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researcher

Yaniv Romano

4 papers here

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

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • quant-ph1
  • stat.ML1
ORCID 0000-0001-9031-8829
same name
  • Yaniv Romano — 15 papers, h 27
  • Yaniv Romano — 1 paper

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
20162023
most citedConvolutional Neural Networks Analyzed via Convolutional Sparse Coding

36 citations · 46 across the 4 of their papers we have counts for

collaborators

4 papers

quant-ph2023

Lightsolver challenges a leading deep learning solver for Max-2-SAT problems

Hod Wirzberger, Assaf Kalinski, Idan Meirzada +4

Maximum 2-satisfiability (MAX-2-SAT) is a type of combinatorial decision problem that is known to be NP-hard. In this paper, we compare LightSolver's quantum-inspired algorithm to…

cs.CV2022★ 5 cited

Semantic uncertainty intervals for disentangled latent spaces

Swami Sankaranarayanan, Anastasios N. Angelopoulos, Stephen Bates +2

Meaningful uncertainty quantification in computer vision requires reasoning about semantic information -- say, the hair color of the person in a photo or the location of a car on t…

cs.CV2016★ 5 cited

Example-Based Image Synthesis via Randomized Patch-Matching

Yi Ren, Yaniv Romano, Michael Elad

Image and texture synthesis is a challenging task that has long been drawing attention in the fields of image processing, graphics, and machine learning. This problem consists of m…

stat.ML2016★ 36 cited

Convolutional Neural Networks Analyzed via Convolutional Sparse Coding

Vardan Papyan, Yaniv Romano, Michael Elad

Convolutional neural networks (CNN) have led to many state-of-the-art results spanning through various fields. However, a clear and profound theoretical understanding of the forwar…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.