activity
20202023
most citedEfficient LDPC Decoding using Physical Computation

1 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IT2023★ 1 cited

Efficient LDPC Decoding using Physical Computation

Uday Kumar Reddy Vengalam, Andrew Hahn, Yongchao Liu +3

Due to 5G deployment, there is significant interest in LDPC decoding. While much research is devoted on efficient hardwiring of algorithms based on Belief Propagation (BP), it has…

cs.AI2023★ 1 cited

Augmented Electronic Ising Machine as an Effective SAT Solver

Anshujit Sharma, Matthew Burns, Andrew Hahn +1

With the slowdown of improvement in conventional von Neumann systems, increasing attention is paid to novel paradigms such as Ising machines. They have very different approach to N…

cs.ET2023

Supporting Energy-Based Learning With An Ising Machine Substrate: A Case Study on RBM

Uday Kumar Reddy Vengalam, Yongchao Liu, Tong Geng +2

Nature apparently does a lot of computation constantly. If we can harness some of that computation at an appropriate level, we can potentially perform certain type of computation (…

math.OC2021

Debiasing In-Sample Policy Performance for Small-Data, Large-Scale Optimization

Vishal Gupta, Michael Huang, Paat Rusmevichientong

Motivated by the poor performance of cross-validation in settings where data are scarce, we propose a novel estimator of the out-of-sample performance of a policy in data-driven op…

quant-ph2020★ 1 cited

A CMOS-compatible Ising Machine with Bistable Nodes

Richard Afoakwa, Yiqiao Zhang, Uday Kumar Reddy Vengalam +2

Physical Ising machines rely on nature to guide a dynamical system towards an optimal state which can be read out as a heuristical solution to a combinatorial optimization problem.…