Two stage transform vector quantization of LSFs for wideband speech coding. - Saikat Chatterjee; T. V. Sreenivas (INTERSPEECH, 2006)

Comparison of prediction based LSF quantization methods using split VQ. - Saikat Chatterjee; T. V. Sreenivas (INTERSPEECH, 2006)

Sequential Split Vector Quantization of LSF Parameters using Conditional Pdf. - Saikat Chatterjee; Thippur V. Sreenivas (ICASSP (4), 2007)

Normalized two stage SVQ for minimum complexity wide-band LSF quantization. - Saikat Chatterjee; Thippur V. Sreenivas (INTERSPEECH, 2007)

Computationally efficient optimum weighting function for vector quantization of LSF parameters. - Saikat Chatterjee; Thippur V. Sreenivas (ISSPA, 2007)

Joint inter-frame and intra-frame predictive coding of LSF parameters. - Saikat Chatterjee; Thippur V. Sreenivas (ISSPA, 2007)

Conditional PDF-Based Split Vector Quantization of Wideband LSF Parameters. - Saikat Chatterjee; Thippur V. Sreenivas (IEEE Signal Process. Lett., 2007)

Analysis of Conditional PDF-Based Split VQ. - Saikat Chatterjee; Thippur V. Sreenivas (IEEE Signal Process. Lett., 2007)

Low complexity wideband LSF quantization using GMM of uncorrelated Gaussian mixtures. - Saikat Chatterjee; Thippur V. Sreenivas (EUSIPCO, 2008)

Speech enhancement using intra-frame dependency in DCT domain. - Achintya Kundu; Saikat Chatterjee; Thippur V. Sreenivas (EUSIPCO, 2008)

GMM based Bayesian approach to speech enhancement in signal / transform domain. - Achintya Kundu; Saikat Chatterjee; A. Sreenivasa Murthy; T. V. Sreenivas (ICASSP, 2008)

Subspace based speech enhancement using Gaussian mixture model. - Achintya Kundu; Saikat Chatterjee; T. V. Sreenivas (INTERSPEECH, 2008)

Optimum switched split vector quantization of LSF parameters. - Saikat Chatterjee; T. V. Sreenivas (Signal Process., 2008)

Switched Conditional PDF-Based Split VQ Using Gaussian Mixture Model. - Saikat Chatterjee; Thippur V. Sreenivas (IEEE Signal Process. Lett., 2008)

Predicting VQ Performance Bound for LSF Coding. - Saikat Chatterjee; Thippur V. Sreenivas (IEEE Signal Process. Lett., 2008)

Optimum Transform Domain Split VQ. - Saikat Chatterjee; Thippur V. Sreenivas (IEEE Signal Process. Lett., 2008)

Analysis-by-synthesis based switched transform domain split VQ using Gaussian mixture model. - Saikat Chatterjee; Thippur V. Sreenivas (ICASSP, 2009)

Auditory model based optimization of MFCCs improves automatic speech recognition performance. - Saikat Chatterjee; Christos Koniaris; W. Bastiaan Kleijn (INTERSPEECH, 2009)

Reduced complexity two stage vector quantization. - Saikat Chatterjee; Thippur V. Sreenivas (Digit. Signal Process., 2009)

Structured Gaussian mixture model based product VQ. - Saikat Chatterjee; Mikael Skoglund (EUSIPCO, 2010)

Auditory model based modified MFCC features. - Saikat Chatterjee; W. Bastiaan Kleijn (ICASSP, 2010)

Selecting static and dynamic features using an advanced auditory model for speech recognition. - Christos Koniaris; Saikat Chatterjee; W. Bastiaan Kleijn (ICASSP, 2010)

A ratification of means: international law and assistive technology in the developing world. - Joyojeet Pal; Anjali Vartak; Vrutti Vyas; Saikat Chatterjee; Nektarios Paisios; Rahul Cherian (ICTD, 2010)

Statistical post-processing improves basis pursuit denoising performance. - Saikat Chatterjee; Dennis Sundman; Mikael Skoglund (ISSPIT, 2010)

On the use of compressive sampling for wide-band spectrum sensing. - Dennis Sundman; Saikat Chatterjee; Mikael Skoglund (ISSPIT, 2010)

