Partha P. Mitra

Orcid: 0000-0001-8818-6804

According to our database1, Partha P. Mitra authored at least 40 papers between 2001 and 2021.

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Fitting elephants in modern machine learning by statistically consistent interpolation.
Nat. Mach. Intell., 2021

Parameter-free Statistically Consistent Interpolation: Dimension-independent Convergence Rates for Hilbert kernel regression.
CoRR, 2021

Fitting Elephants.
CoRR, 2021

ConnExt-BioBERT: Leveraging Transfer Learning for Brain-Connectivity Extraction from Neuroscience Articles.
Proceedings of the Brain Informatics - 14th International Conference, 2021

Semantic segmentation of microscopic neuroanatomical data by combining topological priors with encoder-decoder deep networks.
Nat. Mach. Intell., 2020

Detection and skeletonization of single neurons and tracer injections using topological methods.
CoRR, 2020

On Fundamental Limitations of Dynamic Feedback Control in Regular Large-Scale Networks.
IEEE Trans. Autom. Control., 2019

Estimate exchange over network is good for distributed hard thresholding pursuit.
Signal Process., 2019

Understanding overfitting peaks in generalization error: Analytical risk curves for l<sub>2</sub> and l<sub>1</sub> penalized interpolation.
CoRR, 2019

SSFN: Self Size-estimating Feed-forward Network and Low Complexity Design.
CoRR, 2019

3D Mapping of Serial Histology Sections with Anomalies Using a Novel Robust Deformable Registration Algorithm.
Proceedings of the Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy, 2019

On variational solutions for whole brain serial-section histology using a Sobolev prior in the computational anatomy random orbit model.
PLoS Comput. Biol., 2018

Topological Skeletonization and Tree-Summarization of Neurons Using Discrete Morse Theory.
CoRR, 2018

Locally Convex Sparse Learning over Networks.
CoRR, 2018

Fast Convergence for Stochastic and Distributed Gradient Descent in the Interpolation Limit.
Proceedings of the 26th European Signal Processing Conference, 2018

Progressive Learning for Systematic Design of Large Neural Networks.
CoRR, 2017

Performance of Image Matching in the Computational Anatomy Gateway: CPU and GPU Implementations in OpenCL.
Proceedings of the Practice and Experience in Advanced Research Computing 2017: Sustainability, 2017

The Active Atlas: Combining 3D Anatomical Models with Texture Detectors.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Phase transitions in distributed control systems with multiplicative noise.
CoRR, 2016

Case Representation and Retrieval Techniques for Neuroanatomical Connectivity Extraction from PubMed.
Proceedings of the Case-Based Reasoning Research and Development, 2016

Mean field analysis of sparse reconstruction with correlated variables.
Proceedings of the 24th European Signal Processing Conference, 2016

Critical behavior and universality classes for an algorithmic phase transition in sparse reconstruction.
CoRR, 2015

The cavity method for phase transitions in sparse reconstruction algorithms.
CoRR, 2015

Computational neuroanatomy and co-expression of genes in the adult mouse brain, analysis tools for the Allen Brain Atlas.
Quant. Biol., 2013

Co-expression Profiling of Autism Genes in the Mouse Brain.
PLoS Comput. Biol., 2013

Coherence in Large-Scale Networks: Dimension-Dependent Limitations of Local Feedback.
IEEE Trans. Autom. Control., 2012

Computational neuroanatomy and gene expression: Optimal sets of marker genes for brain regions.
Proceedings of the 46th Annual Conference on Information Sciences and Systems, 2012

Compressed genotyping.
IEEE Trans. Inf. Theory, 2010

A Proposal for a Coordinated Effort for the Determination of Brainwide Neuroanatomical Connectivity in Model Organisms at a Mesoscopic Scale.
PLoS Comput. Biol., 2009

Computational Intelligence in Electrophysiology: Trends and Open Problems.
Proceedings of the Applications of Computational Intelligence in Biology: Current Trends and Open Problems, 2008

Effect of topological dimension on rigidity of vehicle formations: Fundamental limitations of local feedback.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

NIH Conference on Knowledge Environments for Biomedical Research (December 11-12, 2006).
Neuroinformatics, 2007

Characterizing Animal Behavior through Audio and Video Signal Processing.
IEEE Multim., 2007

Non-parametric methods for the analysis of neurobiological time-series data.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

Concentration maximization and local basis expansions (LBEX) for linear inverse problems.
IEEE Trans. Biomed. Eng., 2006

A Method for Detection and Classification of Events in Neural Activity.
IEEE Trans. Biomed. Eng., 2006

Dynamic phenotypes - Time series analysis techniques for characterizing neuronal and behavioral dynamics.
Neuroinformatics, 2006

Multimedia signal processing for behavioral quantification in neuroscience.
Proceedings of the 14th ACM International Conference on Multimedia, 2006

Communicating over nonstationary nonflat wireless channels.
IEEE Trans. Signal Process., 2005

Sampling Properties of the Spectrum and Coherency of Sequences of Action Potentials.
Neural Comput., 2001