Hila Manor
Scholar

Hila Manor

Google Scholar ID: Pz32vm4AAAAJ
PhD candidate, Electrical and Computer Engineering, Technion
Computer VisionMachine LearningGenerative modelsSignal Processing
Citations & Impact
All-time
Citations
73
 
H-index
3
 
i10-index
3
 
Publications
5
 
Co-authors
7
list available
Resume (English only)
Academic Achievements
  • Published multiple papers, including but not limited to:
  • - 'Compressed Image Generation with Denoising Diffusion Codebook Models', ICML 2025
  • - 'When Diffusion Models Memorize: Inductive Biases in Probability Flow of Minimum-Norm Shallow Neural Nets', ICML 2025
  • - 'Zero-Shot Unsupervised and Text-Based Audio Editing Using DDPM Inversion', ICML 2024
  • - 'On the Posterior Distribution in Denoising: Application to Uncertainty Quantification', ICLR 2024
  • - 'From Posterior Sampling to Meaningful Diversity in Image Restoration', ICLR 2024
Research Experience
  • No specific work experience or research projects mentioned.
Education
  • PhD candidate at the Electrical and Computer Engineering department of Technion, under the supervision of Prof. Tomer Michaeli. Received BSc (Summa Cum Laude) in Electrical and Computer Engineering from Technion as well.
Background
  • Research interests lie in the field of deep learning, with a focus on generative models. Particularly interested in exploring their applications, interpretability, and reliability.
Miscellany
  • Contact: hila dot manor at campus dot technion dot ac dot il