Hybrid greedy pursuit. - Saikat Chatterjee; Dennis Sundman; Mikko Vehkaperä; Mikael Skoglund (EUSIPCO, 2011)

Greedy pursuits for compressed sensing of jointly sparse signals. - Dennis Sundman; Saikat Chatterjee; Mikael Skoglund (EUSIPCO, 2011)

Look ahead orthogonal matching pursuit. - Saikat Chatterjee; Dennis Sundman; Mikael Skoglund (ICASSP, 2011)

Gaussian mixture modeling for source localization. - John T. Flåm; Joakim Jaldén; Saikat Chatterjee (ICASSP, 2011)

Analysis of MMSE estimation for compressive sensing of block sparse signals. - Mikko Vehkaperä; Saikat Chatterjee; Mikael Skoglund (ITW, 2011)

Look ahead parallel pursuit. - Dennis Sundman; Saikat Chatterjee; Mikael Skoglund (Swe-CTW, 2011)

Auditory Model-Based Design and Optimization of Feature Vectors for Automatic Speech Recognition. - Saikat Chatterjee; W. Bastiaan Kleijn (IEEE Trans. Speech Audio Process., 2011)

Fusion of Greedy Pursuits for compressed sensing signal reconstruction. - Sooraj K. Ambat; Saikat Chatterjee; K. V. S. Hari (EUSIPCO, 2012)

Detection of sparse random signals using compressive measurements. - Bhavani Shankar Mysore Rama Rao; Saikat Chatterjee; Björn E. Ottersten (ICASSP, 2012)

A greedy pursuit algorithm for distributed compressed sensing. - Dennis Sundman; Saikat Chatterjee; Mikael Skoglund (ICASSP, 2012)

Dynamic subspace pursuit. - Dave Zachariah; Saikat Chatterjee; Magnus Jansson (ICASSP, 2012)

Performance bounds for vector quantized compressive sensing. - Amirpasha Shirazinia; Saikat Chatterjee; Mikael Skoglund (ISITA, 2012)

Analysis of sparse representations using bi-orthogonal dictionaries. - Mikko Vehkaperä; Yoshiyuki Kabashima; Saikat Chatterjee; Erik Aurell; Mikael Skoglund; Lars K. Rasmussen (ITW, 2012)

FROGS: A serial reversible greedy search algorithm. - Dennis Sundman; Saikat Chatterjee; Mikael Skoglund (Swe-CTW, 2012)

Fusion of Matching Pursuits for Compressed Sensing Signal Reconstruction - Sooraj K. Ambat; Saikat Chatterjee; K. V. S. Hari (CoRR, 2012)

Typical l1-recovery limit of sparse vectors represented by concatenations of random orthogonal matrices - Yoshiyuki Kabashima; Mikko Vehkaperä; Saikat Chatterjee (CoRR, 2012)

Alternating Least-Squares for Low-Rank Matrix Reconstruction. - Dave Zachariah; Martin Sundin; Magnus Jansson; Saikat Chatterjee (IEEE Signal Process. Lett., 2012)

Projection-Based and Look-Ahead Strategies for Atom Selection. - Saikat Chatterjee; Dennis Sundman; Mikko Vehkaperä; Mikael Skoglund (IEEE Trans. Signal Process., 2012)

On MMSE Estimation: A Linear Model Under Gaussian Mixture Statistics. - John T. Flåm; Saikat Chatterjee; Kimmo Kansanen; Torbjörn Ekman 002 (IEEE Trans. Signal Process., 2012)

Dynamic Iterative Pursuit. - Dave Zachariah; Saikat Chatterjee; Magnus Jansson (IEEE Trans. Signal Process., 2012)

Enhanced Capon beamformer using regularized covariance matching. - Dave Zachariah; Magnus Jansson; Saikat Chatterjee (CAMSAP, 2013)

Conditional prior based lmmse estimation of sparse signals. - Martin Sundin; Magnus Jansson; Saikat Chatterjee (EUSIPCO, 2013)

Statistical mechanics approach to sparse noise denoising. - Mikko Vehkaperä; Yoshiyuki Kabashima; Saikat Chatterjee (EUSIPCO, 2013)

