47 citations · 70 across the 5 of their papers we have counts for
6 papers
GraN-GAN: Piecewise Gradient Normalization for Generative Adversarial Networks
Vineeth S. Bhaskara, Tristan Aumentado-Armstrong, Allan Jepson +1
Modern generative adversarial networks (GANs) predominantly use piecewise linear activation functions in discriminators (or critics), including ReLU and LeakyReLU. Such models lear…
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results
Kai Zhang, Martin Danelljan, Yawei Li +75
This paper reviews the AIM 2020 challenge on efficient single image super-resolution with focus on the proposed solutions and results. The challenge task was to super-resolve an in…
Exploiting Uncertainty of Loss Landscape for Stochastic Optimization
Vineeth S. Bhaskara, Sneha Desai
We introduce novel variants of momentum by incorporating the variance of the stochastic loss function. The variance characterizes the confidence or uncertainty of the local feature…
Emulating malware authors for proactive protection using GANs over a distributed image visualization of dynamic file behavior
Vineeth S. Bhaskara, Debanjan Bhattacharyya
Malware authors have always been at an advantage of being able to adversarially test and augment their malicious code, before deploying the payload, using anti-malware products at…
Generalized Entanglement Measure for Continuous Variable Systems
S Nibedita Swain, Vineeth S. Bhaskara, Prasanta K. Panigrahi
Concurrence introduced by Hill and Wootters [Phys. Rev. Lett. 78, 5022 (1997)], provides an important measure of entanglement for a general pair of qubits that is strictly positive…
Generalized concurrence measure for faithful quantification of multiparticle pure state entanglement using Lagrange's identity and wedge product
Vineeth S. Bhaskara, Prasanta K. Panigrahi
Concurrence, introduced by Hill and Wootters [Phys. Rev. Lett. 78, 5022 (1997)], provides an important measure of entanglement for a general pair of qubits that is faithful: strict…