2022 PHD Theses
- PHD-2022-01(*)
Alon Stern (Tomer Shlomi):
Methods for inferring compartmentalized fluxes and concentrations in mammalian cells
- PHD-2022-02
Amit Boyarski (Alex Bronstein):
Geometry in Numerical Algorithms
- PHD-2022-03
Yaron Fairstein (Joseph Naor and Danny Raz):
Dynamicity and Multi-Commodity in Networks
- PHD-2022-04
Alona Golts (Michael Elad):
Deep Energy: Task Driven Training of Deep Neural Networks
- PHD-2022-05
David Dovrat (Alfred M. Bruckstein):
An Automata Theory Method for the Analysis of Unicycle Pursuit Problems
- PHD-2022-06
Lev Yohananov (Eitan Yaakobi):
Codes over Graphs
- PHD-2022-07
Idan Schwartz (Tamir Hazan, Alexander Schwing):
Cognitive Models in Deep Learning
- PHD-2022-08
Guy Rosin (Kira Radinsky, Shaul Markovitch):
Incorporating Time into Word Representations
- PHD-2022-09
Dean Leitersdorf (Keren Censor-Hillel):
Fast Distributed Algorithms via Sparsity Awareness
- PHD-2022-10
Ohad Eytan (Roy Friedman):
Access Patterns and Caching Algorithms
- PHD-2022-11
Ido Hakimi (Assaf Schuster):
Distributed Deep Neural Networks
(*) An electronic copy does not exist in this server
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