Yedid Hoshen
Ph.D. Hebrew University 2015
Facts
5 properties- Instance of
- human
- Occupation
- computer scientist
- Educated at
- Hebrew University of Jerusalem[2]
- Doctoral advisor
- Shmuel Peleg[3]
🏷️ Also known as
en Yedid Hoshen
🔖 Identifiers · 8
- ORCID iD
- 0000-0002-0967-4541
- VIAF cluster ID
- 320147869686274982066
- DBLP author ID
- 136/0280
- Google Knowledge Graph ID
- /g/11f0zd0j9j
- Google Scholar author ID
- 6y1-qS4AAAAJ
- IEEE Xplore author ID
- 37077150800
- National Library of Israel J9U ID
- 987007599028005171
🔗 Connections
Author of 13
Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection,
Classification-Based Anomaly Detection for General Data,
Disentanglement of single-cell data with biolord,
Identifying Analogies Across Domains,
Image Shape Manipulation from a Single Augmented Training Sample,
Mean-Shifted Contrastive Loss for Anomaly Detection,
Membership Inference Attacks are Easier on Difficult Problems,
Neural separation of observed and unobserved distributions
+5 more
← Authored by 13
Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection,
Classification-Based Anomaly Detection for General Data,
Disentanglement of single-cell data with biolord,
Identifying Analogies Across Domains,
Image Shape Manipulation from a Single Augmented Training Sample,
Mean-Shifted Contrastive Loss for Anomaly Detection,
Membership Inference Attacks are Easier on Difficult Problems,
Neural separation of observed and unobserved distributions
+5 more
Affiliated with 2
Doctoral advisor 1
Doctoral advisors 1
Educated at 1
Instance of 1
Occupation 1
Sex or gender 1
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