Soham Mukherjee

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Bibliography

2026
Hilbert space methods for approximating multi-output latent variable Gaussian processes.
Stat. Comput., June, 2026

D-GRIL: End-To-End Topological Learning with 2-Parameter Persistence.
Proceedings of the 42nd International Symposium on Computational Geometry, 2026

2025
DGP-LVM: Derivative Gaussian process latent variable models.
Stat. Comput., October, 2025

Achieving Near-Optimal Oracle Complexity in Decentralized Stochastic Optimization With Channel Noise.
IEEE Trans. Control. Netw. Syst., June, 2025

Toward O(log(1/ϵ)/ϵ) Computational Complexity for PL Functions in Decentralized Stochastic Optimization With Communication Noise.
IEEE Control. Syst. Lett., 2025

2024
TopoX: A Suite of Python Packages for Machine Learning on Topological Domains.
J. Mach. Learn. Res., 2024

An Atmospheric Correction Integrated LULC Segmentation Model for High-Resolution Satellite Imagery.
CoRR, 2024

2023
ICML 2023 Topological Deep Learning Challenge : Design and Results.
CoRR, 2023

GRIL: A $2$-parameter Persistence Based Vectorization for Machine Learning.
Proceedings of the Topological, 2023


2022
Determining clinically relevant features in cytometry data using persistent homology.
PLoS Comput. Biol., 2022

GEFL: Extended Filtration Learning for Graph Classification.
Proceedings of the Learning on Graphs Conference, 2022

2021
Denoising with discrete Morse theory.
Vis. Comput., 2021

On the Hierarchical Community Structure of Practical SAT Formulas.
CoRR, 2021

Gene expression data classification using topology and machine learning models.
BMC Bioinform., 2021

On the Hierarchical Community Structure of Practical Boolean Formulas.
Proceedings of the Theory and Applications of Satisfiability Testing - SAT 2021, 2021

2020
A Novel Near Infrared Spectroscopy Based Device for Albumin Estimation.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

A decentralized algorithm for large scale min-max problems.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019
Humans are Still the Best Lossy Image Compressors.
Proceedings of the Data Compression Conference, 2019


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