Compressed signal reconstruction using the correntropy induced metric. - Sohan Seth; José C. Príncipe (ICASSP, 2008)

A new nonparametric measure of conditional independence. - Sohan Seth; Il Park 002; José C. Príncipe (ICASSP, 2009)

On speeding up computation in information theoretic learning. - Sohan Seth; José Carlos Príncipe (IJCNN, 2009)

Correntropy for Random Variables: Properties and Applications in Statistical Inference. - Weifeng Liu 001; Puskal P. Pokharel; Jian-Wu Xu; Sohan Seth (Information Theoretic Learning, 2010)

A conditional distribution function based approach to design nonparametric tests of independence and conditional independence. - Sohan Seth; José C. Príncipe (ICASSP, 2010)

Variable Selection: A Statistical Dependence Perspective. - Sohan Seth; José C. Príncipe (ICMLA, 2010)

A Test of Granger Non-causality Based on Nonparametric Conditional Independence. - Sohan Seth; José C. Príncipe (ICPR, 2010)

A novel family of non-parametric cumulative based divergences for point processes. - Sohan Seth; Il Memming Park; Austin J. Brockmeier; Mulugeta Semework; John S. Choi; Joseph T. Francis; José Carlos Príncipe (NIPS, 2010)

Robust EEG preprocessing for dependence-based condition discrimination. - Bilal H. Fadlallah; Sohan Seth; Andreas Keil; José C. Príncipe (EMBC, 2011)

Statistical dependence measure for feature selection in microarray datasets. - Verónica Bolón-Canedo; Sohan Seth; Noelia Sánchez-Maroño; Amparo Alonso-Betanzos; José C. Príncipe (ESANN, 2011)

Estimation of symmetric chi-square divergence for point processes. - Il Park 002; Sohan Seth; Murali Rao; José Carlos Príncipe (ICASSP, 2011)

A metric approach toward point process divergence. - Sohan Seth; Austin J. Brockmeier; José Carlos Príncipe (ICASSP, 2011)

Evaluating dependence in spike train metric spaces. - Sohan Seth; Austin J. Brockmeier; John S. Choi; Mulugeta Semework; Joseph T. Francis; José C. Príncipe (IJCNN, 2011)

An adaptive decoder from spike trains to micro-stimulation using kernel least-mean-squares (KLMS). - Lin Li 020; Il Memming Park; Sohan Seth; John S. Choi; Joseph T. Francis; Justin C. Sanchez; José C. Príncipe (MLSP, 2011)

A test of independence based on a generalized correlation function. - Murali Rao; Sohan Seth; Jian-Wu Xu; Yunmei Chen; Hemant D. Tagare; José C. Príncipe (Signal Process., 2011)

A Unified Framework for Quadratic Measures of Independence. - Sohan Seth; Murali Rao; Il Park 002; José C. Príncipe (IEEE Trans. Signal Process., 2011)

An Association Framework to Analyze Dependence Structure in Time Series. - Bilal H. Fadlallah; Austin J. Brockmeier; Sohan Seth; Lin Li 020; Andreas Keil; José C. Príncipe (EMBC, 2012)

Analyzing dependence structure of the human brain in response to visual stimuli. - Bilal Fadlallah; Sohan Seth; Andreas Keil; José C. Príncipe (ICASSP, 2012)

Online efficient learning with quantized KLMS and L1 regularization. - Badong Chen; Songlin Zhao; Sohan Seth; José C. Príncipe (IJCNN, 2012)

Strictly Positive-Definite Spike Train Kernels for Point-Process Divergences. - Il Memming Park; Sohan Seth; Murali Rao; José C. Príncipe (Neural Comput., 2012)

Conditional Association. - Sohan Seth; José C. Príncipe (Neural Comput., 2012)

Quantifying Cognitive State From EEG Using Dependence Measures. - Bilal Fadlallah; Sohan Seth; Andreas Keil; José Carlos Príncipe (IEEE Trans. Biomed. Eng., 2012)

Assessing Granger Non-Causality Using Nonparametric Measure of Conditional Independence. - Sohan Seth; José Carlos Príncipe (IEEE Trans. Neural Networks Learn. Syst., 2012)