Parallel pursuit for distributed compressed sensing. - Dennis Sundman; Saikat Chatterjee; Mikael Skoglund (GlobalSIP, 2013)

Pilot design for MIMO channel estimation: An alternative to the Kronecker structure assumption. - John T. Flåm; Emil Björnson; Saikat Chatterjee (ICASSP, 2013)

Channel-optimized vector quantizer design for compressed sensing measurements. - Amirpasha Shirazinia; Saikat Chatterjee; Mikael Skoglund (ICASSP, 2013)

Analysis-by-synthesis-based quantization of compressed sensing measurements. - Amirpasha Shirazinia; Saikat Chatterjee; Mikael Skoglund (ICASSP, 2013)

Distributed predictive subspace pursuit. - Dennis Sundman; Dave Zachariah; Saikat Chatterjee; Mikael Skoglund (ICASSP, 2013)

Iteratively reweighted least squares for reconstruction of low-rank matrices with linear structure. - Dave Zachariah; Saikat Chatterjee; Magnus Jansson (ICASSP, 2013)

Line spectrum estimation with probabilistic priors. - Dave Zachariah; Petter Wirfält; Magnus Jansson; Saikat Chatterjee (Signal Process., 2013)

Fusion of Algorithms for Compressed Sensing. - Sooraj K. Ambat; Saikat Chatterjee; K. V. S. Hari (IEEE Trans. Signal Process., 2013)

The Linear Model Under Mixed Gaussian Inputs: Designing the Transfer Matrix. - John T. Flåm; Dave Zachariah; Mikko Vehkaperä; Saikat Chatterjee (IEEE Trans. Signal Process., 2013)

Analysis-by-Synthesis Quantization for Compressed Sensing Measurements. - Amirpasha Shirazinia; Saikat Chatterjee; Mikael Skoglund (IEEE Trans. Signal Process., 2013)

Piecewise Toeplitz matrices-based sensing for rank minimization. - Kezhi Li; Cristian R. Rojas; Saikat Chatterjee; Håkan Hjalmarsson (EUSIPCO, 2014)

Combined modeling of sparse and dense noise improves Bayesian RVM. - Martin Sundin; Saikat Chatterjee; Magnus Jansson (EUSIPCO, 2014)

Distributed quantization for compressed sensing. - Amirpasha Shirazinia; Saikat Chatterjee; Mikael Skoglund (ICASSP, 2014)

Reduced Look Ahead Orthogonal Matching Pursuit. - Prateek Basavapur Swamy; Sooraj K. Ambat; Saikat Chatterjee; K. V. S. Hari (NCC, 2014)

A sparsity based preprocessing for noise robust speech recognition. - Christos Koniaris; Saikat Chatterjee (SLT, 2014)

SEK: sparsity exploiting k-mer-based estimation of bacterial community composition. - Saikat Chatterjee; David Koslicki; Siyuan Dong; Nicolas Innocenti; Lu Cheng 004; Yueheng Lan; Mikko Vehkaperä; Mikael Skoglund; Lars K. Rasmussen; Erik Aurell; Jukka Corander (Bioinform., 2014)

Alternating Strategies Are Good For Low-Rank Matrix Reconstruction. - Kezhi Li; Martin Sundin; Cristian R. Rojas; Saikat Chatterjee; Magnus Jansson (CoRR, 2014)

Distributed Quantization for Measurement of Correlated Sparse Sources over Noisy Channels. - Amirpasha Shirazinia; Saikat Chatterjee; Mikael Skoglund (CoRR, 2014)

Relevance Singular Vector Machine for low-rank matrix sensing. - Martin Sundin; Saikat Chatterjee; Magnus Jansson; Cristian R. Rojas (CoRR, 2014)

DIPP - Distributed Parallel Pursuit. - Dennis Sundman; Saikat Chatterjee; Mikael Skoglund (CoRR, 2014)

Analysis of Democratic Voting Principles used in Distributed Greedy Algorithms. - Dennis Sundman; Saikat Chatterjee; Mikael Skoglund (CoRR, 2014)

