Ph.D and MS.c Theses, since 1988.
No.  |
Student's Name |
Graduation
Year |
Degree |
Abstracts |
ResearchName |
| 1 |
Ben-David Avrech |
2022 |
MSc |
Abstracts
|
Combinatorial Optimization with Graph Reinforcement Learning |
| 2 |
Berliner Alon |
2022 |
MSc |
Abstracts
|
Learning Discrete Structured Variational Auto-Encoder using Natural Evolution Strategies |
| 3 |
Mayo Bar |
2021 |
MSc |
Abstracts
|
Visual Navigation with Spatial Attention |
| 4 |
Cohen Indelman Hedda |
2021 |
MSc |
Abstracts
|
Learning Randomly Perturbed Structured Predictors for Direct Loss Minimization |
| 5 |
Yazdi Ram |
2021 |
MSc |
Abstracts
|
Perturbation Based Learning for Structured NLP Tasks with Application to Dependency Parsing |
| 6 |
Manos Adi |
2021 |
MSc |
Abstracts
|
Statistical Learning for Pedestrian Indoor Navigation |
| 7 |
Goldreich Gilad |
2021 |
MSc |
Abstracts
|
Detecting Severely Altered Biodistribution in FDG PET/CT Scans using Machine Learning and Deep Learning Techniques |
| 8 |
Manheim Yanay |
2021 |
MSc |
Abstracts
|
Variational Data Augmentation with Deep Learning Generative Models for lmbalanced Learning |
| 9 |
Mergui Lahmi Meghan |
2021 |
MSc |
Abstracts
|
Prediction of Individual Choice Behavior |
| 10 |
Rivlin Or |
2021 |
MSc |
Abstracts
|
Generalized Planning with Deep Reinforcement Learning |
| 11 |
Ross Chana |
2020 |
MSc |
Abstracts
|
Learning to Anticipate |
| 12 |
Nemcovsky Yaniv |
2020 |
MSc |
| On the Generalization of Gaussian Dropout using PAC-Bayesian Bounds and Log-Sobolev Inequalities |
| 13 |
Voldman Sergey |
2020 |
PhD |
Abstracts
|
Nonconvex finite Sum Optimization: Algorithms and Theory |
| 14 |
Heimann Noam |
2019 |
MSc |
Abstracts
|
Partially Observable Markov Decision Process under Perfect Sensing Information POMDPUPI |
| 15 |
Cohen Alon |
2019 |
PhD |
Abstracts
|
Structure and Combinatorics in Online Learning |
| 16 |
Golan Sapir |
2018 |
MSc |
Abstracts
|
Duplicate Representative Problem in Probabilistic Entity Resolution |
Last updated on: Monday ,June 27, 2022
|
