activity
20202023
most citedMassively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scaling

21 citations · 38 across the 7 of their papers we have counts for

collaborators

7 papers

cond-mat.soft2023★ 1 cited

Stochastic resonance in a model of a periodically driven DNA : Multiple transitions, scaling and sequence dependence

Ramu Kumar Yadav, M. Suman Kalyan, Rajeev Kapri +1

We numerically study stochastic resonance in the unzipping of a model double-stranded DNA by a periodic force. We observe multiple peaks in stochastic resonance in the output signa…

cs.CL2023★ 8 cited

Tsetlin Machine Embedding: Representing Words Using Logical Expressions

Bimal Bhattarai, Ole-Christoffer Granmo, Lei Jiao +2

Embedding words in vector space is a fundamental first step in state-of-the-art natural language processing (NLP). Typical NLP solutions employ pre-defined vector representations t…

cond-mat.soft2022

Study of unzipping transitions in an adsorbed polymer by a periodic force

Ramu Kumar Yadav

Using Monte Carlo simulations, we study the dynamic transitions in the unzipping of an adsorbed homogeneous polymer on a surface (or wall). We consider three different types of sur…

cs.LG2021★ 2 cited

Drop Clause: Enhancing Performance, Interpretability and Robustness of the Tsetlin Machine

Jivitesh Sharma, Rohan Yadav, Ole-Christoffer Granmo +1

In this article, we introduce a novel variant of the Tsetlin machine (TM) that randomly drops clauses, the key learning elements of a TM. In effect, TM with drop clause ignores a r…

cs.CL2021

Enhancing Interpretable Clauses Semantically using Pretrained Word Representation

Rohan Kumar Yadav, Lei Jiao, Ole-Christoffer Granmo +1

Tsetlin Machine (TM) is an interpretable pattern recognition algorithm based on propositional logic, which has demonstrated competitive performance in many Natural Language Process…

cond-mat.soft2020★ 6 cited

Unzipping of a double-stranded block copolymer DNA by a periodic force

Ramu Kumar Yadav, Rajeev Kapri

Using Monte Carlo simulations, we study the hysteresis in unzipping of a double stranded block copolymer DNA with repeat units. Here and represent two different…

cs.AI2020★ 21 cited

Massively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scaling

K. Darshana Abeyrathna, Bimal Bhattarai, Morten Goodwin +5

Using logical clauses to represent patterns, Tsetlin Machines (TMs) have recently obtained competitive performance in terms of accuracy, memory footprint, energy, and learning spee…