World's Best Scientists 2026 revealed!

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Computer Science

D-Index
57
Citations
33543
World Ranking
3724
National Ranking
1779

Overview

Arindam Banerjee is affiliated with the University of Illinois at Urbana-Champaign in the United States. Their primary field of study is Computer Science, with a focus on several specialized subfields, including Artificial Intelligence, Computer Vision and Pattern Recognition, Global and Planetary Change, Computational Theory and Mathematics, and Atmospheric Science.

Their research spans various topics, notably in Stochastic Gradient Optimization Techniques, Domain Adaptation and Few-Shot Learning, Climate Variability and Models, Advanced Bandit Algorithms Research, Machine Learning and Algorithms, Generative Adversarial Networks and Image Synthesis, and Privacy-Preserving Technologies in Data.

Banerjee has contributed to multiple research papers, including recent works across several publication venues. Notable papers include:

  • The number of tree species on Earth (2022), published in Proceedings of the National Academy of Sciences
  • sPlotOpen - An environmentally balanced, open-access, global dataset of vegetation plots (2021), published in Global Ecology and Biogeography
  • Bypassing the Ambient Dimension: Private SGD with Gradient Subspace Identification (2020), published on arXiv (Cornell University)
  • Learning and Dynamical Models for Sub-seasonal Climate Forecasting: Comparison and Collaboration (2022), published in Proceedings of the AAAI Conference on Artificial Intelligence

Frequent coauthors in Banerjee's work include Yingxue Zhou, Peter B. Reich, Mainuck Das, Xinyan Li, and Tiancong Chen.

Their publications appear regularly in venues such as arXiv (Cornell University), Proceedings of the National Academy of Sciences, Global Ecology and Biogeography, the Proceedings of the AAAI Conference on Artificial Intelligence, and the Journal of Geophysical Research Biogeosciences.

Banerjee's contributions also include book publications with publishers like NeilsonJournals Publishing eBooks and Springer Nature. These include titles such as:

  • Amazon's Acquisition of Souq.com: Synergies in the GCC Region (2021)
  • Applications of Networks, Sensors and Autonomous Systems Analytics (2021)

Best Publications

  • Anomaly detection: A survey

    Varun Chandola;Arindam Banerjee;Vipin Kumar

  • Clustering with Bregman Divergences

    Arindam Banerjee;Srujana Merugu;Inderjit S. Dhillon;Joydeep Ghosh

  • TRY plant trait database : Enhanced coverage and open access

    Jens Kattge;Gerhard Bönisch;Sandra Díaz;Sandra Lavorel

  • Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data

    Anuj Karpatne;Gowtham Atluri;James H. Faghmous;Michael Steinbach

  • Semi-supervised Clustering by Seeding

    Sugato Basu;Arindam Banerjee;Raymond J. Mooney

  • A Generalized Maximum Entropy Approach to Bregman Co-clustering and Matrix Approximation

    Arindam Banerjee;Inderjit Dhillon;Joydeep Ghosh;Srujana Merugu

  • Clustering on the Unit Hypersphere using von Mises-Fisher Distributions

    Arindam Banerjee;Inderjit S. Dhillon;Joydeep Ghosh;Suvrit Sra

  • Active Semi-Supervision for Pairwise Constrained Clustering

    Sugato Basu;Arindam Banerjee;Raymond J. Mooney

  • Anomaly Detection for Discrete Sequences: A Survey

    V. Chandola;A. Banerjee;V. Kumar

  • Clickstream clustering using weighted longest common subsequences

    A. Banerjee

  • Model-based overlapping clustering

    Arindam Banerjee;Chase Krumpelman;Joydeep Ghosh;Sugato Basu

  • On the optimality of conditional expectation as a Bregman predictor

    A. Banerjee;Xin Guo;Hui Wang

  • Mapping local and global variability in plant trait distributions

    Ethan E. Butler;Abhirup Datta;Habacuc Flores-Moreno;Ming Chen

  • Bregman Alternating Direction Method of Multipliers

    Huahua Wang;Arindam Banerjee

  • Bayesian Co-clustering

    Hanhuai Shan;A. Banerjee

  • BHPMF – a hierarchical Bayesian approach to gap-filling and trait prediction for macroecology and functional biogeography

    Franziska Schrodt;Jens Kattge;Hanhuai Shan;Hanhuai Shan;Farideh Fazayeli

  • Bayesian cluster ensembles

    Hongjun Wang;Hanhuai Shan;Arindam Banerjee

  • Generalized Probabilistic Matrix Factorizations for Collaborative Filtering

    Hanhuai Shan;Arindam Banerjee

  • Jensen-Bregman LogDet Divergence with Application to Efficient Similarity Search for Covariance Matrices

    A. Cherian;S. Sra;A. Banerjee;N. Papanikolopoulos

  • Proceedings of the 2014 SIAM International Conference on Data Mining

    Mohammed Zaki;Zoran Obradovic;Pang Ning Tan;Arindam Banerjee

  • Theory-guided Data Science: A New Paradigm for Scientific Discovery.

    Anuj Karpatne;Gowtham Atluri;James H. Faghmous;Michael S. Steinbach

Frequent Co-Authors

Joydeep Ghosh
Joydeep Ghosh The University of Texas at Austin
Vipin Kumar
Vipin Kumar University of Minnesota
Fernando J. Von Zuben
Fernando J. Von Zuben State University of Campinas
Inderjit S. Dhillon
Inderjit S. Dhillon Google (United States)
Markus Reichstein
Markus Reichstein Max Planck Institute for Biogeochemistry
Shashi Shekhar
Shashi Shekhar University of Minnesota
Pradeep Ravikumar
Pradeep Ravikumar Carnegie Mellon University
Zoran Obradovic
Zoran Obradovic Temple University
Owen K. Atkin
Owen K. Atkin Australian National University

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