Soham Mukherjee

23 papers A 1B 1Journal 16Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Hilbert space methods for approximating multi-output latent variable Gaussian processes.
Stat. Comput.
Soham Mukherjee, Manfred Claassen, Paul-Christian Bürkner
2025 J jnl
Achieving Near-Optimal Oracle Complexity in Decentralized Stochastic Optimization With Channel Noise.
IEEE Trans. Control. Netw. Syst.
Soham Mukherjee, Mrityunjoy Chakraborty
2025 J jnl
DGP-LVM: Derivative Gaussian process latent variable models.
Stat. Comput.
Soham Mukherjee, Manfred Claassen, Paul-Christian Bürkner
2025 J jnl
Toward O(log(1/ϵ)/ϵ) Computational Complexity for PL Functions in Decentralized Stochastic Optimization With Communication Noise.
IEEE Control. Syst. Lett.
Soham Mukherjee, Mrityunjoy Chakraborty
2024 J jnl
An Atmospheric Correction Integrated LULC Segmentation Model for High-Resolution Satellite Imagery.
CoRR
Soham Mukherjee, Yash Dixit, Naman Srivastava, Joel D. Joy, Rohan Olikara, Koesha Sinha, Swarup E, Rakshit Ramesh
2024 J jnl
D-GRIL: End-to-End Topological Learning with 2-parameter Persistence.
CoRR
Soham Mukherjee, Shreyas N. Samaga, Cheng Xin, Steve Oudot, Tamal K. Dey
2024 J jnl
GEFL: Extended Filtration Learning for Graph Classification.
CoRR
Simon Zhang, Soham Mukherjee, Tamal K. Dey
2024 J jnl
TopoX: A Suite of Python Packages for Machine Learning on Topological Domains.
CoRR
Mustafa Hajij, Mathilde Papillon, Florian Frantzen, Jens Agerberg, Ibrahem AlJabea, Rubén Ballester, Claudio Battiloro, Guillermo Bernárdez, Tolga Birdal, Aiden Brent, Peter Chin, Sergio Escalera, Simone Fiorellino, Odin Hoff Gardaa, Gurusankar Gopalakrishnan, Devendra Govil, Josef Hoppe, Maneel Reddy Karri, Jude Khouja, Manuel Lecha, Neal Livesay, Jan Meißner, Soham Mukherjee, Alexander Nikitin, Theodore Papamarkou, Jaro Prílepok, Karthikeyan Natesan Ramamurthy, Paul Rosen, Aldo Guzmán-Sáenz, Alessandro Salatiello, Shreyas N. Samaga, Simone Scardapane, Michael T. Schaub, Luca Scofano, Indro Spinelli, Lev Telyatnikov, Quang Truong, Robin Walters, Maosheng Yang, Olga Zaghen, Ghada Zamzmi, Ali Zia, Nina Miolane
2024 J jnl
TopoX: A Suite of Python Packages for Machine Learning on Topological Domains.
J. Mach. Learn. Res.
Mustafa Hajij, Mathilde Papillon, Florian Frantzen, Jens Agerberg, Ibrahem AlJabea, Rubén Ballester, Claudio Battiloro, Guillermo Bernárdez, Tolga Birdal, Aiden Brent, Peter Chin, Sergio Escalera, Simone Fiorellino, Odin Hoff Gardaa, Gurusankar Gopalakrishnan, Devendra Govil, Josef Hoppe, Maneel Reddy Karri, Jude Khouja, Manuel Lecha, Neal Livesay, Jan Meißner, Soham Mukherjee, Alexander Nikitin, Theodore Papamarkou, Jaro Prílepok, Karthikeyan Natesan Ramamurthy, Paul Rosen, Aldo Guzmán-Sáenz, Alessandro Salatiello, Shreyas N. Samaga, Simone Scardapane, Michael T. Schaub, Luca Scofano, Indro Spinelli, Lev Telyatnikov, Quang Truong, Robin Walters, Maosheng Yang, Olga Zaghen, Ghada Zamzmi, Ali Zia, Nina Miolane
2023 — conf
GRIL: A $2$-parameter Persistence Based Vectorization for Machine Learning.
TAG-ML
Cheng Xin, Soham Mukherjee, Shreyas N. Samaga, Tamal K. Dey
2023 J jnl
GRIL: A 2-parameter Persistence Based Vectorization for Machine Learning.
CoRR
Cheng Xin, Soham Mukherjee, Shreyas N. Samaga, Tamal K. Dey
2023 J jnl
ICML 2023 Topological Deep Learning Challenge : Design and Results.