Methods for Distributed Compressed Sensing. - Dennis Sundman; Saikat Chatterjee; Mikael Skoglund (J. Sens. Actuator Networks, 2014)

Progressive fusion of reconstruction algorithms for low latency applications in compressed sensing. - Sooraj K. Ambat; Saikat Chatterjee; K. V. S. Hari (Signal Process., 2014)

Dirichlet mixture modeling to estimate an empirical lower bound for LSF quantization. - Zhanyu Ma; Saikat Chatterjee; W. Bastiaan Kleijn; Jun Guo 002 (Signal Process., 2014)

Distributed greedy pursuit algorithms. - Dennis Sundman; Saikat Chatterjee; Mikael Skoglund (Signal Process., 2014)

A Committee Machine Approach for Compressed Sensing Signal Reconstruction. - Sooraj K. Ambat; Saikat Chatterjee; K. V. S. Hari (IEEE Trans. Signal Process., 2014)

Joint Source-Channel Vector Quantization for Compressed Sensing. - Amirpasha Shirazinia; Saikat Chatterjee; Mikael Skoglund (IEEE Trans. Signal Process., 2014)

Estimation for the Linear Model With Uncertain Covariance Matrices. - Dave Zachariah; Nafiseh Shariati; Mats Bengtsson; Magnus Jansson; Saikat Chatterjee (IEEE Trans. Signal Process., 2014)

A 65 nm standard cell library for ultra low-power applications. - Marten Vohrmann; Saikat Chatterjee; Sven Lütkemeier; Thorsten Jungeblut; Mario Porrmann; Ulrich Rückert 001 (ECCTD, 2015)

Bayesian learning for time-varying linear prediction of speech. - Adria Casamitjana; Martin Sundin; Prasanta Kumar Ghosh; Saikat Chatterjee (EUSIPCO, 2015)

Bayesian learning for robust principal component analysis. - Martin Sundin; Saikat Chatterjee; Magnus Jansson (EUSIPCO, 2015)

Graph linear prediction results in smaller error than standard linear prediction. - Arun Venkitaraman; Saikat Chatterjee; Peter Handel (EUSIPCO, 2015)

Universal algorithm for compressive sampling. - Ahmed Zaki; Saikat Chatterjee; Lars K. Rasmussen (EUSIPCO, 2015)

Greedy minimization of l1-norm with high empirical success. - Martin Sundin; Saikat Chatterjee; Magnus Jansson (ICASSP, 2015)

Bayesian Learning for Low-Rank matrix reconstruction. - Martin Sundin; Cristian R. Rojas; Magnus Jansson; Saikat Chatterjee (CoRR, 2015)

Bayesian Cramer-Rao bounds for factorized model based low rank matrix reconstruction. - Martin Sundin; Saikat Chatterjee; Magnus Jansson (EUSIPCO, 2016)

Automatic Recognition of Social Roles Using Long Term Role Transitions in Small Group Interactions. - Gaurav Fotedar; Aditya Gaonkar P.; Saikat Chatterjee; Prasanta Kumar Ghosh (INTERSPEECH, 2016)

Hilbert Transform, Analytic Signal, and Modulation Analysis for Graph Signal Processing. - Arun Venkitaraman; Saikat Chatterjee; Peter Händel (CoRR, 2016)

Alternating strategies with internal ADMM for low-rank matrix reconstruction. - Kezhi Li; Martin Sundin; Cristian R. Rojas; Saikat Chatterjee; Magnus Jansson (Signal Process., 2016)

Analysis of Regularized LS Reconstruction and Random Matrix Ensembles in Compressed Sensing. - Mikko Vehkaperä; Yoshiyuki Kabashima; Saikat Chatterjee (IEEE Trans. Inf. Theory, 2016)

Relevance Singular Vector Machine for Low-Rank Matrix Reconstruction. - Martin Sundin; Cristian R. Rojas; Magnus Jansson; Saikat Chatterjee (IEEE Trans. Signal Process., 2016)

Design and Analysis of a Greedy Pursuit for Distributed Compressed Sensing. - Dennis Sundman; Saikat Chatterjee; Mikael Skoglund (IEEE Trans. Signal Process., 2016)

