PhD and MSc Theses

PhD and MSc Theses, since 1988

Advisor ASSOCIATE PROF. Tamir Hazan
Advisor's Email
No of theses 24
Department Data and Decision Sciences
Department Web Site
Student's Name Graduation Year Degree Abstracts Research Name
Schwartz Idan 2022 PhD Abstracts Cognitive Models in Deep Learning
Gat Itai 2024 PhD Abstracts Functional Analysis of Deep Neural Networks
Lorberbom Guy 2023 PhD Abstracts Optimization of High-Dimensional Discrete Variables in Deep Learning
Voldman Sergey 2020 PhD Abstracts Nonconvex finite Sum Optimization: Algorithms and Theory
Cohen Alon 2019 PhD Abstracts Structure and Combinatorics in Online Learning
Ross Chana 2020 MSc Abstracts Learning to Anticipate
Rivlin Or 2021 MSc Abstracts Generalized Planning with Deep Reinforcement Learning
Nemcovsky Yaniv 2020 MSc On the Generalization of Gaussian Dropout using PAC-Bayesian Bounds and Log-Sobolev Inequalities
Drozdov Igor 2023 MSc Abstracts Semantic Enhancement of Vision Transformers Relevancy Maps Improves Interpretability and Classification Capabilities
Sinai Hadar 2023 MSc Abstracts Turn it ONN: Ordered Neural Networks for Simple and Efficient Model Scaling
Guez Itai 2023 MSc Abstracts Development of a Machine-Learning Model to Assess Crohn's Disease Severity from Magnetic Resonance Enterography Data
Shoshan Vered Rozelia 2023 MSc Abstracts Improve Human Decisions Prediction using Deep Neural Networks
Ron Tom 2023 MSc Abstracts Dual Decomposition of Convex Optimization Layers for Consistent Attention in Medical Images
Berliner Alon 2022 MSc Abstracts Learning Discrete Structured Variational Auto-Encoder using Natural Evolution Strategies
Mergui Lahmi Meghan 2021 MSc Abstracts Prediction of Individual Choice Behavior
Yazdi Ram 2021 MSc Abstracts Perturbation Based Learning for Structured NLP Tasks with Application to Dependency Parsing
Manheim Yanay 2021 MSc Abstracts Variational Data Augmentation with Deep Learning Generative Models for lmbalanced Learning
Manos Adi 2021 MSc Abstracts Statistical Learning for Pedestrian Indoor Navigation
Cohen Indelman Hedda 2021 MSc Abstracts Learning Randomly Perturbed Structured Predictors for Direct Loss Minimization
Goldreich Gilad 2021 MSc Abstracts Detecting Severely Altered Biodistribution in FDG PET/CT Scans using Machine Learning and Deep Learning Techniques
Heimann Noam 2019 MSc Abstracts Partially Observable Markov Decision Process under Perfect Sensing Information POMDPUPI
Golan Sapir 2018 MSc Abstracts Duplicate Representative Problem in Probabilistic Entity Resolution
Ben-David Avrech 2022 MSc Abstracts Combinatorial Optimization with Graph Reinforcement Learning
Mayo Bar 2021 MSc Abstracts Visual Navigation with Spatial Attention