According to our database1, Bhavya Kailkhura authored at least 61 papers between 2013 and 2020.
Legend:Book In proceedings Article PhD thesis Other
A Primer on Zeroth-Order Optimization in Signal Processing and Machine Learning: Principals, Recent Advances, and Applications.
IEEE Signal Process. Mag., 2020
Int. J. Comput. Vis., 2020
Probabilistic Neighbourhood Component Analysis: Sample Efficient Uncertainty Estimation in Deep Learning.
Explainable Deep Learning for Uncovering Actionable Scientific Insights for Materials Discovery and Design.
Mix-n-Match: Ensemble and Compositional Methods for Uncertainty Calibration in Deep Learning.
Towards an Efficient and General Framework of Robust Training for Graph Neural Networks.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Secure Distributed Detection of Sparse Signals via Falsification of Local Compressive Measurements.
IEEE Trans. Signal Process., 2019
Joint Sparsity Pattern Recovery With 1-b Compressive Sensing in Distributed Sensor Networks.
IEEE Trans. Signal Inf. Process. over Networks, 2019
A Look at the Effect of Sample Design on Generalization through the Lens of Spectral Analysis.
On the Design of Black-Box Adversarial Examples by Leveraging Gradient-Free Optimization and Operator Splitting Method.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019
J. Mach. Learn. Res., 2018
Universal Decision-Based Black-Box Perturbations: Breaking Security-Through-Obscurity Defenses.
An Unsupervised Approach to Solving Inverse Problems using Generative Adversarial Networks.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018
Human-Machine Inference Networks for Smart Decision Making: Opportunities and Challenges.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Springer, ISBN: 978-981-13-2311-9, 2018
IEEE Trans. Signal Process., 2017
IEEE Trans. Signal Inf. Process. over Networks, 2017
Proceedings of the International Conference for High Performance Computing, 2017
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017
Byzantine-Resilient locally optimum detection using collaborative autonomous networks.
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017
IEEE Wirel. Commun. Lett., 2016
IEEE Signal Process. Lett., 2016
Influential Node Detection in Implicit Social Networks using Multi-task Gaussian Copula Models.
Proceedings of the NIPS 2016 Time Series Workshop, 2016
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016
IEEE Trans. Signal Process., 2015
IEEE Trans. Signal Process., 2015
IEEE Signal Process. Lett., 2015
IEEE Commun. Mag., 2015
Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015
IEEE Trans. Signal Process., 2014
Proceedings of the 11th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2014
Proceedings of the IEEE International Conference on Acoustics, 2014
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014
Proceedings of the International Conference on Computing, Networking and Communications, 2013
Proceedings of the IEEE International Conference on Acoustics, 2013