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
- MSC-2022-28
Or Feldman (Avi Mendelson):
Improving Graph Neural Network Expressivity Via Spectral and Combinatorial Pre-Colorings
- MSC-2022-29
Doron Pinsky (Oren Salzman):
T*"epsilon"-Bounded-Suboptimal Efficient Motion-Planning for Minimum-Time Planar Curvature-Constrained Systems
- MSC-2022-30
Nitzan Madar (Oren Salzman):
Leveraging Experience in Lifelong Multi-Agent Pathfinding
- MSC-2022-31
Roman Shapira (Tal Mor):
Quantum candies and quantum cryptography
- MSC-2022-32
Ashraf Yassin (Eli Biham and Amichai Shulman):
Beware of Geeks Bearing Gifts: Attacking Smart Homes
- MSC-2022-33
Amir Amer (Inbal Talgam-Cohen):
Auctions with Interdependence and SOS: Improved Approximation
- MSC-2022-34
Nir Bachrach (Inbal Talgam-Cohen):
Distributional Robustness: From Pricing to Auctions
- MSC-2022-35
Antonio Abu Nassar (Shaull Almagor):
Semantic Symmetry in Transducers
- MSC-2022-36
Roei Kisous (Gala Yadgar):
Clustering Based Data Migration in Deduplicated Storage
- MSC-2022-37
Adam Botach (Alexander Bronstein):
End-to-End Referring Video Object Segmentation with Multimodal Transformers
- MSC-2022-38
Ben Finkelstein (Alexander Bronstein & Chaim Baskin):
Robustness and Rotation Equivariance in Geometric Deep Learning
- MSC-2022-39
Gal Shalom (Irad Yavneh, Eran Treister):
pISTA: preconditioned Iterative Soft Thresholding Algorithm for Graphical LASSO
- MSC-2022-40
Dmitry Kuznichov (Irad Yavneh, Ron Kimmel):
Learning Relaxation for Multigrid
- MSC-2022-41
Dean Zadok (Alon Wolf, Alex Bronstein, Oren Salzman):
Towards Predicting Fine Finger Motions from Ultrasound Images via Kinematic Representation
- MSC-2022-42
Ariel Kolikant (Gala yadgar):
ILP Based Load Balancing in Deduplicated Storage Systems
- MSC-2022-43
Ron Marcovich (Orna Grumberg, Gabi Nakibly):
Protocol Inference from program executable using symbolic execution and automata learning
- MSC-2022-44
Idan Raz (Dan Tsafrir):
Model-Based Simulation for SMT Cores
- MSC-2022-45
Matan Eyn Avi (Gill Barequet):
A New Lower Bound on the Growth Constant of Polycubes in Three Dimensions
- MSC-2022-46
Amani Shhadi (Gill Barequet):
Topology-Controlled Reconstruction from Partial Planar Cross-Sections
- MSC-2022-47
Maxim Barsky (Dan Tsafrir):
PartTLB: Dynamic TLB Partitioning For SMT Processors
- MSC-2022-48
Tomer Voronov (Ori Rottenstreich and Danny Raz):
Scalable Blockchain Anomaly Detection with Sketches
- MSC-2022-49
Ido Rafael (Yuval Emek, Shay Kutten):
Efficient Distributed Construction of Small k-Dominating Sets
- MSC-2022-50
Adi Simhi (Shaul Markovitch):
Interpreting Embedding Spaces by Conceptualization
- MSC-2022-51
Raphael Gad (Assaf Schuster, Ilya Kolchinsky):
Only real friends matter - A clusters based deep learning paradigm for high dimension multivariate forecasting
- MSC-2022-52
Tom Hirshberg (Alex Bronstein):
Sound Source Modeling of Multi-Rotor in Free Space and Indoors Towards Acoustics-Based Indoor Localization
- MSC-2022-53
Roy Benjamin (Kira Radinsky):
Graph Neural Networks Pretraining Through Inherent Supervision for Molecular Property Prediction
- MSC-2022-54
Antoine Vinciguerra (Gill Barequet):
On the Structure of Heilbronn's Configurations
- MSC-2022-55
Roee Mor (Vadim Indelman):
Probabilistic Qualitative Localization and Mapping
- MSC-2022-56
Shai Guendelman (Shaull Almagor):
Concurrent Games With Multiple Topologies
- MSC-2022-57
Shafik Nassar (Ron Rothblum):
Succinct Interactive Oracle Proofs
- MSC-2022-58
Lynore Ackerman Schraier (Alex M. Bronstein and Michael Zibulevsky):
A Machine Learning Exploration of Relations Between Protein Structures and Their Genetic Coding
- MSC-2022-59
Roded Zats (Roy Schwartz):
Fair Correlation Clustering In General Graphs
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