A. Taylan Cemgil

Orcid: 0000-0003-4463-8455

Affiliations:
  • Bogaziçi University, Department of Computer Engineering


According to our database1, A. Taylan Cemgil authored at least 184 papers between 2000 and 2023.

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Bibliography

2023
Probabilistic indoor tracking of Bluetooth Low-Energy beacons.
Perform. Evaluation, November, 2023

Faster sorting algorithms discovered using deep reinforcement learning.
Nat., 2023

Conformal prediction under ambiguous ground truth.
CoRR, 2023

Evaluating AI systems under uncertain ground truth: a case study in dermatology.
CoRR, 2023

Generative models improve fairness of medical classifiers under distribution shifts.
CoRR, 2023

Modeling Hierarchical Seasonality Through Low-Rank Tensor Decompositions in Time Series Analysis.
IEEE Access, 2023

Transformers Meet Directed Graphs.
Proceedings of the International Conference on Machine Learning, 2023

2022
Dirichlet-Luce choice model for learning from interactions.
User Model. User Adapt. Interact., 2022

An indoor localization dataset and data collection framework with high precision position annotation.
Pervasive Mob. Comput., 2022

Does your dermatology classifier know what it doesn't know? Detecting the long-tail of unseen conditions.
Medical Image Anal., 2022

Tracking a Mobile Beacon: A Purely Probabilistic Approach.
Proceedings of the 30th International Symposium on Modeling, 2022

Evaluating the Adversarial Robustness of Adaptive Test-time Defenses.
Proceedings of the International Conference on Machine Learning, 2022

A Fine-Grained Analysis on Distribution Shift.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Learning Optimal Conformal Classifiers.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Role of Human-AI Interaction in Selective Prediction.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Bayesian Allocation Model: Marginal Likelihood-Based Model Selection for Count Tensors.
IEEE J. Sel. Top. Signal Process., 2021

Adaptive Sequential Monte Carlo Filter for Indoor Positioning and Tracking With Bluetooth Low Energy Beacons.
IEEE Access, 2021

Unbiased gradient estimation for variational auto-encoders using coupled Markov chains.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

2020
Data Sharing via Differentially Private Coupled Matrix Factorization.
ACM Trans. Knowl. Discov. Data, 2020

Clustering Event Streams With Low Rank Hawkes Processes.
IEEE Signal Process. Lett., 2020

Towards Fair Personalization by Avoiding Feedback Loops.
CoRR, 2020

Intermittent Demand Forecasting with Renewal Processes.
CoRR, 2020

Contrastive Training for Improved Out-of-Distribution Detection.
CoRR, 2020

Joint Source Separation and Classification Using Variational Autoencoders.
Proceedings of the 28th Signal Processing and Communications Applications Conference, 2020

The Autoencoding Variational Autoencoder.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Adversarially Robust Representations with Smooth Encoders.
Proceedings of the 8th International Conference on Learning Representations, 2020

Achieving Robustness in the Wild via Adversarial Mixing With Disentangled Representations.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Estimating Network Flow Length Distributions via Bayesian Nonnegative Tensor Factorization.
Wirel. Commun. Mob. Comput., 2019

Audio Source Separation Using Variational Autoencoders and Weak Class Supervision.
IEEE Signal Process. Lett., 2019

Discriminative tensor decomposition with large margin.
Digit. Signal Process., 2019

A Bayesian Choice Model for Eliminating Feedback Loops.
CoRR, 2019

Bayesian Allocation Model: Inference by Sequential Monte Carlo for Nonnegative Tensor Factorizations and Topic Models using Polya Urns.
CoRR, 2019

A framework for parallel second order incremental optimization algorithms for solving partially separable problems.
Comput. Optim. Appl., 2019

Comparison of Deep Generative Models for the Generation of Handwritten Character Images.
Proceedings of the 27th Signal Processing and Communications Applications Conference, 2019

Weak Label Supervision for Monaural Source Separation Using Non-negative Denoising Variational Autoencoders.
Proceedings of the 27th Signal Processing and Communications Applications Conference, 2019

