◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

M. Daneshtalab

8 papers hereh-index 6165 citations17 works total

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

author position
  • middle author2
  • last author6

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.LG3
  • cs.DC1
same name
  • M. Daneshtalab — 9 papers, h 33

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20222025
most citedDASS: Differentiable Architecture Search for Sparse neural networks

14 citations · 16 across the 8 of their papers we have counts for

collaborators
Showing cs.LGShow all

3 papers · 1 filter

cs.LG2023★ 1 cited

A Systematic Literature Review on Hardware Reliability Assessment Methods for Deep Neural Networks

Mohammad Hasan Ahmadilivani, Mahdi Taheri, Jaan Raik +2

Artificial Intelligence (AI) and, in particular, Machine Learning (ML) have emerged to be utilized in various applications due to their capability to learn how to solve complex pro…

cs.LG2023

Accurate Detection of Paroxysmal Atrial Fibrillation with Certified-GAN and Neural Architecture Search

Mehdi Asadi, Fatemeh Poursalim, Mohammad Loni +3

This paper presents a novel machine learning framework for detecting Paroxysmal Atrial Fibrillation (PxAF), a pathological characteristic of Electrocardiogram (ECG) that can lead t…

cs.LG2022

GTFLAT: Game Theory Based Add-On For Empowering Federated Learning Aggregation Techniques

Hamidreza Mahini, Hamid Mousavi, Masoud Daneshtalab

GTFLAT, as a game theory-based add-on, addresses an important research question: How can a federated learning algorithm achieve better performance and training efficiency by settin…

◍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.