- Tianle Liu, Promit Ghosal, Krishnakumar Balasubramanian, Natesh S. Pillai:
Towards Understanding the Dynamics of Gaussian-Stein Variational Gradient Descent. NeurIPS 2023 - Emil Dimitrov, Conor Dunne, Venkatesh Kannan, Karthik Krishnakumar, Pablo Lauret Martínez de Rituerto, Pablo Suárez Vieites, Rajarshi Tiwari, Richard A. Wolf:
QPCC: A Quantum Programming Course for Inhomogeneous Cohorts of Professional Learners. QCE 2023: 101-111 - Sriharini Krishnakumar, Inna Partin-Vaisband:
Vertical Power Delivery for Emerging Packaging and Integration Platforms - Power Conversion and Distribution. SOCC 2023: 1-6 - Tesi Xiao, Xuxing Chen, Krishnakumar Balasubramanian, Saeed Ghadimi:
A one-sample decentralized proximal algorithm for non-convex stochastic composite optimization. UAI 2023: 2324-2334 - Sruthi Sudhakar, Viraj Prabhu, Arvindkumar Krishnakumar, Judy Hoffman:
Mitigating Bias in Visual Transformers via Targeted Alignment. CoRR abs/2302.04358 (2023) - Tesi Xiao, Xuxing Chen, Krishnakumar Balasubramanian, Saeed Ghadimi:
A One-Sample Decentralized Proximal Algorithm for Non-Convex Stochastic Composite Optimization. CoRR abs/2302.09766 (2023) - Michael Diao, Krishnakumar Balasubramanian, Sinho Chewi, Adil Salim:
Forward-backward Gaussian variational inference via JKO in the Bures-Wasserstein Space. CoRR abs/2304.05398 (2023) - Tianle Liu, Promit Ghosal, Krishnakumar Balasubramanian, Natesh S. Pillai:
Towards Understanding the Dynamics of Gaussian-Stein Variational Gradient Descent. CoRR abs/2305.14076 (2023) - Krishnakumar Balasubramanian, Larry Goldstein, Nathan Ross, Adil Salim:
Gaussian random field approximation via Stein's method with applications to wide random neural networks. CoRR abs/2306.16308 (2023) - Xuxing Chen, Krishnakumar Balasubramanian, Saeed Ghadimi:
Stochastic Nested Compositional Bi-level Optimization for Robust Feature Learning. CoRR abs/2307.05384 (2023) - Panchamy Krishnakumari, Sascha Hoogendoorn-Lanser, Jeroen Steenbakkers, Serge P. Hoogendoorn:
Crowd Safety Manager: Towards Data-Driven Active Decision Support for Planning and Control of Crowd Events. CoRR abs/2308.00076 (2023) - Sriharini Krishnakumar, Inna Partin-Vaisband:
Vertical Power Delivery for Emerging Packaging and Integration Platforms - Power Conversion and Distribution. CoRR abs/2309.10141 (2023) - Jiaxiang Li, Krishnakumar Balasubramanian, Shiqian Ma:
Zeroth-order Riemannian Averaging Stochastic Approximation Algorithms. CoRR abs/2309.14506 (2023) - Daria Reshetova, Swetava Ganguli, C. V. Krishnakumar Iyer, Vipul Pandey:
SeMAnD: Self-Supervised Anomaly Detection in Multimodal Geospatial Datasets. CoRR abs/2309.15245 (2023) - Rhea Sanjay Sukthanker, Arjun Krishnakumar, Mahmoud Safari, Frank Hutter:
Weight-Entanglement Meets Gradient-Based Neural Architecture Search. CoRR abs/2312.10440 (2023) - 2022
- K. Rameshkumar
, R. Sriram, M. Saimurugan, P. Krishnakumar
:
Establishing Statistical Correlation Between Sensor Signature Features and Lubricant Solid Particle Contamination in a Spur Gearbox. IEEE Access 10: 106230-106247 (2022) - Nikhil Valsan Kulangareth, Karl Magtibay
