1 citations · 1 across the 2 of their papers we have counts for
4 papers
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…
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…