Humans are Still the Best Lossy Image Compressors. - Ashutosh Bhown; Soham Mukherjee; Sean Yang; Shubham Chandak; Irena Fischer-Hwang; Kedar Tatwawadi; Tsachy Weissman (DCC, 2019)

A decentralized algorithm for large scale min-max problems. - Soham Mukherjee; Mrityunjoy Chakraborty (CDC, 2020)

A Novel Near Infrared Spectroscopy Based Device for Albumin Estimation. - Yashika Arora; Soham Mukherjee; Bidisha Biswas; Vaibhav Bedi; Gourab Dey; Prosenjit Mondal; Subrata Ghosh; Shubhajit Roy Chowdhury (EMBC, 2020)

On the Hierarchical Community Structure of Practical Boolean Formulas. - Chunxiao Li 002; Jonathan Chung 003; Soham Mukherjee; Marc Vinyals; Noah Fleming; Antonina Kolokolova; Alice Mu; Vijay Ganesh 001 (SAT, 2021)

Gene expression data classification using topology and machine learning models. - Tamal K. Dey; Sayan Mandal; Soham Mukherjee (BMC Bioinform., 2021)

On the Hierarchical Community Structure of Practical SAT Formulas. - Chunxiao Li 002; Jonathan Chung 003; Soham Mukherjee; Marc Vinyals; Noah Fleming; Antonina Kolokolova; Alice Mu; Vijay Ganesh 001 (CoRR, 2021)

Denoising with discrete Morse theory. - Soham Mukherjee (Vis. Comput., 2021)

GEFL: Extended Filtration Learning for Graph Classification. - Simon Zhang; Soham Mukherjee; Tamal K. Dey (LoG, 2022)

Determining clinically relevant features in cytometry data using persistent homology. - Soham Mukherjee; Darren Wethington; Tamal K. Dey; Jayajit Das (PLoS Comput. Biol., 2022)

ICML 2023 Topological Deep Learning Challenge: Design and Results. - Mathilde Papillon; Mustafa Hajij; Audun Myers; Florian Frantzen; Ghada Zamzmi; Helen Jenne; Johan Mathe; Josef Hoppe; Michael T. Schaub; Theodore Papamarkou; Aldo Guzmán-Sáenz; Bastian Rieck; et al. (TAG-ML, 2023)

GRIL: A $2$-parameter Persistence Based Vectorization for Machine Learning. - Cheng Xin; Soham Mukherjee; Shreyas N. Samaga; Tamal K. Dey (TAG-ML, 2023)

ICML 2023 Topological Deep Learning Challenge : Design and Results. - Mathilde Papillon; Mustafa Hajij; Florian Frantzen; Josef Hoppe; Helen Jenne; Johan Mathe; Audun Myers; Theodore Papamarkou; Michael T. Schaub; Ghada Zamzmi; Tolga Birdal; Tamal K. Dey; et al. (CoRR, 2023)

TopoX: A Suite of Python Packages for Machine Learning on Topological Domains. - Mustafa Hajij; Mathilde Papillon; Florian Frantzen; Jens Agerberg; Ibrahem AlJabea; Rubén Ballester; Claudio Battiloro; Guillermo Bernárdez; Tolga Birdal; Aiden Brent; Peter Chin 001; Sergio Escalera; et al. (CoRR, 2024)

D-GRIL: End-to-End Topological Learning with 2-parameter Persistence. - Soham Mukherjee; Shreyas N. Samaga; Cheng Xin; Steve Oudot; Tamal K. Dey (CoRR, 2024)

An Atmospheric Correction Integrated LULC Segmentation Model for High-Resolution Satellite Imagery. - Soham Mukherjee; Yash Dixit; Naman Srivastava; Joel D. Joy; Rohan Olikara; Koesha Sinha; Swarup E; Rakshit Ramesh (CoRR, 2024)

Achieving Near-Optimal Oracle Complexity in Decentralized Stochastic Optimization With Channel Noise. - Soham Mukherjee; Mrityunjoy Chakraborty (IEEE Trans. Control. Netw. Syst., 2025)

DGP-LVM: Derivative Gaussian process latent variable models. - Soham Mukherjee; Manfred Claassen; Paul-Christian Bürkner (Stat. Comput., 2025)