Mixture kernel least mean square. - Rosha Pokharel; Sohan Seth; José C. Príncipe (IJCNN, 2013)

Retrieval of Experiments with Sequential Dirichlet Process Mixtures in Model Space. - Ritabrata Dutta; Sohan Seth; Samuel Kaski (CoRR, 2013)

Bayesian Extensions of Kernel Least Mean Squares. - Il Memming Park; Sohan Seth; Steven Van Vaerenbergh (CoRR, 2013)

Kernel Methods on Spike Train Space for Neuroscience: A Tutorial. - Il Memming Park; Sohan Seth; António R. C. Paiva; Lin Li 020; José C. Príncipe (IEEE Signal Process. Mag., 2013)

Probabilistic kernel least mean squares algorithms. - Il Memming Park; Sohan Seth; Steven Van Vaerenbergh (ICASSP, 2014)

Retrieval of Experiments by Efficient Comparison of Marginal Likelihoods. - Sohan Seth; John Shawe-Taylor; Samuel Kaski (ICONIP (2), 2014)

Quantized mixture kernel least mean square. - Rosha Pokharel; Sohan Seth; José C. Príncipe (IJCNN, 2014)

Exploration and retrieval of whole-metagenome sequencing samples. - Sohan Seth; Niko Välimäki; Samuel Kaski; Antti Honkela (Bioinform., 2014)

Retrieval of Experiments by Efficient Estimation of Marginal Likelihood. - Sohan Seth; John Shawe-Taylor; Samuel Kaski (CoRR, 2014)

Learning dependence from samples. - Sohan Seth; José C. Príncipe (Int. J. Bioinform. Res. Appl., 2014)

Modelling-based experiment retrieval: a case study with gene expression clustering. - Paul Blomstedt; Ritabrata Dutta; Sohan Seth; Alvis Brazma; Samuel Kaski (Bioinform., 2016)

Probabilistic archetypal analysis. - Sohan Seth; Manuel J. A. Eugster (Mach. Learn., 2016)

Archetypal Analysis for Nominal Observations. - Sohan Seth; Manuel J. A. Eugster (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Estimating Bacterial Load in FCFM Imaging. - Sohan Seth; Ahsan R. Akram; Kevin Dhaliwal; Christopher K. I. Williams (MIUA, 2017)

Estimating Bacterial and Cellular Load in FCFM Imaging. - Sohan Seth; Ahsan R. Akram; Kevin Dhaliwal; Christopher K. I. Williams (J. Imaging, 2018)

Towards Sustainable Census Independent Population Estimation in Mozambique. - Isaac Neal; Sohan Seth; Gary Watmough; Mamadou Saliou Diallo (CoRR, 2021)

Census-Independent Population Estimation using Representation Learning. - Isaac Neal; Sohan Seth; Gary Watmough; Mamadou Saliou Diallo (CoRR, 2021)

Simultaneous Spectral Temporal Modelling for a Time-Resolved Fluorescence Emission Spectrum. - Alexandra C. Adams; András Kufcsák; Katjana Ehrlich; Kevin Dhaliwal; Sohan Seth (IEEE Trans. Biomed. Eng., 2023)

Computational Fluorescence Suppression in Shifted Excitation Raman Spectroscopy. - Nia C. Jenkins; Katjana Ehrlich; András Kufcsák; Stephanos Yerolatsitis; Susan Fernandes; Irene Young; Katie Hamilton; Harry A. C. Wood; Tom Quinn; Vikki Young; Ahsan R. Akram; James M. Stone; et al. (IEEE Trans. Biomed. Eng., 2023)

Can Large Language Models Put 2 and 2 Together? Probing for Entailed Arithmetical Relationships. - Dagmara Panas; Sohan Seth; Vaishak Belle (NeSy (2), 2024)

Robust Windowing Harmonisation for Improved Cross-Scanner Generalisation of White Matter Hypoattenuation Segmentation in Brain CT Clinical Scans. - Nada Alamoudi; Maria del C. Valdés Hernández; Sohan Seth; Joanna M. Wardlaw; Miguel O. Bernabeu (AIiH (2), 2025)

Nonparametric Bayesian Multi-Facet Clustering for Longitudinal Data. - Luwei Wang; Kieran Richards; Sohan Seth (UAI, 2025)