Bhaskar Mukhoty

Orcid: 0000-0002-8594-980X

According to our database1, Bhaskar Mukhoty authored at least 17 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
Certified Adversarial Robustness for Rate Encoded Spiking Neural Networks.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Iterative Regularization with k-support Norm: An Important Complement to Sparse Recovery.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Enhancing Training of Spiking Neural Network with Stochastic Latency.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Energy Efficient Training of SNN using Local Zeroth Order Method.
CoRR, 2023

Direct Training of SNN using Local Zeroth Order Method.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Variance Reduced Online Gradient Descent for Kernelized Pairwise Learning with Limited Memory.
Proceedings of the Asian Conference on Machine Learning, 2023

Corruption-Tolerant Algorithms for Generalized Linear Models.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
AGGLIO: Global Optimization for Locally Convex Functions.
Proceedings of the CODS-COMAD 2022: 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD), Bangalore, India, January 8, 2022

2021
Robust non-parametric regression via incoherent subspace projections.
Mach. Learn., 2021

CatchAll: A Robust Multivariate Intrusion Detection System for Cyber-Physical Systems using Low Rank Matrix.
Proceedings of the CPSIoTSec '21: Proceedings of the 2th Workshop on CPS&IoT Security and Privacy, 2021

2020
Unsupervised Learning Based Robust Multivariate Intrusion Detection System for Cyber-Physical Systems using Low Rank Matrix.
CoRR, 2020

Epidemiologically and Socio-economically Optimal Policies via Bayesian Optimization.
CoRR, 2020

A parameter-free affinity based clustering.
Appl. Intell., 2020

2019
Sequence to sequence deep learning models for solar irradiation forecasting.
CoRR, 2019

Globally-convergent Iteratively Reweighted Least Squares for Robust Regression Problems.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Model Extraction Warning in MLaaS Paradigm.
Proceedings of the 34th Annual Computer Security Applications Conference, 2018

2015
A Parameter-free Affinity Based Clustering.
CoRR, 2015


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