◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Rupsa Saha

University of Agder

6 papers hereh-index 10419 citations27 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author4

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.LG3
  • cs.AI2
  • cs.CL1
affiliations
  • University of Agder

identity via Semantic Scholar / OpenAlex

activity
20202025
most citedMassively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scaling

21 citations · 23 across the 6 of their papers we have counts for

collaborators
Showing cs.LGShow all

3 papers · 1 filter

cs.LG2025

The Tsetlin Machine Goes Deep: Logical Learning and Reasoning With Graphs

Ole-Christoffer Granmo, Youmna Abdelwahab, Per-Arne Andersen +12

Pattern recognition with concise and flat AND-rules makes the Tsetlin Machine (TM) both interpretable and efficient, while the power of Tsetlin automata enables accuracy comparable…

cs.LG2024★ 1 cited

Exploring Effects of Hyperdimensional Vectors for Tsetlin Machines

Vojtech Halenka, Ahmed K. Kadhim, Paul F. A. Clarke +5

Tsetlin machines (TMs) have been successful in several application domains, operating with high efficiency on Boolean representations of the input data. However, Booleanizing compl…

cs.LG2023★ 1 cited

Building Concise Logical Patterns by Constraining Tsetlin Machine Clause Size

K. Darshana Abeyrathna, Ahmed Abdulrahem Othman Abouzeid, Bimal Bhattarai +8

Tsetlin machine (TM) is a logic-based machine learning approach with the crucial advantages of being transparent and hardware-friendly. While TMs match or surpass deep learning acc…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.