Vamsi K. Potluru

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 33

Top Topics

Diffusion Model

Tree Reweighted

Top Venues

Trans. Mach. Learn. Res.

Publications

Vamsi K. Potluru, Daniel Borrajo, Andrea Coletta, Niccolò Dalmasso, Yousef El-Laham, Elizabeth Fons, Mohsen Ghassemi, Sriram Gopalakrishnan, Vikesh Gosai, Eleonora Kreacic, Ganapathy Mani, Saheed Obitayo, Deepak Paramanand, Natraj Raman, Mikhail Solonin, Srijan Sood, Svitlana Vyetrenko, Haibei Zhu, Manuela Veloso, Tucker Balch
Synthetic Data Applications in Finance. CoRR (2024)
Zikai Xiong, Niccolò Dalmasso, Alan Mishler, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
FairWASP: Fast and Optimal Fair Wasserstein Pre-processing. AAAI (2024)
Yinan Cheng, Chi-Hua Wang, Vamsi K. Potluru, Tucker Balch, Guang Cheng
Downstream Task-Oriented Generative Model Selections on Synthetic Data Training for Fraud Detection Models. CoRR (2024)
Tucker Balch, Vamsi K. Potluru, Deepak Paramanand, Manuela Veloso
Six Levels of Privacy: A Framework for Financial Synthetic Data. CoRR (2024)
Rongzhe Wei, Eleonora Kreacic, Haoyu Peter Wang, Haoteng Yin, Eli Chien, Vamsi K. Potluru, Pan Li
On the Inherent Privacy Properties of Discrete Denoising Diffusion Models. Trans. Mach. Learn. Res. 2024 (2024)
Shuaiqi Wang, Rongzhe Wei, Mohsen Ghassemi, Eleonora Kreacic, Vamsi K. Potluru
Guarding Multiple Secrets: Enhanced Summary Statistic Privacy for Data Sharing. CoRR (2024)
Aras Selvi, Eleonora Kreacic, Mohsen Ghassemi, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
Distributionally and Adversarially Robust Logistic Regression via Intersecting Wasserstein Balls. CoRR (2024)
Mufei Li, Eleonora Kreacic, Vamsi K. Potluru, Pan Li
GraphMaker: Can Diffusion Models Generate Large Attributed Graphs? CoRR (2023)
Nishant A. Mehta, Junpei Komiyama, Vamsi K. Potluru, Andrea Nguyen, Mica Grant-Hagen
Thresholded linear bandits. AISTATS (2023)
Niccolò Dalmasso, Renbo Zhao, Mohsen Ghassemi, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
Efficient Event Series Data Modeling via First-Order Constrained Optimization. ICAIF (2023)
Rongzhe Wei, Eleonora Kreacic, Haoyu Wang, Haoteng Yin, Eli Chien, Vamsi K. Potluru, Pan Li
On the Inherent Privacy Properties of Discrete Denoising Diffusion Models. CoRR (2023)
Eleonora Kreacic, Navid Nouri, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
Differentially private synthetic data using KD-trees. UAI (2023)
Eleonora Kreacic, Navid Nouri, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
Differentially Private Synthetic Data Using KD-Trees. CoRR (2023)
Fadi Hamad, Shinpei Nakamura-Sakai, Saheed Obitayo, Vamsi K. Potluru
A supervised generative optimization approach for tabular data. CoRR (2023)
Zikai Xiong, Niccolò Dalmasso, Alan Mishler, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
FairWASP: Fast and Optimal Fair Wasserstein Pre-processing. CoRR (2023)
Fadi Hamad, Shinpei Nakamura-Sakai, Saheed Obitayo, Vamsi K. Potluru
A supervised generative optimization approach for tabular data. ICAIF (2023)
Zikai Xiong, Niccolò Dalmasso, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
Fair Wasserstein Coresets. CoRR (2023)
Renbo Zhao, Niccolò Dalmasso, Mohsen Ghassemi, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
Fast Learning of Multidimensional Hawkes Processes via Frank-Wolfe. CoRR (2022)
Riyasat Ohib, Nicolas Gillis, Niccolò Dalmasso, Sameena Shah, Vamsi K. Potluru, Sergey M. Plis
Explicit Group Sparse Projection with Applications to Deep Learning and NMF. Trans. Mach. Learn. Res. 2022 (2022)