CoRR
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, Tim Doster, Tegan Emerson, Gurusankar Gopalakrishnan, Devendra Govil, Vincent P. Grande, Aldo Guzmán-Sáenz, Henry Kvinge, Neal Livesay, Jan Meissner, Soham Mukherjee, Shreyas N. Samaga, Karthikeyan Natesan Ramamurthy, Maneel Reddy Karri, Paul Rosen, Sophia Sanborn, Michael Scholkemper, Robin Walters, Jens Agerberg, Georg Bökman, Sadrodin Barikbin, Claudio Battiloro, Gleb Bazhenov, Guillermo Bernárdez, Aiden Brent, Sergio Escalera, Simone Fiorellino, Dmitrii Gavrilev, Mohammed Hassanin, Paul Häusner, Odin Hoff Gardaa, Abdelwahed Khamis, Manuel Lecha, German Magai, Tatiana Malygina, Pavlo Melnyk, et al.
2023 — conf
ICML 2023 Topological Deep Learning Challenge: Design and Results.
TAG-ML
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, Neal Livesay, Tamal K. Dey, Abraham Rabinowitz, Aiden Brent, Alessandro Salatiello, Alexander Nikitin, Ali Zia, Claudio Battiloro, Dmitrii Gavrilev, Georg Bökman, German Magai, Gleb Bazhenov, Guillermo Bernárdez, Indro Spinelli, Jens Agerberg, Kalyan Varma Nadimpalli, Lev Telyatnikov, Luca Scofano, Lucia Testa, Manuel Lecha, Maosheng Yang, Mohammed Hassanin, Odin Hoff Gardaa, Olga Zaghen, Paul Häusner, Paul Snopoff, Pavlo Melnyk, Rubén Ballester, Sadrodin Barikbin, Sergio Escalera, Simone Fiorellino, Henry Kvinge, Jan Meissner, Karthikeyan Natesan Ramamurthy, Michael Scholkemper, Paul Rosen, Robin Walters, Shreyas N. Samaga, Soham Mukherjee, Sophia Sanborn, Tegan Emerson, Timothy Doster, Tolga Birdal, Vincent P. Grande, Abdelwahed Khamis, Simone Scardapane, Suraj Singh, Tatiana Malygina, Yixiao Yue, Nina Miolane
2022 J jnl
Determining clinically relevant features in cytometry data using persistent homology.
PLoS Comput. Biol.
Soham Mukherjee, Darren Wethington, Tamal K. Dey, Jayajit Das
2022 — conf
GEFL: Extended Filtration Learning for Graph Classification.
LoG
Simon Zhang, Soham Mukherjee, Tamal K. Dey
2021 J jnl
Denoising with discrete Morse theory.
Vis. Comput.
Soham Mukherjee
2021 J jnl
Gene expression data classification using topology and machine learning models.
BMC Bioinform.
Tamal K. Dey, Sayan Mandal, Soham Mukherjee
2021 A conf
On the Hierarchical Community Structure of Practical Boolean Formulas.
SAT
Chunxiao Li, Jonathan Chung, Soham Mukherjee, Marc Vinyals, Noah Fleming, Antonina Kolokolova, Alice Mu, Vijay Ganesh
2021 J jnl
On the Hierarchical Community Structure of Practical SAT Formulas.
CoRR
Chunxiao Li, Jonathan Chung, Soham Mukherjee, Marc Vinyals, Noah Fleming, Antonina Kolokolova, Alice Mu, Vijay Ganesh
2020 — conf
A Novel Near Infrared Spectroscopy Based Device for Albumin Estimation.
EMBC
Yashika Arora, Soham Mukherjee, Bidisha Biswas, Vaibhav Bedi, Gourab Dey, Prosenjit Mondal, Subrata Ghosh, Shubhajit Roy Chowdhury
2020 — conf
A decentralized algorithm for large scale min-max problems.
CDC
Soham Mukherjee, Mrityunjoy Chakraborty
2019 B conf
Humans are Still the Best Lossy Image Compressors.
DCC
Ashutosh Bhown, Soham Mukherjee, Sean Yang, Shubham Chandak, Irena Fischer-Hwang, Kedar Tatwawadi, Tsachy Weissman
2018 J jnl
Humans are still the best lossy image compressors.
CoRR
Ashutosh Bhown, Soham Mukherjee, Sean Yang, Shubham Chandak, Irena Fischer-Hwang, Kedar Tatwawadi, Tsachy Weissman