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Soham Mukherjee
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2020 – today
- 2024
- [i8]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
TopoX: A Suite of Python Packages for Machine Learning on Topological Domains. CoRR abs/2402.02441 (2024) - [i7]Simon Zhang, Soham Mukherjee, Tamal K. Dey:
GEFL: Extended Filtration Learning for Graph Classification. CoRR abs/2406.02732 (2024) - [i6]Soham Mukherjee, Shreyas N. Samaga, Cheng Xin, Steve Oudot, Tamal K. Dey:
D-GRIL: End-to-End Topological Learning with 2-parameter Persistence. CoRR abs/2406.07100 (2024) - [i5]Soham Mukherjee, Yash Dixit, Naman Srivastava, Joel D. Joy, Rohan Olikara, Koesha Sinha, Swarup E, Rakshit Ramesh:
An Atmospheric Correction Integrated LULC Segmentation Model for High-Resolution Satellite Imagery. CoRR abs/2409.05494 (2024) - 2023
- [c7]Mathilde Papillon, Mustafa Hajij, Audun Myers, Florian Frantzen, Ghada Zamzmi, Helen Jenne, Johan Mathe, Josef Hoppe, Michael T. Schaub, Theodore Papamarkou
ICML 2023 Topological Deep Learning Challenge: Design and Results. TAG-ML 2023: 3-8 - [c6]Cheng Xin, Soham Mukherjee
GRIL: A $2$-parameter Persistence Based Vectorization for Machine Learning. TAG-ML 2023: 313-333 - [i4]Cheng Xin, Soham Mukherjee, Shreyas N. Samaga, Tamal K. Dey:
GRIL: A 2-parameter Persistence Based Vectorization for Machine Learning. CoRR abs/2304.04970 (2023) - [i3]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
ICML 2023 Topological Deep Learning Challenge : Design and Results. CoRR abs/2309.15188 (2023) - 2022
- [j3]Soham Mukherjee
Determining clinically relevant features in cytometry data using persistent homology. PLoS Comput. Biol. 18(3) (2022) - [c5]Simon Zhang, Soham Mukherjee
GEFL: Extended Filtration Learning for Graph Classification. LoG 2022: 16 - 2021
- [j2]Tamal K. Dey, Sayan Mandal, Soham Mukherjee
Gene expression data classification using topology and machine learning models. BMC Bioinform. 22-S(10): 627 (2021) - [j1]Soham Mukherjee
Denoising with discrete Morse theory. Vis. Comput. 37(9-11): 2883-2894 (2021) - [c4]Chunxiao Li, Jonathan Chung, Soham Mukherjee, Marc Vinyals
On the Hierarchical Community Structure of Practical Boolean Formulas. SAT 2021: 359-376 - [i2]Chunxiao Li, Jonathan Chung, Soham Mukherjee, Marc Vinyals, Noah Fleming, Antonina Kolokolova, Alice Mu, Vijay Ganesh:
On the Hierarchical Community Structure of Practical SAT Formulas. CoRR abs/2103.14992 (2021) - 2020
- [c3]Soham Mukherjee, Mrityunjoy Chakraborty:
A decentralized algorithm for large scale min-max problems. CDC 2020: 2967-2972 - [c2]Yashika Arora, Soham Mukherjee, Bidisha Biswas, Vaibhav Bedi, Gourab Dey, Prosenjit Mondal
A Novel Near Infrared Spectroscopy Based Device for Albumin Estimation. EMBC 2020: 6123-6126
2010 – 2019
- 2019
- [c1]Ashutosh Bhown, Soham Mukherjee, Sean Yang, Shubham Chandak, Irena Fischer-Hwang, Kedar Tatwawadi, Tsachy Weissman:
Humans are Still the Best Lossy Image Compressors. DCC 2019: 558 - 2018
- [i1]Ashutosh Bhown, Soham Mukherjee, Sean Yang, Shubham Chandak, Irena Fischer-Hwang, Kedar Tatwawadi, Tsachy Weissman:
Humans are still the best lossy image compressors. CoRR abs/1810.11137 (2018)
Coauthor Index
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