Model selection for relational data factorization.
Proceedings of the 27th Signal Processing and Communications Applications Conference, 2019

Active Learning with Bayesian Nonnegative Matrix Factorization for Recommender Systems.
Proceedings of the 27th Signal Processing and Communications Applications Conference, 2019

Radio map estimation with neural networks and active learning for indoor localization.
Proceedings of the Short Paper Proceedings of the Tenth International Conference on Indoor Positioning and Indoor Navigation - Work-in-Progress Papers (IPIN-WiP 2019) co-located with the Tenth International Conference on Indoor Positioning and Indoor Navigation (IPIN 2019), Pisa, Italy, September 30th, 2019

2018
Efficient Bayesian Model Selection in PARAFAC via Stochastic Thermodynamic Integration.
IEEE Signal Process. Lett., 2018

A real-time SIP network simulation and monitoring system.
SoftwareX, 2018

Multiresolution alignment for multiple unsynchronized audio sequences using Sequential Monte Carlo samplers.
SoftwareX, 2018

A Bayesian change point model for detecting SIP-based DDoS attacks.
Digit. Signal Process., 2018

An intelligent cyber security system against DDoS attacks in SIP networks.
Comput. Networks, 2018

Active selection of elements for Bayesian nonnegative matrix factorization.
Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018

Approaches for reducing the computational budget of the metropolis hastings algorithm.
Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018

Anomaly detection on wind turbines.
Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018

Large scale ad click prediction system.
Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018

Testing for Self-excitation in Financial Events: A Bayesian Approach.
Proceedings of the ECML PKDD 2018 Workshops, 2018

EndoSensorFusion: Particle Filtering-Based Multi-Sensory Data Fusion with Switching State-Space Model for Endoscopic Capsule Robots.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Asynchronous Stochastic Quasi-Newton MCMC for Non-Convex Optimization.
Proceedings of the 35th International Conference on Machine Learning, 2018

Semi-Supervised Psychometric Scoring of Document Collections.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

Sum Conditioned Poisson Factorization.
Proceedings of the Latent Variable Analysis and Signal Separation, 2018

2017
Model-Based Localization and Tracking Using Bluetooth Low-Energy Beacons.
Sensors, 2017

Differentially Private Variational Dropout.
CoRR, 2017

Differentially Private Dropout.
CoRR, 2017

Change-point detection via switching Kalman filters.
Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

Deficiency aware subpattern assignment.
Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

Comparison of collaborative deep learning and nonnegative matrix factorization for recommender systems.
Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

Outlier detection on power consumption via non-negative tensor factorization models.
Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

Parallelized Stochastic Gradient Markov Chain Monte Carlo algorithms for non-negative matrix factorization.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Malicious users discrimination in organizec attacks using structured sparsity.
Proceedings of the 25th European Signal Processing Conference, 2017

Distributed particle filtering under real-time constraints.
Proceedings of the 25th European Signal Processing Conference, 2017

2016
Joint parameter and state estimation of the hemodynamic model by iterative extended Kalman smoother.
Biomed. Signal Process. Control., 2016

CLUSTERnGO: a user-defined modelling platform for two-stage clustering of time-series data.
Bioinform., 2016

Attack detection in VOIP networks using Bayesian multiple change-point models.
Proceedings of the 24th Signal Processing and Communication Application Conference, 2016

Text classification with coupled matrix factorization.
Proceedings of the 24th Signal Processing and Communication Application Conference, 2016

Detection of (D)DOS attacks based on online change point analysis.
Proceedings of the 24th Signal Processing and Communication Application Conference, 2016

The comparison of the performances of global nearest neighbor and probability hypothesis density filter for varying clutter rates.
Proceedings of the 24th Signal Processing and Communication Application Conference, 2016

A probabilistic SIP network simulation system.
Proceedings of the 24th Signal Processing and Communication Application Conference, 2016

Model based multiple musical sequence alignment using tempo extraction as preprocessing.
Proceedings of the 24th Signal Processing and Communication Application Conference, 2016

A Network Monitoring System for High Speed Network Traffic.
Proceedings of the 13th Annual IEEE International Conference on Sensing, 2016

