Umut Simsekli

Radu Horaud, Antoine Liutkus, Laurent Girin, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Large scale polyphonic music transcription using randomized matrix decompositions

Lale Akarun, Ali Taylan Cemgil, Umut Simsekli, 2012, 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO).

Sonic Handprints: Person Identification with Hand Clapping Sounds by a Model-Based Method

Cumhur Erkut, Antti Jylhä, Umut Simsekli, 2012 .

Score guided audio restoration via generalised coupled tensor factorisation

Ali Taylan Cemgil, Y. K. Yilmaz, Umut Simsekli, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Quantitative Propagation of Chaos for SGD in Wide Neural Networks pdf

Alain Durmus, Valentin De Bortoli, Umut Simsekli, 2020, NeurIPS.

Synthetic dataset generation for non-intrusive load monitoring in commercial buildings

Gaël Richard, Benoit Fuentes, Umut Simsekli, 2017, BuildSys@SenSys.

Learning mixed divergences in coupled matrix and tensor factorization models

Ali Taylan Cemgil, Beyza Ermis, Umut Simsekli, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Stochastic Quasi-Newton Langevin Monte Carlo

Roland Badeau, Ali Taylan Cemgil, Gaël Richard, 2016, ICML.

Explicit Regularisation in Gaussian Noise Injections pdf

Matthew Willetts, Alexander Camuto, Umut Simsekli, 2020, NeurIPS.

Synchronizing Probability Measures on Rotations via Optimal Transport

Leonidas J. Guibas, Umut Simsekli, Michael Arbel, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Non-negative tensor factorization models for Bayesian audio processing

Ali Taylan Cemgil, Tuomas Virtanen, Umut Simsekli, 2015, Digit. Signal Process..

A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural Networks

Levent Sagun, Umut Simsekli, Mert Gürbüzbalaban, 2019, ICML.

Real-Time Recognition of Percussive Sounds by a Model-Based Method

Cumhur Erkut, Antti Jylhä, Ali Taylan Cemgil, 2011, EURASIP J. Adv. Signal Process..

Probabilistic latent tensor factorization framework for audio modeling

Ali Taylan Cemgil, Umut Simsekli, Yusuf Cem Sübakan, 2011, 2011 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA).

Fractional Langevin Monte Carlo: Exploring Levy Driven Stochastic Differential Equations for Markov Chain Monte Carlo

Umut Simsekli, Umut Simsekli, 2017, ICML.

Parallelized Stochastic Gradient Markov Chain Monte Carlo algorithms for non-negative matrix factorization

Eric Moulines, Roland Badeau, Ali Taylan Cemgil, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

The Heavy-Tail Phenomenon in SGD pdf

Umut Simsekli, Mert Gürbüzbalaban, Lingjiong Zhu, 2020, ArXiv.

Coupled tensor factorization models for polyphonic music transcription

Ali Taylan Cemgil, Umut Simsekli, Yusuf Kenan Yilmaz, 2012, 2012 20th Signal Processing and Communications Applications Conference (SIU).

Independent-Variation Matrix Factorization With Application to Energy Disaggregation

Gaël Richard, Benoit Fuentes, Umut Simsekli, 2019, IEEE Signal Processing Letters.

Markov Chain Monte Carlo inference for probabilistic latent tensor factorization

Ali Taylan Cemgil, Umut Simsekli, A. Cemgil, 2012, 2012 IEEE International Workshop on Machine Learning for Signal Processing.

Score guided musical source separation using Generalized Coupled Tensor Factorization

Ali Taylan Cemgil, Umut Simsekli, A. Cemgil, 2012, 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO).

Optimal weight learning for Coupled Tensor Factorization with mixed divergences

Ali Taylan Cemgil, Beyza Ermis, Umut Simsekli, 2013, 21st European Signal Processing Conference (EUSIPCO 2013).

Generalized Sliced Distances for Probability Distributions pdf

Shahin Shahrampour, Soheil Kolouri, Umut Simsekli, 2020, ArXiv.

