas, Krishnamurthy (Dj) Dvijotham, Pushmeet Kohli
2020	J	`jnl`	Autoencoding Variational Autoencoder. CoRR A. Taylan Cemgil, Sumedh Ghaisas, Krishnamurthy Dvijotham, Sven Gowal, Pushmeet Kohli
2020	J	`jnl`	Contrastive Training for Improved Out-of-Distribution Detection. CoRR Jim Winkens, Rudy Bunel, Abhijit Guha Roy, Robert Stanforth, Vivek Natarajan, Joseph R. Ledsam, Patricia MacWilliams, Pushmeet Kohli, Alan Karthikesalingam, Simon Kohl, A. Taylan Cemgil, S. M. Ali Eslami, Olaf Ronneberger
2020	J	`jnl`	Data Sharing via Differentially Private Coupled Matrix Factorization. ACM Trans. Knowl. Discov. Data Beyza Ermis, A. Taylan Cemgil
2020	A*	`conf`	The Autoencoding Variational Autoencoder. NeurIPS A. Taylan Cemgil, Sumedh Ghaisas, Krishnamurthy Dvijotham, Sven Gowal, Pushmeet Kohli
2020	J	`jnl`	Unbiased Gradient Estimation for Variational Auto-Encoders using Coupled Markov Chains. CoRR Francisco J. R. Ruiz, Michalis K. Titsias, A. Taylan Cemgil, Arnaud Doucet
2019	J	`jnl`	A framework for parallel second order incremental optimization algorithms for solving partially separable problems. Comput. Optim. Appl. Kamer Kaya, Figen Öztoprak, S. Ilker Birbil, A. Taylan Cemgil, Umut Simsekli, Nurdan Kuru, Hazal Koptagel, M. Kaan Öztürk
2019	J	`jnl`	Achieving Robustness in the Wild via Adversarial Mixing with Disentangled Representations. CoRR Sven Gowal, Chongli Qin, Po-Sen Huang, A. Taylan Cemgil, Krishnamurthy Dvijotham, Timothy A. Mann, Pushmeet Kohli
2019	—	`conf`	Active Learning with Bayesian Nonnegative Matrix Factorization for Recommender Systems. SIU Gonul Ayci, Abdullatif Köksal, M. Melih Mutlu, Burak Suyunu, A. Taylan Cemgil
2019	—	`conf`	Comparison of Deep Generative Models for the Generation of Handwritten Character Images. SIU Ömer Kirbiyik, Enis Simsar, A. Taylan Cemgil
2019	—	`conf`	Model selection for relational data factorization. SIU Caglar Hizli, A. Taylan Cemgil, Serap Kirbiz
2018	—	`conf`	Active selection of elements for Bayesian nonnegative matrix factorization. SIU Burak Suyunu, Gonul Ayci, A. Taylan Cemgil
2018	—	`conf`	Anomaly detection on wind turbines. SIU Onur Poyraz, M. Burak Kurutmaz, A. Taylan Cemgil, Sinan Selamoglu
2018	A*	`conf`	Asynchronous Stochastic Quasi-Newton MCMC for Non-Convex Optimization. ICML Umut Simsekli, Çagatay Yildiz, Thanh Huy Nguyen, A. Taylan Cemgil, Gaël Richard
2018	J	`jnl`	Asynchronous Stochastic Quasi-Newton MCMC for Non-Convex Optimization. CoRR Umut Simsekli, Çagatay Yildiz, Thanh Huy Nguyen, Gaël Richard, A. Taylan Cemgil
2018	A*	`conf`	EndoSensorFusion: Particle Filtering-Based Multi-Sensory Data Fusion with Switching State-Space Model for Endoscopic Capsule Robots. ICRA Mehmet Turan, Yasin Almalioglu, Hunter Gilbert, Helder Araújo, A. Taylan Cemgil, Metin Sitti
2017	J	`jnl`	EndoSensorFusion: Particle Filtering-Based Multi-sensory Data Fusion with Switching State-Space Model for Endoscopic Capsule Robots. CoRR Mehmet Turan, Yasin Almalioglu, Hunter Gilbert, Helder Araújo, A. Taylan Cemgil, Metin Sitti
2017	—	`conf`	Outlier detection on power consumption via non-negative tensor factorization models. SIU M. Burak Kurutmaz, A. Taylan Cemgil, Ahmet Cezayirli, Ezgi Bingöl, Sait Sener
2017	Misc	`conf`	Parallelized Stochastic Gradient Markov Chain Monte Carlo algorithms for non-negative matrix factorization. ICASSP Umut Simsekli, Alain Durmus, Roland Badeau, Gaël Richard, Eric Moulines, A. Taylan Cemgil
2016	A*	`conf`	Stochastic Quasi-Newton Langevin Monte Carlo. ICML Umut Simsekli, Roland Badeau, A. Taylan Cemgil, Gaël Richard
2015	J	`jnl`	Bayesian changepoint and time-varying parameter learning in regime switching volatility models. Digit. Signal Process. M. Serdar Yümlü, Fikret S. Gürgen, A. Taylan Cemgil, Nesrin Okay