Stochastic Quasi-Newton Langevin Monte Carlo.
Proceedings of the 33nd International Conference on Machine Learning, 2016

A generalized Bayesian model for tracking long metrical cycles in acoustic music signals.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Stochastic thermodynamic integration: Efficient Bayesian model selection via stochastic gradient MCMC.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Inferring Metrical Structure in Music Using Particle Filters.
IEEE ACM Trans. Audio Speech Lang. Process., 2015

A Probabilistic Model-Based Approach for Aligning Multiple Audio Sequences.
IEEE ACM Trans. Audio Speech Lang. Process., 2015

Alpha-Stable Matrix Factorization.
IEEE Signal Process. Lett., 2015

Bayesian changepoint and time-varying parameter learning in regime switching volatility models.
Digit. Signal Process., 2015

Non-negative tensor factorization models for Bayesian audio processing.
Digit. Signal Process., 2015

Special Issue in Honour of William J. (Bill) Fitzgerald.
Digit. Signal Process., 2015

Link prediction in heterogeneous data via generalized coupled tensor factorization.
Data Min. Knowl. Discov., 2015

HAMSI: Distributed Incremental Optimization Algorithm Using Quadratic Approximations for Partially Separable Problems.
CoRR, 2015

An application of deep learning for trade signal prediction in financial markets.
Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015

Dialogue enhancement using kernel additive modelling.
Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015

DRENAJ: Distributed social media data collection system.
Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015

Particle Filters for Efficient Meter Tracking with Dynamic Bayesian Networks.
Proceedings of the 16th International Society for Music Information Retrieval Conference, 2015

Learning mixed divergences in coupled matrix and tensor factorization models.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Section-level modeling of musical audio for linking performances to scores in Turkish makam music.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Extraction of Temporal Patterns in Multi-rate and Multi-modal Datasets.
Proceedings of the Latent Variable Analysis and Signal Separation, 2015

2014
Bayesian Model Comparison With the g-Prior.
IEEE Trans. Signal Process., 2014

Probabilistic sequence clustering with spectral learning.
Digit. Signal Process., 2014

An Online Expectation-Maximisation Algorithm for Nonnegative Matrix Factorisation Models.
CoRR, 2014

Clustering Words by Projection Entropy.
CoRR, 2014

Variational Inference For Probabilistic Latent Tensor Factorization with KL Divergence.
CoRR, 2014

A Bayesian Tensor Factorization Model via Variational Inference for Link Prediction.
CoRR, 2014

Sequential Monte Carlo samplers for marginal likelihood computation in multiplicative exponential noise models.
Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014

Query ranking strategies in probabilistic expert systems.
Proceedings of the 2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014

Political interest and tendency prediction from microblog data.
Proceedings of the 2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014

Tempo tracking by using a parallel particle filter on the GPU.
Proceedings of the 2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014

Comparison of sampling strategies for flow length estimation.
Proceedings of the 2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014

Analysis of effect of single-channel speech-music separation using NMF to automatic speech recognition.
Proceedings of the 2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014

Liver CT Annotation via Generalized Coupled Tensor Factorization.
Proceedings of the Working Notes for CLEF 2014 Conference, 2014

2013
Single-Channel Speech-Music Separation for Robust ASR With Mixture Models.
IEEE Trans. Speech Audio Process., 2013

Spectral learning of mixtures of Hidden Markov Models.
Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

Sequential Monte Carlo samplers for model-based reinforcement learning.
Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

A factorization based recommender system for online services.
Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

Optimal contraction order of multiple tensors.
Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

Low rank matrix completion via random sampling.
Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

Generalized coupled symmetric tensor factorization for link prediction.
Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

Model based audio sequence alignment based on deterministic similarity methods.
Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

ID for data with multiple clusters.
Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

Summary Statistics for Partitionings and Feature Allocations.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Learning the beta-Divergence in Tweedie Compound Poisson Matrix Factorization Models.
Proceedings of the 30th International Conference on Machine Learning, 2013