A connectedness constraint for learning sparse graphs. - Martin Sundin; Arun Venkitaraman; Magnus Jansson; Saikat Chatterjee (EUSIPCO, 2017)

Distributed greedy sparse learning over doubly stochastic networks. - Ahmed Zaki; Arun Venkitaraman; Saikat Chatterjee; Lars K. Rasmussen (EUSIPCO, 2017)

Kernel Regression for Signals over Graphs. - Arun Venkitaraman; Saikat Chatterjee; Peter Händel (CoRR, 2017)

Progressive Learning for Systematic Design of Large Neural Networks. - Saikat Chatterjee; Alireza M. Javid; Mostafa Sadeghi; Partha P. Mitra; Mikael Skoglund (CoRR, 2017)

Large Neural Network Based Detection of Apnea, Bradycardia and Desaturation Events. - Antoine Honoré; Veronica Siljehav; Saikat Chatterjee; Eric Herlenius (CoRR, 2017)

Generalized fusion algorithm for compressive sampling reconstruction and RIP-based analysis. - Ahmed Zaki; Saikat Chatterjee; Lars K. Rasmussen (Signal Process., 2017)

Extreme Learning Machine for Graph Signal Processing. - Arun Venkitaraman; Saikat Chatterjee; Peter Handel (EUSIPCO, 2018)

Distributed Large Neural Network with Centralized Equivalence. - Xinyue Liang; Alireza M. Javid; Mikael Skoglund; Saikat Chatterjee (ICASSP, 2018)

Multi-Kernel Regression for Graph Signal Processing. - Arun Venkitaraman; Saikat Chatterjee; Peter Handel (ICASSP, 2018)

Mutual Information Preserving Analysis of a Single Layer Feedforward Network. - Alireza M. Javid; Saikat Chatterjee; Mikael Skoglund (ISWCS, 2018)

R3Net: Random Weights, Rectifier Linear Units and Robustness for Artificial Neural Network. - Arun Venkitaraman; Alireza M. Javid; Saikat Chatterjee (CoRR, 2018)

Locally Convex Sparse Learning over Networks. - Ahmed Zaki; Saikat Chatterjee; Partha P. Mitra; Lars K. Rasmussen (CoRR, 2018)

Supervised Linear Regression for Graph Learning from Graph Signals. - Arun Venkitaraman; Hermina Petric Maretic; Saikat Chatterjee; Pascal Frossard (CoRR, 2018)

Greedy Sparse Learning Over Network. - Ahmed Zaki; Arun Venkitaraman; Saikat Chatterjee; Lars Kildehoj Rasmussen (IEEE Trans. Signal Inf. Process. over Networks, 2018)

Sparse Signal Recovery Using Iterative Proximal Projection. - Fateme Ghayem; Mostafa Sadeghi; Massoud Babaie-Zadeh; Saikat Chatterjee; Mikael Skoglund; Christian Jutten (IEEE Trans. Signal Process., 2018)

LOSoft: ℓ0 Minimization via Soft Thresholding. - Mostafa Sadeghi; Fateme Ghayem; Massoud Babaie-Zadeh; Saikat Chatterjee; Mikael Skoglund; Christian Jutten (EUSIPCO, 2019)

Convex Optimization Based Sparse Learning Over Networks. - Ahmed Zaki; Saikat Chatterjee (EUSIPCO, 2019)

α Belief Propagation as Fully Factorized Approximation. - Dong Liu 009; Nima N. Moghadam; Lars K. Rasmussen; Jinliang Huang; Saikat Chatterjee (GlobalSIP, 2019)

Entropy-regularized Optimal Transport Generative Models. - Dong Liu 009; Minh Thành Vu; Saikat Chatterjee; Lars K. Rasmussen (ICASSP, 2019)

Kernel Regression for Graph Signal Prediction in Presence of Sparse Noise. - Arun Venkitaraman; Pascal Frossard; Saikat Chatterjee (ICASSP, 2019)

SSFN: Self Size-estimating Feed-forward Network and Low Complexity Design. - Saikat Chatterjee; Alireza M. Javid; Mostafa Sadeghi; Shumpei Kikuta; Partha P. Mitra; Mikael Skoglund (CoRR, 2019)

