activity
20102021
most citedNetwork Archaeology: Uncovering Ancient Networks from Present-day Interactions

111 citations · 132 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG2021★ 2 cited

Algorithmic insights on continual learning from fruit flies

Yang Shen, Sanjoy Dasgupta, Saket Navlakha

Continual learning in computational systems is challenging due to catastrophic forgetting. We discovered a two layer neural circuit in the fruit fly olfactory system that addresses…

cs.CL2021

Can a Fruit Fly Learn Word Embeddings?

Yuchen Liang, Chaitanya K. Ryali, Benjamin Hoover +4

The mushroom body of the fruit fly brain is one of the best studied systems in neuroscience. At its core it consists of a population of Kenyon cells, which receive inputs from mult…

cs.LG2018★ 7 cited

Improving Similarity Search with High-dimensional Locality-sensitive Hashing

Jaiyam Sharma, Saket Navlakha

We propose a new class of data-independent locality-sensitive hashing (LSH) algorithms based on the fruit fly olfactory circuit. The fundamental difference of this approach is that…

cs.NE2016★ 7 cited

Using inspiration from synaptic plasticity rules to optimize traffic flow in distributed engineered networks

Jonathan Y. Suen, Saket Navlakha

Controlling the flow and routing of data is a fundamental problem in many distributed networks, including transportation systems, integrated circuits, and the Internet. In the brai…

q-bio.QM2016★ 5 cited

Distributed Gradient Descent in Bacterial Food Search

Shashank Singh, Sabrina Rashid, Zhicheng Long +4

Communication and coordination play a major role in the ability of bacterial cells to adapt to ever changing environments and conditions. Recent work has shown that such coordinati…

q-bio.MN2010★ 111 cited

Network Archaeology: Uncovering Ancient Networks from Present-day Interactions

Saket Navlakha, Carl Kingsford

Often questions arise about old or extinct networks. What proteins interacted in a long-extinct ancestor species of yeast? Who were the central players in the Last.fm social networ…