, Stéphane Massé, Krishnakumar Nair, Paul Dorian, Kumaraswamy Nanthakumar, Karthikeyan Umapathy:
An In-Silico model for evaluating the directional shock vectors in terminating and modulating rotors. Comput. Biol. Medicine 146: 105665 (2022) - A. Alper Goksoy
, Anish Krishnakumar
, Md Sahil Hassan
, Allen-Jasmin Farcas, Ali Akoglu
, Radu Marculescu
, Ümit Y. Ogras
:
DAS: Dynamic Adaptive Scheduling for Energy-Efficient Heterogeneous SoCs. IEEE Embed. Syst. Lett. 14(1): 51-54 (2022) - Krishnakumar Balasubramanian, Saeed Ghadimi:
Zeroth-Order Nonconvex Stochastic Optimization: Handling Constraints, High Dimensionality, and Saddle Points. Found. Comput. Math. 22(1): 35-76 (2022) - K. Krishnakumar
, S. Indira Gandhi, C. K. Sivaranjani:
Stationary wavelet transformation based video stabilization and stitching. J. Intell. Fuzzy Syst. 43(5): 5759-5770 (2022) - Krishnakumar Arunachalam
, Senthilkumaran Thangamuthu, Vijayanand Shanmugam, Mukesh Raju, Kamali Premraj:
Deep learning and optimisation for quality of service modelling. J. King Saud Univ. Comput. Inf. Sci. 34(8 Part B): 5998-6007 (2022) - Abhishek Roy, Krishnakumar Balasubramanian, Saeed Ghadimi, Prasant Mohapatra:
Stochastic Zeroth-Order Optimization under Nonstationarity and Nonconvexity. J. Mach. Learn. Res. 23: 64:1-64:47 (2022) - Krishnakumar Santhakumar
, S. Hamidreza Kasaei
:
Lifelong 3D object recognition and grasp synthesis using dual memory recurrent self-organization networks. Neural Networks 150: 167-180 (2022) - Tesi Xiao, Krishnakumar Balasubramanian, Saeed Ghadimi:
Improved complexities for stochastic conditional gradient methods under interpolation-like conditions. Oper. Res. Lett. 50(2): 184-189 (2022) - R. Krishnakumaran
, Mohammed Raees, Supratim Ray
:
Shape analysis of gamma rhythm supports a superlinear inhibitory regime in an inhibition-stabilized network. PLoS Comput. Biol. 18(2) (2022) - Krishnakumar Balasubramanian
, Saeed Ghadimi
, Anthony Nguyen:
Stochastic Multilevel Composition Optimization Algorithms with Level-Independent Convergence Rates. SIAM J. Optim. 32(2): 519-544 (2022) - Krishnakumar R. Vasudevan
, Vigna K. Ramachandaramurthy
, Gomathi Venugopal, Josep M. Guerrero
, Janaka B. Ekanayake
, Sieh Kiong Tiong
:
Variable-Speed PICO Hydel Energy Storage With Synchronverter Control to Emulate Virtual Inertia in Autonomous Microgrids. IEEE Syst. J. 16(1): 452-463 (2022) - S. Senthil Kumar
, S. Arockia Panimalar, A. Krishnakumar
, M. Prakash
:
Investigation of Cybersecurity Attacks and Threats on Cloud Using Black Widow Algorithm with Recurrent Neural Network. SN Comput. Sci. 3(6): 451 (2022) - Kalimuthukumar Sakthivel, Rajesh Krishnasamy, Kannapiran Balasubramanian, Vijayakumar Krishnakumar, Manikandan Ganesan
:
A revolutionary Partial Resonant Inverter and doubler rectifier with MPPT based on Sliding Mode Controller for harvesting Solar photovoltaic sources. Sustain. Comput. Informatics Syst. 36: 100811 (2022) - Sizhe An
, Yigit Tuncel, Toygun Basaklar, Gokul K. Krishnakumar, Ganapati Bhat, Ümit Y. Ogras:
MGait: Model-Based Gait Analysis Using Wearable Bend and Inertial Sensors. ACM Trans. Internet Things 3(1): 7:1-7:24 (2022)