SMC samplers for multiresolution audio sequence alignment.
Proceedings of the IEEE International Conference on Acoustics, 2013

Optimal weight learning for Coupled Tensor Factorization with mixed divergences.
Proceedings of the 21st European Signal Processing Conference, 2013

2012
Algorithms for probabilistic latent tensor factorization.
Signal Process., 2012

Combined perception and control for timing in robotic music performances.
EURASIP J. Audio Speech Music. Process., 2012

Alpha/Beta Divergences and Tweedie Models
CoRR, 2012

Link Prediction via Generalized Coupled Tensor Factorisation
CoRR, 2012

Importance sampling for model-based reinforcement learning.
Proceedings of the 20th Signal Processing and Communications Applications Conference, 2012

Coupled tensor factorization models for polyphonic music transcription.
Proceedings of the 20th Signal Processing and Communications Applications Conference, 2012

Parallel generalized tensor multiplication.
Proceedings of the 20th Signal Processing and Communications Applications Conference, 2012

Multiple change point analysis in random graph series.
Proceedings of the 20th Signal Processing and Communications Applications Conference, 2012

Infinite mixture of piecewise linear sequences.
Proceedings of the 20th Signal Processing and Communications Applications Conference, 2012

Catalog-based single-channel speech-music separation for automatic speech recognition.
Proceedings of the 20th Signal Processing and Communications Applications Conference, 2012

SVD-based polyphonic music transcription.
Proceedings of the 20th Signal Processing and Communications Applications Conference, 2012

Markov Chain Monte Carlo inference for probabilistic latent tensor factorization.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Probabilistic interpolative decomposition.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Effect of speech priors in single-channel speech-music separation for ASR.
Proceedings of the INTERSPEECH 2012, 2012

Score guided audio restoration via generalised coupled tensor factorisation.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Network management without payload inspection: Application classification via statistical analysis of bulk flow data.
Proceedings of the 2012 Future Network & Mobile Summit, Berlin, Germany, July 4-6, 2012, 2012

Score guided musical source separation using Generalized Coupled Tensor Factorization.
Proceedings of the 20th European Signal Processing Conference, 2012

Catalog-based single-channel speech-music separation with the Itakura-Saito divergence.
Proceedings of the 20th European Signal Processing Conference, 2012

Large scale polyphonic music transcription using randomized matrix decompositions.
Proceedings of the 20th European Signal Processing Conference, 2012

2011
Bayesian Interpolation and Parameter Estimation in a Dynamic Sinusoidal Model.
IEEE Trans. Speech Audio Process., 2011

Annealed SMC Samplers for Nonparametric Bayesian Mixture Models.
IEEE Signal Process. Lett., 2011

Real-Time Recognition of Percussive Sounds by a Model-Based Method.
EURASIP J. Adv. Signal Process., 2011

Probabilistic latent tensor factorization framework for audio modeling.
Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2011

Model based multiple audio sequence alignment.
Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2011

Generalised Coupled Tensor Factorisation.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Semi-Supervised Single-Channel Speech-Music Separation for Automatic Speech Recognition.
Proceedings of the INTERSPEECH 2011, 2011

DTW Based Clustering to Improve Hand Gesture Recognition.
Proceedings of the Human Behavior Unterstanding - Second International Workshop, 2011

Catalog-based single-channel speech-music separation for automatic speech recognition.
Proceedings of the 19th European Signal Processing Conference, 2011

Gain estimation approaches in catalog-based single-channel speech-music separation.
Proceedings of the 2011 IEEE Workshop on Automatic Speech Recognition & Understanding, 2011

2010
A Bayesian Deconvolution Approach for Receiver Function Analysis.
IEEE Trans. Geosci. Remote. Sens., 2010

Generative Spectrogram Factorization Models for Polyphonic Piano Transcription.
IEEE Trans. Speech Audio Process., 2010

Gamma Markov Random Fields for Audio Source Modeling.
IEEE Trans. Speech Audio Process., 2010

Graphical Models for Time-Series.
IEEE Signal Process. Mag., 2010

Sequential Monte Carlo Samplers for Dirichlet Process Mixtures.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Catalog-based single-channel speech-music separation.
Proceedings of the INTERSPEECH 2010, 2010