Cenk Baykal, Vamsi K. Potluru, Sameena Shah, Manuela M. Veloso
Bandit Sampling for Multiplex Networks. CoRR (2022)
Mohsen Ghassemi, Niccolò Dalmasso, Simran Lamba, Vamsi K. Potluru, Sameena Shah, Tucker Balch, Manuela Veloso
Online Learning for Mixture of Multivariate Hawkes Processes. CoRR (2022)
Mohsen Ghassemi, Niccolò Dalmasso, Simran Lamba, Vamsi K. Potluru, Tucker Balch, Sameena Shah, Manuela Veloso
Online Learning for Mixture of Multivariate Hawkes Processes. ICAIF (2022)
Mohsen Ghassemi, Eleonora Kreacic, Niccolò Dalmasso, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
Differentially Private Learning of Hawkes Processes. CoRR (2022)
Junteng Jia, Cenk Baykal, Vamsi K. Potluru, Austin R. Benson
Graph Belief Propagation Networks. CoRR (2021)
Robert E. Tillman, Vamsi K. Potluru, Jiahao Chen, Prashant P. Reddy, Manuela Veloso
Heuristics for Link Prediction in Multiplex Networks. ECAI (2020)
Daniel Borrajo, Sriram Gopalakrishnan, Vamsi K. Potluru
Goal recognition via model-based and model-free techniques. CoRR (2020)
Robert E. Tillman, Vamsi K. Potluru, Jiahao Chen, Prashant P. Reddy, Manuela M. Veloso
Heuristics for Link Prediction in Multiplex Networks. CoRR (2020)
Hang Liao, Barak A. Pearlmutter, Vamsi K. Potluru, David P. Woodruff
Automatic Differentiation of Sketched Regression. AISTATS (2020)
Sumeet Katariya, Branislav Kveton, Zheng Wen, Vamsi K. Potluru
Conservative Exploration using Interleaving. AISTATS (2019)
Nicolas Gillis, Riyasat Ohib, Sergey M. Plis, Vamsi K. Potluru
Grouped sparse projection. CoRR (2019)
Sumeet Katariya, Branislav Kveton, Zheng Wen, Vamsi K. Potluru
Conservative Exploration using Interleaving. CoRR (2018)
Michael Kapralov, Vamsi K. Potluru, David P. Woodruff
How to Fake Multiply by a Gaussian Matrix. ICML (2016)
Michael Kapralov, Vamsi K. Potluru, David P. Woodruff
How to Fake Multiply by a Gaussian Matrix. CoRR (2016)
Sergey M. Plis, Jing Sui, Terran Lane, Sushmita Roy, Vincent P. Clark, Vamsi K. Potluru, René J. Huster, Andrew Michael, Scott R. Sponheim, Michael P. Weisend, Vince D. Calhoun
High-order interactions observed in multi-task intrinsic networks are dominant indicators of aberrant brain function in schizophrenia. NeuroImage 102 (2014)
Rogers F. Silva, Eduardo Castro, Cota Navin Gupta, Mustafa S. Çetin, Mohammad Arbabshirani, Vamsi K. Potluru, Sergey M. Plis, Vince D. Calhoun
The tenth annual MLSP competition: Schizophrenia classification challenge. MLSP (2014)
Vamsi K. Potluru, Sergey M. Plis, Jonathan Le Roux, Barak A. Pearlmutter, Vince D. Calhoun, Thomas P. Hayes
Block Coordinate Descent for Sparse NMF ICLR (Poster) (2013)
Vamsi K. Potluru
Frugal Coordinate Descent for Large-Scale NNLS. AAAI (2012)
Vamsi K. Potluru
Understanding and Exploiting the Connections between NMF and SVM. ICDM Workshops (2011)
Sergey M. Plis, Vamsi K. Potluru, Terran Lane, Vince D. Calhoun
Correlated Noise: How it Breaks NMF, and What to Do About it. J. Signal Process. Syst. 65 (3) (2011)
Vamsi K. Potluru, Sergey M. Plis, Shuang Luan, Vince D. Calhoun, Thomas P. Hayes
Sparseness and a reduction from Totally Nonnegative Least Squares to SVM. IJCNN (2011)
Vamsi K. Potluru, Sergey M. Plis, Morten Mørup, Vincent D. Calhoun, Terran Lane
Efficient Multiplicative Updates for Support Vector Machines. SDM (2009)
Vamsi K. Potluru, Sergey M. Plis, Morten Mørup, Vince D. Calhoun, Terran Lane
Multiplicative updates For Non-Negative Kernel SVM CoRR (2009)
Vamsi K. Potluru, Vince D. Calhoun
Group learning using contrast NMF : Application to functional and structural MRI of schizophrenia. ISCAS (2008)