On Hilbert transform, analytic signal, and modulation analysis for signals over graphs. - Arun Venkitaraman; Saikat Chatterjee; Peter Händel (Signal Process., 2019)

Estimate exchange over network is good for distributed hard thresholding pursuit. - Ahmed Zaki; Partha P. Mitra; Lars K. Rasmussen; Saikat Chatterjee (Signal Process., 2019)

Predicting Graph Signals Using Kernel Regression Where the Input Signal is Agnostic to a Graph. - Arun Venkitaraman; Saikat Chatterjee; Peter Händel (IEEE Trans. Signal Inf. Process. over Networks, 2019)

Dual sentence representation model integrating prior knowledge for bio-text-mining. - Zhijing Li 005; YangYang Lan; Saikat Chatterjee; Pargorn Puttapirat; Xiangrong Zhang; Chen Li 011 (BIBM, 2020)

Powering Hidden Markov Model by Neural Network Based Generative Models. - Dong Liu 009; Antoine Honoré; Saikat Chatterjee; Lars K. Rasmussen (ECAI, 2020)

Adaptive Learning without Forgetting via Low-Complexity Convex Networks. - Alireza M. Javid; Xinyue Liang; Mikael Skoglund; Saikat Chatterjee (EUSIPCO, 2020)

Learning without Forgetting for Decentralized Neural Nets with Low Communication Overhead. - Xinyue Liang; Alireza M. Javid; Mikael Skoglund; Saikat Chatterjee (EUSIPCO, 2020)

Design of a Non-negative Neural Network to Improve on NMF. - Filip Wen-Fwu Tsai; Alireza M. Javid; Saikat Chatterjee (EUSIPCO, 2020)

Hidden Markov Models for Sepsis Detection in Preterm Infants. - Antoine Honoré; Dong Liu 009; David Forsberg; Karen Coste; Eric Herlenius; Saikat Chatterjee; Mikael Skoglund (ICASSP, 2020)

High-Dimensional Neural Feature Using Rectified Linear Unit And Random Matrix Instance. - Alireza M. Javid; Arun Venkitaraman; Mikael Skoglund; Saikat Chatterjee (ICASSP, 2020)

Asynchrounous Decentralized Learning of a Neural Network. - Xinyue Liang; Alireza M. Javid; Mikael Skoglund; Saikat Chatterjee (ICASSP, 2020)

Gaussian Processes Over Graphs. - Arun Venkitaraman; Saikat Chatterjee; Peter Handel (ICASSP, 2020)

Recursive Prediction of Graph Signals With Incoming Nodes. - Arun Venkitaraman; Saikat Chatterjee; Bo Wahlberg (ICASSP, 2020)

Neural Network based Explicit Mixture Models and Expectation-maximization based Learning. - Dong Liu 009; Minh Thành Vu; Saikat Chatterjee; Lars K. Rasmussen (IJCNN, 2020)

A Low Complexity Decentralized Neural Net with Centralized Equivalence using Layer-wise Learning. - Xinyue Liang; Alireza M. Javid; Mikael Skoglund; Saikat Chatterjee (IJCNN, 2020)

Robust Classification Using Hidden Markov Models and Mixtures of Normalizing Flows. - Anubhab Ghosh; Antoine Honoré; Dong Liu 009; Gustav Eje Henter; Saikat Chatterjee (MLSP, 2020)

Asynchronous Decentralized Learning of a Neural Network. - Xinyue Liang; Alireza M. Javid; Mikael Skoglund; Saikat Chatterjee (CoRR, 2020)

Predictive Analysis of COVID-19 Time-series Data from Johns Hopkins University. - Alireza M. Javid; Xinyue Liang; Arun Venkitaraman; Saikat Chatterjee (CoRR, 2020)

Statistical model-based evaluation of neural networks. - Sandipan Das; Prakash B. Gohain; Alireza M. Javid; Yonina C. Eldar; Saikat Chatterjee (CoRR, 2020)

High-dimensional neural feature design for layer-wise reduction of training cost. - Alireza M. Javid; Arun Venkitaraman; Mikael Skoglund; Saikat Chatterjee (EURASIP J. Adv. Signal Process., 2020)

