2 citations · 2 across the 4 of their papers we have counts for
10 papers
Further Collapses in TFNP
Mika Göös, Alexandros Hollender, Siddhartha Jain +4
We show . Here the class consists of all total search problems that reduce to the End-of-Potential-Line problem, which…
Expert Graphs: Synthesizing New Expertise via Collaboration
Bijan Mazaheri, Siddharth Jain, Jehoshua Bruck
Consider multiple experts with overlapping expertise working on a classification problem under uncertain input. What constitutes a consistent set of opinions? How can we predict th…
Robust Correction of Sampling Bias Using Cumulative Distribution Functions
Bijan Mazaheri, Siddharth Jain, Jehoshua Bruck
Varying domains and biased datasets can lead to differences between the training and the target distributions, known as covariate shift. Current approaches for alleviating this oft…
Coding for Optimized Writing Rate in DNA Storage
Siddharth Jain, Farzad Farnoud, Moshe Schwartz +1
A method for encoding information in DNA sequences is described. The method is based on the precision-resolution framework, and is aimed to work in conjunction with a recently sugg…
CodNN -- Robust Neural Networks From Coded Classification
Netanel Raviv, Siddharth Jain, Pulakesh Upadhyaya +2
Deep Neural Networks (DNNs) are a revolutionary force in the ongoing information revolution, and yet their intrinsic properties remain a mystery. In particular, it is widely known…
Information Condensing Active Learning
Siddhartha Jain, Ge Liu, David Gifford
We introduce Information Condensing Active Learning (ICAL), a batch mode model agnostic Active Learning (AL) method targeted at Deep Bayesian Active Learning that focuses on acquir…