Computer Science
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0368-3249-01
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Fall 2019 |
Lectures | Thursday, 15:00-17:00, Checkpoint 380 |
Requirements | Attendance, final research project on one of the course topics. |
General Information: |
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Week | Date | Speaker | Topic |
1 | 31.10.2019 | Daniel Deutch |
Explainable computation |
2 | 7.11.2019 | Daniel Cohen-or |
Slides: Deep learning for graphics, More Slides Papers: Image Resizing, Learning character agnostic motion, Cross domain deep feature translation |
3 | 14.11.2019 | Ori Lahav |
Weak memory concurrency |
4 | 21.11.2019 | Gil Cohen | Interactive coding: Survey paper, paper 1, paper 2 |
5 | 28.11.2019 | Tomer Koern |
Optimization for Machine and Reinforcement Learning: paper 1, paper 2, paper 3, paper 4 |
6 | 5.12.2019 | Amit Bermano |
Subject |
7 | 12.12.2019 | Meet-up |
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8 | 19.12.2019 | Elhanan Borenstein |
Metagenomics |
9 | 26.11.2020 | Shiri Chechik |
Subject |
10 | 2.1.2020 | Omer Paneth |
Cryptography |
11 | 9.1.2020 | Nadav Cohen |
Theory of deep learning |
12 | 16.1.2020 | Adam Morrison |
Side-channels and speculative execution attacks |
13 | 23.1.2020 | Amir Globerson |
Subject |