Yedid Hoshen Senior Lecturer (Assistant Professor), School of Computer Science and Engineering, the Hebrew University of Jerusalem Email: yedid.hoshen_at_mail.huji.ac.il

About Me

I am a Senior Lecturer (Assistant Professor) at the School of Computer Science and Engineering, the Hebrew University of Jerusalem.

Recently I was a Research Scientist at Facebook AI Research in New York And Tel Aviv. My current research interests include anomaly detection and learning disentangled representations. I completed my PhD at the Hebrew University of Jerusalem, supervised by Prof. Shmuel Peleg. Previously I studied Physics at the University of Oxford, traded options (volatility arbitrage) for a prop desk at KBC-FP, designed mission control algorithms for the Israeli Space Program and worked at Google for two summers (Google [x] and Google Research NYC).

Publications

	Scaling-up Disentanglement for Image Translation A. Gabbay Y. Hoshen ICCV 2021 project page
	Deep Single Image Manipulation Y. Vinker*, E. Horwitz*, N. Zabari Y. Hoshen ICCV 2021 project page   |   code
	Reconstruction-Based Membership Inference Attacks are Easier on Difficult Problems A. Shafran, S. Peleg Y. Hoshen ICCV 2021 paper
	PANDA -- Adapting Pretrained Features for Anomaly Detection T. Reiss*, N. Cohen*, L. Bergman Y. Hoshen CVPR 2021 paper   |   code
	Crypto-Oriented Neural Architecture Design A. Shafran, G. Segev, S. Peleg Y. Hoshen ICASSP 2021 paper
	Classification-Based Anomaly Detection for General Data L. Bergman Y. Hoshen ICLR 2020 paper   |   code
	Demystifying Inter-Class Disentanglement A. Gabbay Y. Hoshen ICLR 2020 paper   |   code
	Neural Separation of Observed and Unobserved Distributions T. Halperin, A. Ephrat Y. Hoshen ICML 2019 paper   |   code
	Non-Adversarial Image Synthesis with Generative Latent Nearest Neighbors Y. Hoshen, K. Li and J. Malik CVPR 2019 paper   |   code
	Towards Unsupervised Single-Channel Blind Source Separation using Adversarial Pair Unmix-and-Remix Y. Hoshen ICASSP 2019 paper
	Non-Adversarial Mapping with VAEs Y. Hoshen NIPS 2018 paper
	Non-Adversarial Unsupervised Word Translation Y. Hoshen, L. Wolf EMNLP 2018 arXiv   |   code
	NAM: Non-Adversarial Unsupervised Domain Mapping Y. Hoshen, L. Wolf ECCV 2018 arXiv   |   ICLR extended abstract   |   code
	Unsupervised Correlation Analysis Y. Hoshen L. Wolf CVPR 2018 arXiv
	Identifying Analogies Across Domains Y. Hoshen L. Wolf ICLR 2018 paper
	VAIN: Attentional Multi-agent Predictive Modeling Y. Hoshen NIPS 2017 arXiv
	An Egocentric Look at Video Photographer Identity Y. Hoshen S. Peleg CVPR 2016 arXiv   |   popular press
	Visual Learning of Arithmetic Operations Y. Hoshen S. Peleg AAAI 2016 arXiv   |   code
	Live Video Synopsis for Multiple Cameras Y. Hoshen S. Peleg ICIP 2015 paper
	Speech Acoustic Modeling From Raw Multichannel Waveforms Y. Hoshen R.J. Weiss K.W. Wilson ICASSP 2015 paper
	The Information in Temporal Histograms Y. Hoshen S. Peleg WACV 2015 paper
	Wisdom of the Crowd in Egocentric Video Curation Y. Hoshen G. Ben-Artzi S. Peleg CVPR 2014 - Workshop paper
	Efficient Representation of Distributions for Background Subtraction Y. Hoshen Y. Poleg C. Arora S. Peleg AVSS 2013 paper

Resume

My resume can be found here.