◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

M. Hassanaly

28 papers hereh-index 18830 citations77 works total

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

author position
  • first author16
  • middle author8
  • last author3

Across the 27 of 28 papers where every author was matched, so the position is known.

fields
  • physics.flu-dyn10
  • cs.LG6
  • physics.comp-ph3
  • stat.ML3
  • cs.CR1
  • eess.SY1

identity via Semantic Scholar / OpenAlex

activity
20172026
most citedExperimental Data Based Reduced Order Model for Analysis and Prediction of Flame Transition in Gas Turbine Combustors

23 citations · 83 across the 26 of their papers we have counts for

collaborators
Showing stat.MLShow all

3 papers · 1 filter

stat.ML2025

Swift Hydra: Self-Reinforcing Generative Framework for Anomaly Detection with Multiple Mamba Models

Nguyen Do, Truc Nguyen, Malik Hassanaly +3

Despite a plethora of anomaly detection models developed over the years, their ability to generalize to unseen anomalies remains an issue, particularly in critical systems. This pa…

stat.ML2022

Bi-fidelity Modeling of Uncertain and Partially Unknown Systems using DeepONets

Subhayan De, Matthew Reynolds, Malik Hassanaly +2

Recent advances in modeling large-scale complex physical systems have shifted research focuses towards data-driven techniques. However, generating datasets by simulating complex sy…

stat.ML2021★ 1 cited

Adversarial sampling of unknown and high-dimensional conditional distributions

Malik Hassanaly, Andrew Glaws, Karen Stengel +1

Many engineering problems require the prediction of realization-to-realization variability or a refined description of modeled quantities. In that case, it is necessary to sample e…

◍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.