Online Spatiotemporal Popularity Learning via Variational Bayes for Cooperative Caching. - Sajad Mehrizi; Saikat Chatterjee; Symeon Chatzinotas; Björn E. Ottersten (IEEE Trans. Commun., 2020)

Use of Deterministic Transforms to Design Weight Matrices of a Neural Network. - Pol Grau Jurado; Xinyue Liang; Alireza M. Javid; Saikat Chatterjee (EUSIPCO, 2021)

A ReLU Dense Layer to Improve the Performance of Neural Networks. - Alireza M. Javid; Sandipan Das; Mikael Skoglund; Saikat Chatterjee (ICASSP, 2021)

Feature Reuse for a Randomization Based Neural Network. - Xinyue Liang; Mikael Skoglund; Saikat Chatterjee (ICASSP, 2021)

Detecting Signal Corruptions in Voice Recordings For Speech Therapy. - Helmer Nylén; Saikat Chatterjee; Sten Ternström (ICASSP, 2021)

Asynchronous Decentralized Learning of Randomization-Based Neural Networks. - Xinyue Liang; Alireza M. Javid; Mikael Skoglund; Saikat Chatterjee (IJCNN, 2021)

Normalizing Flow based Hidden Markov Models for Classification of Speech Phones with Explainability. - Anubhab Ghosh; Antoine Honoré; Dong Liu 009; Gustav Eje Henter; Saikat Chatterjee (CoRR, 2021)

Time-varying Normalizing Flow for Generative Modeling of Dynamical Signals. - Anubhab Ghosh; Aleix Espuña Fontcuberta; Mohamed Rasheed-Hilmy Abdalmoaty; Saikat Chatterjee (EUSIPCO, 2022)

Deterministic Transform Based Weight Matrices for Neural Networks. - Pol Grau Jurado; Xinyue Liang; Saikat Chatterjee (ICASSP, 2022)

Extrinsic Calibration and Verification of Multiple Non-overlapping Field of View Lidar Sensors. - Sandipan Das; Navid Mahabadi; Addi Djikic; Cesar Nassir; Saikat Chatterjee; Maurice F. Fallon (ICRA, 2022)

Neural Greedy Pursuit for Feature Selection. - Sandipan Das; Alireza M. Javid; Prakash Borpatra Gohain; Yonina C. Eldar; Saikat Chatterjee (IJCNN, 2022)

Decentralized learning of randomization-based neural networks with centralized equivalence. - Xinyue Liang; Alireza M. Javid; Mikael Skoglund; Saikat Chatterjee (Appl. Soft Comput., 2022)

Multi-modal curb detection and filtering. - Sandipan Das; Navid Mahabadi; Saikat Chatterjee; Maurice F. Fallon (CoRR, 2022)

AERO: Design Space Exploration Framework for Resource-Constrained CNN Mapping on Tile-Based Accelerators. - Simei Yang; Debjyoti Bhattacharjee; Vinay B. Y. Kumar; Saikat Chatterjee; Sayandip De; Peter Debacker; Diederik Verkest; Arindam Mallik; Francky Catthoor (IEEE J. Emerg. Sel. Topics Circuits Syst., 2022)

Myocardial Function Prediction After Coronary Artery Bypass Grafting Using MRI Radiomic Features and Machine Learning Algorithms. - Fatemeh Arian; Mehdi Amini; Shayan Mostafaei; Kiara Rezaei-Kalantari; Atlas Haddadi Avval; Zahra Shahbazi; Kianosh Kasani; Ahmad Bitarafan-rajabi; Saikat Chatterjee; Mehrdad Oveisi; Isaac Shiri; Habib Zaidi (J. Digit. Imaging, 2022)

Latent-Based Neural Net for Non-Intrusive Speech Quality Assessment. - Fredrik Cumlin; Christian Schüldt; Saikat Chatterjee (EUSIPCO, 2023)

DANSE: Data-Driven Non-Linear State Estimation of Model-Free Process in Unsupervised Bayesian Setup. - Anubhab Ghosh; Antoine Honoré; Saikat Chatterjee (EUSIPCO, 2023)

Compressed Sensing of Generative Sparse-Latent (GSL) Signals. - Antoine Honoré; Anubhab Ghosh; Saikat Chatterjee (EUSIPCO, 2023)