Annealed SMC Samplers for Dirichlet Process Mixture Models.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Bayesian Inference for Nonnegative Matrix Factor Deconvolution Models.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Probabilistic Latent Tensor Factorization.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010

Bayesian interpolation in a dynamic sinusoidal model with application to packet-loss concealment.
Proceedings of the 18th European Signal Processing Conference, 2010

2009
Approximate Bayesian methods for kernel-based object tracking.
Comput. Vis. Image Underst., 2009

Bayesian Inference for Nonnegative Matrix Factorisation Models.
Comput. Intell. Neurosci., 2009

Unsupervised single-channel source separation using bayesian NMF.
Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2009

Mixtures of Gamma Priors for Non-negative Matrix Factorization Based Speech Separation.
Proceedings of the Independent Component Analysis and Signal Separation, 2009

A hybrid method for deconvolution of Bernoulli-Gaussian processes.
Proceedings of the IEEE International Conference on Acoustics, 2009

Nonnegative matrix factorizations as probabilistic inference in composite models.
Proceedings of the 17th European Signal Processing Conference, 2009

2008
Bayesian hierarchical models and inference for musical audio processing.
Proceedings of the Third International Symposium on Wireless Pervasive Computing, 2008

Bayesian extensions to non-negative matrix factorisation for audio signal modelling.
Proceedings of the IEEE International Conference on Acoustics, 2008

2007
Variational and stochastic inference for Bayesian source separation.
Digit. Signal Process., 2007

Bayesian methods for multimedia signal processing.
Proceedings of the 15th International Conference on Multimedia 2007, 2007

A Probabilistic Framework for Matching Music Representations.
Proceedings of the 8th International Conference on Music Information Retrieval, 2007

Sequential Inference of Rhythmic Structure in Musical Audio.
Proceedings of the IEEE International Conference on Acoustics, 2007

Strategies for Sequential Inference in Factorial Switching State Space Models.
Proceedings of the IEEE International Conference on Acoustics, 2007

Conjugate Gamma Markov Random Fields for Modelling Nonstationary Sources.
Proceedings of the Independent Component Analysis and Signal Separation, 2007

Bayesian computational methods for sparse audio and music processing.
Proceedings of the 15th European Signal Processing Conference, 2007

2006
A generative model for music transcription.
IEEE Trans. Speech Audio Process., 2006

Bayesian Modelling of Temporal Structure in Musical Audio.
Proceedings of the ISMIR 2006, 2006

Dynamic Bayesian Networks for Visual Surveillance with Distributed Cameras.
Proceedings of the Smart Sensing and Context, First European Conference, EuroSSC 2006, 2006

2005
Probabilistic phase vocoder and its application to interpolation of missing values in audio signals.
Proceedings of the 13th European Signal Processing Conference, 2005

Blind separation of sparse sources using variational EM.
Proceedings of the 13th European Signal Processing Conference, 2005

A Hybrid Graphical Model for Robust Feature Extraction from Video.
Proceedings of the BNAIC 2005, 2005

2004
Tracking Humans.
Proceedings of the Building the Information Society, 2004

Online Multicamera Tracking with a Switching State-Space Model.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

Polyphonic Pitch Identification and Bayesian Inference.
Proceedings of the 2004 International Computer Music Conference, 2004

2003
Monte Carlo Methods for Tempo Tracking and Rhythm Quantization.
J. Artif. Intell. Res., 2003

2002
Integrating Tempo Tracking and Quantization using Particle Filtering.
Proceedings of the 2002 International Computer Music Conference, 2002

2001
Tempo tracking and rhythm quantization by sequential Monte Carlo.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Bayesian Real-time Adaptation for Interactive Performance Systems.
Proceedings of the 2001 International Computer Music Conference, 2001

2000
Rhythm Quantization for Transcription.
Comput. Music. J., 2000

On tempo tracking: Tempogram Representation and Kalman filtering.
Proceedings of the 2000 International Computer Music Conference, 2000


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