activity
20142018
most citedEmpirical Bayes and Full Bayes for Signal Estimation

9 citations · 17 across the 5 of their papers we have counts for

collaborators

5 papers

q-bio.PE2018★ 3 cited

Optimizing a jump-diffusion model of a starving forager

Nikhil Krishnan, Zachary P. Kilpatrick

We analyze the movement of a starving forager on a one-dimensional periodic lattice, where each location contains one unit of food. As the forager lands on sites with food, it cons…

q-bio.NC2017

Synaptic efficacy shapes resource limitations in working memory

Nikhil Krishnan, Daniel B Poll, Zachary P Kilpatrick

Working memory (WM) is limited in its temporal length and capacity. Classic conceptions of WM capacity assume the system possesses a finite number of slots, but recent evidence sug…

cs.IT2014★ 4 cited

A Universal Parallel Two-Pass MDL Context Tree Compression Algorithm

Nikhil Krishnan, Dror Baron

Computing problems that handle large amounts of data necessitate the use of lossless data compression for efficient storage and transmission. We present a novel lossless universal…

cs.IT2014★ 1 cited

A Parallel Two-Pass MDL Context Tree Algorithm for Universal Source Coding

Nikhil Krishnan, Dror Baron, Mehmet Kıvanç Mıhçak

We present a novel lossless universal source coding algorithm that uses parallel computational units to increase the throughput. The length- input sequence is partitioned into $…

cs.IT2014★ 9 cited

Empirical Bayes and Full Bayes for Signal Estimation

Yanting Ma, Jin Tan, Nikhil Krishnan +1

We consider signals that follow a parametric distribution where the parameter values are unknown. To estimate such signals from noisy measurements in scalar channels, we study the…