Suivre
Sudipto Mukherjee
Titre
Citée par
Citée par
Année
Clustergan: Latent space clustering in generative adversarial networks
S Mukherjee, H Asnani, E Lin, S Kannan
Proceedings of the AAAI conference on artificial intelligence 33 (01), 4610-4617, 2019
4322019
CCMI: Classifier based conditional mutual information estimation
S Mukherjee, H Asnani, S Kannan
Uncertainty in artificial intelligence, 1083-1093, 2020
952020
A deep adversarial variational autoencoder model for dimensionality reduction in single-cell RNA sequencing analysis
E Lin, S Mukherjee, S Kannan
BMC bioinformatics 21, 1-11, 2020
882020
Stability and chaos analysis of a novel swarm dynamics with applications to multi-agent systems
S Das, D Goswami, S Chatterjee, S Mukherjee
Engineering Applications of Artificial Intelligence 30, 189-198, 2014
582014
Resolving multicopy duplications de novo using polyploid phasing
MJ Chaisson*, S Mukherjee*, S Kannan, EE Eichler
International Conference on Research in Computational Molecular Biology, 117-133, 2017
362017
A Lagrangian approach to modeling and analysis of a crowd dynamics
S Mukherjee, D Goswami, S Chatterjee
IEEE Transactions on Systems, Man, and Cybernetics: Systems 45 (6), 865-876, 2015
262015
Behavioral analysis of the leader particle during stagnation in a particle swarm optimization algorithm
S Chatterjee, D Goswami, S Mukherjee, S Das
Information Sciences 279, 18-36, 2014
222014
Smart to-do: Automatic generation of to-do items from emails
S Mukherjee, S Mukherjee, M Hasegawa, AH Awadallah, R White
Annual Meeting of the Association for Computational Linguistics (ACL, 2020), 2020
182020
C-MI-GAN: Estimation of conditional mutual information using minmax formulation
A Mondal, A Bhattacharjee, S Mukherjee, H Asnani, S Kannan, ...
Conference on Uncertainty in Artificial Intelligence, 849-858, 2020
152020
ClusterGAN: Latent Space Clustering in Generative Adversarial Networks. arXiv 2019
S Mukherjee, H Asnani, E Lin, S Kannan
arXiv preprint arXiv:1809.03627, 0
6
International Conference on Research in Computational Molecular Biology
MJ Chaisson, S Mukherjee, S Kannan, EE Eichler
Springer,, 2017
52017
A Content-Based Approach to Email Triage Action Prediction: Exploration and Evaluation
S Mukherjee, K Jiang
arXiv preprint arXiv:1905.01991, 2019
32019
Machine learning system with two encoder towers for semantic matching
S Mukherjee, L Du, K Jiang, R Abraham
US Patent App. 17/850,763, 2023
12023
Variants of k-regular nearest neighbor graph and their construction
K Broelemann, X Jiang, S Mukherjee, AS Chowdhury
Information Processing Letters 126, 18-23, 2017
12017
Differential Evolution with Controlled Annihilation and Regeneration of Individuals and A Novel Mutation Scheme
S Mukherjee, S Chatterjee, D Goswami, S Das
Swarm, Evolutionary, and Memetic Computing: 4th International Conference …, 2013
12013
Interpretable Machine Learning Leverages Proteomics to Improve Cardiovascular Disease Risk Prediction and Biomarker Identification
H Climente-González, M Oh, U Chajewska, R Hosseini, S Mukherjee, ...
medRxiv, 2024.01. 12.24301213, 2024
2024
Unsupervised Learning: Model-guided and Model-agnostic Approaches
S Mukherjee
University of Washington, 2020
2020
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