2022 MSC Theses
- MSC-2022-01
Haviv Cohen (Roy Friedman, Nethanel Gelernter):
Advanced UXSS Analysis
- MSC-2022-02
Eyal Mizrachi (Roy Schwartz):
A Tight Approximation for Submodular Maximization with Mixed Packing and Covering Constraints
- MSC-2022-03
Eitan Kosman (Assaf Schuster, Ilya Kolchinsky):
Complex Pattern Mining
- MSC-2022-04
Neta Dafni (Yuval FIlmus):
Complexity measures on the symmetric group and beyond
- MSC-2022-05
Ido Imanuel (Ron Kimmel):
Neural Algorithms for Precise Shape Completion
- MSC-2022-06
Koral Chapnik (Assaf Schuster, Ilya Kolchinsky):
DARLING: Data-Aware Load Shedding in Complex Event Processing Systems
- MSC-2022-07
Evgenii Zheltonozhskii (Avi Mendelson , Alex Bronstein, Chaim Baskin):
Reducing Supervision in Visual Recognition Tasks
- MSC-2022-08
Dan Kalifa (Kira Radinsky):
Leveraging World Events to Predict E-Commerce Consumer Demand under Anomaly
- MSC-2022-09
Assaf Mauda (Michael Elad):
Poisson Denoising of Images Using Deep Neural Networks Inspired by Classical Dictionary Based Algorithms
- MSC-2022-10
Maor Yankovitch (Assaf Schuster, Ilya Kolchinsky):
HYPERSONIC: A Hybrid Parallelization Approach for Scalable Complex Event Processing
- MSC-2022-11
Sagi Levanon (Nir Rosenfeld):
Generalized Strategic Classification and the Case of Aligned Incentives
- MSC-2022-12
Lior Ben-Yamin (Hadas Shachnai):
Maximizing Throughput in Flow Shop Real-time Scheduling
- MSC-2022-13
Omer Dahary (Alex Bronstein):
Digital Gimbal: End-to-end Deep Image Stabilization with Learnable Exposure Times
- MSC-2022-14
Majd Khalil (Benny Kimelfeld):
The Complexity of the Shapley Value for Path Queries over Graphs
- MSC-2022-15
Boaz Ben-Dov (Roi Reichart):
Predicting the Success of Domain Adaptation, a Casual Model Interpretation Approach
- MSC-2022-16
Adi Mesika (Ayellet Tal):
CloudWalker: 3D Point Cloud Learning by Random Walks for Shape Analysis
- MSC-2022-17
Mohammed Dabbah (Ran El-yaniv):
Using Fictitious Class Representations to Boost Discriminative Zero-Shot Learners
- MSC-2022-18
Elad Nachmias (Eran Yahav):
Hierarchical Code Representations
- MSC-2022-19
Amir Livne (Ron Kimmel, Alex Bronstein):
How to Avoid Depth Reconstruction in 3D Vision Tasks: Do We Need Depth in State-Of-The-Art Face Authentication?
- MSC-2022-20
Nir Diamant (Alexander Bronstein, Ehud Rivlin):
Improving Real-World Data Generation using Adversarial Sim2Real Models
- MSC-2022-21
Guy Shapira (Assaf Schuster):
Unsupervised Frequent Pattern Mining for CEP
- MSC-2022-22
Omer Antverg (Yonatan Belinkov):
Investigating the Importance of Individual Neurons in Language Models
- MSC-2022-23
Alon Dankner (Eli Biham, Sara Bitan):
Attacking and Securing ICS Protocols
- MSC-2022-24
Refael Cohen (Assaf Schuster):
SMEGA2: Distributed Deep Learning Using a Single Momentum Buffer
- MSC-2022-25
Shadi Endrawis (Aviv Tamar):
Efficient Self-Supervised Data Collection for Offline Robot Learning
- MSC-2022-26
Gal Sidi (Assaf Schuster, Ilya Kolchinsky):
DELETE: Using deep learning to minimize latency in CEP systems
- MSC-2022-27
Tom Brand (Eli Ben-Sasson and Yuval Ishai):
Bribery Attack on Nakamoto Consensus Proof of Stake Protocols
PDF files of the technical reports and theses from this year are currently accessible only within the Technion network.
To the main CS technical reports page