8 citations · 10 across the 5 of their papers we have counts for
7 papers
Offline RL With Resource Constrained Online Deployment
Jayanth Reddy Regatti, Aniket Anand Deshmukh, Frank Cheng +3
Offline reinforcement learning is used to train policies in scenarios where real-time access to the environment is expensive or impossible. As a natural consequence of these harsh…
Representation Learning for Clustering via Building Consensus
Aniket Anand Deshmukh, Jayanth Reddy Regatti, Eren Manavoglu +1
In this paper, we focus on unsupervised representation learning for clustering of images. Recent advances in deep clustering and unsupervised representation learning are based on t…
Heterogeneity in Neuronal Calcium Spike Trains based on Empirical Distance
Sathish Ande, Jayanth R Regatti, Neha Pandey +3
Statistical similarities between neuronal spike trains could reveal significant information on complex underlying processing. In general, the similarity between synchronous spike t…
Information Content in Neuronal Calcium Spike Trains: Entropy Rate Estimation based on Empirical Probabilities
Sathish Ande, Srinivas Avasarala, Jayanth R Regatti +5
Quantification of information content and its temporal variation in intracellular calcium spike trains in neurons helps one understand functions such as memory, learning, and cogni…
Consensus Clustering With Unsupervised Representation Learning
Jayanth Reddy Regatti, Aniket Anand Deshmukh, Eren Manavoglu +1
Recent advances in deep clustering and unsupervised representation learning are based on the idea that different views of an input image (generated through data augmentation techni…
ByGARS: Byzantine SGD with Arbitrary Number of Attackers
Jayanth Regatti, Hao Chen, Abhishek Gupta
We propose two novel stochastic gradient descent algorithms, ByGARS and ByGARS++, for distributed machine learning in the presence of any number of Byzantine adversaries. In these…
Distributed SGD Generalizes Well Under Asynchrony
Jayanth Regatti, Gaurav Tendolkar, Yi Zhou +2
The performance of fully synchronized distributed systems has faced a bottleneck due to the big data trend, under which asynchronous distributed systems are becoming a major popula…