DeePMOS: Deep Posterior Mean-Opinion-Score of Speech. - Xinyu Liang; Fredrik Cumlin; Christian Schüldt; Saikat Chatterjee (INTERSPEECH, 2023)

M-LIO: Multi-lidar, multi-IMU odometry with sensor dropout tolerance. - Sandipan Das; Navid Mahabadi; Maurice F. Fallon; Saikat Chatterjee (IV, 2023)

Automated Sentiment and Hate Speech Analysis of Facebook Data by Employing Multilingual Transformer Models. - Ritumbra Manuvie; Saikat Chatterjee (CoRR, 2023)

Identifying and analysing toxic actors and communities on Facebook by employing network analysis. - Ritumbra Manuvie; Saikat Chatterjee (CoRR, 2023)

Observability-Aware Online Multi-Lidar Extrinsic Calibration. - Sandipan Das; Ludvig af Klinteberg; Maurice F. Fallon; Saikat Chatterjee (IEEE Robotics Autom. Lett., 2023)

Extension of Topological Groupoids and Hurewicz Morphisms. - Saikat Chatterjee; Praphulla Koushik (Appl. Categorical Struct., 2023)

DeePMOS-$ mathcal{B}$: Deep Posterior Mean-Opinion-Score Using Beta Distribution. - Xinyu Liang; Fredrik Cumlin; Victor Ungureanu; Chandan K. A. Reddy; Christian Schüldt; Saikat Chatterjee (EUSIPCO, 2024)

DNSMOS Pro: A Reduced-Size DNN for Probabilistic MOS of Speech. - Fredrik Cumlin; Xinyu Liang; Victor Ungureanu; Chandan K. A. Reddy; Christian Schüldt; Saikat Chatterjee (INTERSPEECH, 2024)

IMU-based Online Multi-lidar Calibration. - Sandipan Das; Bengt Boberg; Maurice F. Fallon; Saikat Chatterjee (IV, 2024)

Data-driven Bayesian State Estimation with Compressed Measurement of Model-free Process using Semi-supervised Learning. - Anubhab Ghosh; Yonina C. Eldar; Saikat Chatterjee (CoRR, 2024)

AI-Aided Kalman Filters. - Nir Shlezinger; Guy Revach; Anubhab Ghosh; Saikat Chatterjee; Shuo Tang; Tales Imbiriba; Jindrich Duník; Ondrej Straka; Pau Closas; Yonina C. Eldar (CoRR, 2024)

DANSE: Data-Driven Non-Linear State Estimation of Model-Free Process in Unsupervised Learning Setup. - Anubhab Ghosh; Antoine Honoré; Saikat Chatterjee (IEEE Trans. Signal Process., 2024)

DeepBayes - An estimator for parameter estimation in stochastic nonlinear dynamical models. - Anubhab Ghosh; Mohamed Abdalmoaty; Saikat Chatterjee; Håkan Hjalmarsson (Autom., 2024)

Impairments are Clustered in Latents of Deep Neural Network-based Speech Quality Models. - Fredrik Cumlin; Xinyu Liang; Victor Ungureanu; Chandan K. A. Reddy; Christian Schüldt; Saikat Chatterjee (ICASSP, 2025)

Near-Field ISAC in 6G: Addressing Phase Nonlinearity via Lifted Super-Resolution. - Sajad Daei; Amirreza Zamani; Saikat Chatterjee; Mikael Skoglund; Gábor Fodor 001 (ICASSP, 2025)

Particle-based Data-driven Nonlinear State Estimation of Model-free Process from Nonlinear Measurements. - Anubhab Ghosh; Yonina C. Eldar; Saikat Chatterjee (ICASSP, 2025)

iDANSE: Iterative Data-driven Nonlinear State Estimation of Model-free Hidden Sequences. - Hang Qin; Anubhab Ghosh; Saikat Chatterjee (ICASSP, 2025)

Enhancing Network Calibration for Low-Cost Gas Sensor Networks Through Adaptive Similarity Search. - Cheng Yang; Saikat Chatterjee; Tobias J. Oechtering (ICASSP, 2025)