Michal Golovanevsky
Scholar

Michal Golovanevsky

Google Scholar ID: L39vB-sAAAAJ
Brown University
artificial intelligencemachine learningdeep learningmultimodal learning
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
158
 
H-index
4
 
i10-index
2
 
Publications
6
 
Co-authors
6
list available
Contact
GitHubOpen ↗
Publications
5 items
When to Call an Apple Red: Humans Follow Introspective Rules, VLMs Don't
2026
Cited
0
Mechanisms of Prompt-Induced Hallucination in Vision-Language Models
arXiv.org · 2026
Cited
0
PiCME: Pipeline for Contrastive Modality Evaluation and Encoding in the MIMIC Dataset
2025
Cited
0
Pixels Versus Priors: Controlling Knowledge Priors in Vision-Language Models through Visual Counterfacts
2025
Cited
0
What Do VLMs NOTICE? A Mechanistic Interpretability Pipeline for Noise-free Text-Image Corruption and Evaluation
arXiv.org · 2024
Cited
0
Resume (English only)
Academic Achievements
  • Has several open-source projects such as MADDi, OvO, Shape-Blind, etc., with 9 stars on GitHub.
Research Experience
  • Involved in multiple research projects including MADDi - Multimodal Alzheimer’s Disease Diagnosis framework.
Co-authors
6 total
Ritambhara Singh
Ritambhara Singh
Associate Professor, Brown University
Carsten Eickhoff
Carsten Eickhoff
Professor, University of Tübingen
William Rudman
William Rudman
Postdoctoral Fellow, UT-Austin
Amir Bar
Amir Bar
Meta (FAIR)
Yann LeCun
Yann LeCun
Chief AI Scientist at Facebook & JT Schwarz Professor at the Courant Institute, New York University
Michael A. Lepori
Michael A. Lepori
Brown University