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
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