2015	—	`conf`	DRENAJ: Distributed social media data collection system. SIU Onur Güngör, Suzan Üsküdarli, A. Taylan Cemgil
2015	—	`conf`	Dialogue enhancement using kernel additive modelling. SIU Serap Kirbiz, Antoine Liutkus, A. Taylan Cemgil
2015	—	`conf`	Extraction of Temporal Patterns in Multi-rate and Multi-modal Datasets. LVA/ICA Antoine Liutkus, Umut Simsekli, A. Taylan Cemgil
2015	J	`jnl`	Special Issue in Honour of William J. (Bill) Fitzgerald. Digit. Signal Process. Ercan E. Kuruoglu, Joan Lasenby, A. Taylan Cemgil, Anil C. Kokaram, Robin D. Morris
2014	J	`jnl`	An Online Expectation-Maximisation Algorithm for Nonnegative Matrix Factorisation Models. CoRR Sinan Yildirim, A. Taylan Cemgil, Sumeetpal S. Singh
2014	—	`conf`	Analysis of effect of single-channel speech-music separation using NMF to automatic speech recognition. SIU Cemil Demir, A. Taylan Cemgil, Murat Saraclar
2014	—	`conf`	Comparison of sampling strategies for flow length estimation. SIU Mehmet Ozgun Demir, Baris Kurt, Saliha Buyukcorak, Gunes Karabulut-Kurt, A. Taylan Cemgil, Engin Zeydan
2014	J	`jnl`	Probabilistic sequence clustering with spectral learning. Digit. Signal Process. Yusuf Cem Sübakan, Baris Kurt, A. Taylan Cemgil, Bülent Sankur
2013	—	`conf`	Optimal weight learning for Coupled Tensor Factorization with mixed divergences. EUSIPCO Umut Simsekli, Beyza Ermis, A. Taylan Cemgil, Evrim Acar
2013	Misc	`conf`	SMC samplers for multiresolution audio sequence alignment. ICASSP Dogac Basaran, A. Taylan Cemgil, Emin Anarim
2012	J	`jnl`	Algorithms for probabilistic latent tensor factorization. Signal Process. Yusuf Kenan Yilmaz, A. Taylan Cemgil
2012	J	`jnl`	Alpha/Beta Divergences and Tweedie Models CoRR Yusuf Kenan Yilmaz, A. Taylan Cemgil
2012	—	`conf`	Catalog-based single-channel speech-music separation with the Itakura-Saito divergence. EUSIPCO Cemil Demir, A. Taylan Cemgil, Murat Saraclar
2012	J	`jnl`	Link Prediction via Generalized Coupled Tensor Factorisation CoRR Beyza Ermis, Evrim Acar, A. Taylan Cemgil
2012	—	`conf`	Markov Chain Monte Carlo inference for probabilistic latent tensor factorization. MLSP Umut Simsekli, A. Taylan Cemgil
2012	—	`conf`	Network management without payload inspection: Application classification via statistical analysis of bulk flow data. Future Network & Mobile Summit Baris Kurt, A. Taylan Cemgil, Muhittin Mungan, Neval Polat, Alper Øzdogan, Ece Saygun
2012	—	`conf`	Probabilistic interpolative decomposition. MLSP Ismail Ari, A. Taylan Cemgil, Lale Akarun
2012	—	`conf`	Score guided musical source separation using Generalized Coupled Tensor Factorization. EUSIPCO Umut Simsekli, A. Taylan Cemgil
2011	—	`conf`	Model based multiple audio sequence alignment. WASPAA Dogac Basaran, A. Taylan Cemgil, Emin Anarim
2011	A	`conf`	Semi-Supervised Single-Channel Speech-Music Separation for Automatic Speech Recognition. INTERSPEECH Cemil Demir, A. Taylan Cemgil, Murat Saraclar
2010	A	`conf`	Catalog-based single-channel speech-music separation. INTERSPEECH Cemil Demir, A. Taylan Cemgil, Murat Saraclar
2010	J	`jnl`	Graphical Models for Time-Series. IEEE Signal Process. Mag. David Barber, A. Taylan Cemgil
2010	—	`conf`	Probabilistic Latent Tensor Factorization. LVA/ICA Yusuf Kenan Yilmaz, A. Taylan Cemgil
2008	—	`conf`	Bayesian hierarchical models and inference for musical audio processing. ISWPC Paul H. Peeling, A. Taylan Cemgil, Simon J. Godsill
2007	—	`conf`	Sequential Inference of Rhythmic Structure in Musical Audio. ICASSP (4) Nick Whiteley, A. Taylan Cemgil, Simon J. Godsill
2007	—	`conf`	Strategies for Sequential Inference in Factorial Switching State Space Models. ICASSP (2) A. Taylan Cemgil