Identification of hidden Markov models for ion channel currents. II. State-dependent excess noise. - Lalitha Venkataramanan; Roman Kuc; Fred J. Sigworth (IEEE Trans. Signal Process., 1998)

Identification of hidden Markov models for ion channel currents. I. Colored background noise. - Lalitha Venkataramanan; John L. Walsh; Roman Kuc; Fred J. Sigworth (IEEE Trans. Signal Process., 1998)

Identification of hidden Markov models for ion channel currents .III. Bandlimited, sampled data. - Lalitha Venkataramanan; Roman Kuc; Fred J. Sigworth (IEEE Trans. Signal Process., 2000)

Solving Fredholm integrals of the first kind with tensor product structure in 2 and 2.5 dimensions. - Lalitha Venkataramanan; Yi-Qiao Song; Martin D. Hurlimann (IEEE Trans. Signal Process., 2002)

Application of fractional calculus to the analysis of Laplace transformed data. - Lalitha Venkataramanan; Tarek M. Habashy; Denise E. Freed (EUSIPCO, 2010)

A new approach for the estimation of the porosity in NMR. - Fred K. Gruber; Lalitha Venkataramanan; Denise E. Freed; Tarek M. Habashy (ICASSP, 2011)

Computation of parameters in NMR using integral transforms: Tapered areas. - Fred K. Gruber; Lalitha Venkataramanan; Denise E. Freed; Tarek M. Habashy (ICASSP, 2013)

Sparse Clustered Bayesian-Inspired T1-T2 Inversion From Borehole NMR Measurements. - Pu Wang 004; Lalitha Venkataramanan; Vikas Jain (IEEE Trans. Computational Imaging, 2017)

Dual Neural Network Architecture for Determining Epistemic and Aleatoric Uncertainties. - Augustin Prado; Ravinath Kausik; Lalitha Venkataramanan (CoRR, 2019)

Unsupervised clustering of series using dynamic programming. - Karthigan Sinnathamby; Chang-Yu Hou; Lalitha Venkataramanan; Vasileios-Marios Gkortsas; François Fleuret (CoRR, 2021)

Unsupervised clustering of series using dynamic programming and neural processes. - Karthigan Sinnathamby; Chang-Yu Hou; Lalitha Venkataramanan; Vasileios-Marios Gkortsas; François Fleuret (CoRR, 2021)