Extraction of Temporal Patterns in Multi-rate and Multi-modal Datasets

Antoine Liutkus, Ali Taylan Cemgil, Umut Simsekli, 2015, LVA/ICA.

Learning the Morphology of Brain Signals Using Alpha-Stable Convolutional Sparse Coding

Umut Simsekli, Alexandre Gramfort, Mainak Jas, 2017, NIPS.

Supervised Symbolic Music Style Translation Using Synthetic Data

Gaël Richard, Umut Simsekli, Ondrej Cífka, 2019, ISMIR.

Probabilistic Permutation Synchronization Using the Riemannian Structure of the Birkhoff Polytope

Umut Simsekli, Tolga Birdal, Umut Simsekli, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

A unified probabilistic framework for robust decoding of linear barcodes

Umut Simsekli, Tolga Birdal, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Asymptotic Guarantees for Learning Generative Models with the Sliced-Wasserstein Distance

Roland Badeau, Alain Durmus, Umut Simsekli, 2019, NeurIPS.

Non-negative source-filter dynamical system for speech enhancement

Jonathan Le Roux, John R. Hershey, Umut Simsekli, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Alpha-stable multichannel audio source separation

Antoine Liutkus, Roland Badeau, Gaël Richard, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Hierarchical and coupled non-negative dynamical systems with application to audio modeling

Jonathan Le Roux, John R. Hershey, Umut Simsekli, 2013, 2013 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics.

A factorization based recommender system for online services

Ali Taylan Cemgil, Umut Simsekli, Tolga Birdal, 2013, 2013 21st Signal Processing and Communications Applications Conference (SIU).

Asynchronous Stochastic Quasi-Newton MCMC for Non-Convex Optimization pdf

Ali Taylan Cemgil, Gaël Richard, Umut Simsekli, 2018, ICML.

Bayesian Allocation Model: Inference by Sequential Monte Carlo for Nonnegative Tensor Factorizations and Topic Models using Polya Urns pdf

Sinan Yildirim, Ali Taylan Cemgil, Umut Simsekli, 2019, ArXiv.

Hausdorff Dimension, Heavy Tails, and Generalization in Neural Networks

Murat A. Erdogdu, Umut Simsekli, Ozan Sener, 2020, NeurIPS.

Non-Asymptotic Analysis of Fractional Langevin Monte Carlo for Non-Convex Optimization

Gaël Richard, Umut Simsekli, Thanh Huy Nguyen, 2019, ICML.

Generalised Coupled Tensor Factorisation

Ali Taylan Cemgil, Y. K. Yilmaz, Umut Simsekli, 2011, NIPS.

Fast Approximation of the Sliced-Wasserstein Distance Using Concentration of Random Projections pdf

Roland Badeau, Alain Durmus, Pierre E. Jacob, 2021, NeurIPS.

Self-Supervised VQ-VAE for One-Shot Music Style Transfer

Gaël Richard, Alexey Ozerov, Umut Simsekli, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Heavy Tails in SGD and Compressibility of Overparametrized Neural Networks pdf

Murat A. Erdogdu, Umut Simsekli, Milad Sefidgaran, 2021, NeurIPS.

Asymmetric Heavy Tails and Implicit Bias in Gaussian Noise Injections pdf

Alexander Camuto, Umut Simsekli, Mert Gürbüzbalaban, 2021, ICML.

Relative Positional Encoding for Transformers with Linear Complexity pdf

Antoine Liutkus, Umut Simsekli, Ondrej Cífka, 2021, ICML.

Statistical and Topological Properties of Sliced Probability Divergences pdf

Shahin Shahrampour, Alain Durmus, Soheil Kolouri, 2020, NeurIPS.

Explicit Regularisation in Gaussian Noise Injections pdf

Matthew Willetts, Alexander Camuto, Umut Simsekli, 2020, NeurIPS.