הטכניון מכון טכנולוגי לישראלהטכניון מכון טכנולוגי לישראל - בית הספר ללימודי מוסמכים
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הודעות

יום פתוח לתארים מתקדמים בפסיכולוגיה וכלכלה התנהגותית - 16.3.2018- יתקיים בתל אביב

 

יום פתוח לתארים מתקדמים בהנדסה כימית - 25.1.2018

 

יום מחקר למשתלמים ע"ש ג'ייקובס. בניין צ'רצ'יל - 10.1.2018 בין השעות 12:30-14:30

 

בית הספר לתארים מתקדמים מברך את 849 מקבלי תואר מגיסטר במחזור 2017. טקס הענקת התעודות יתקיים ב-5.6.2017 - באמפי ע"ש קלנר בשעה 18:30. הכניסה לבעלי הזמנות.

 

בית הספר לתארים מתקדמים מברך את 243 מקבלי תואר דוקטור (PhD) במחזור 2017. טקס הענקת התעודות יתקיים ב-29.5.2017 - באמפי ע"ש קלנר בשעה 18:30. הכניסה לבעלי הזמנות.

 

 





 
Ph.D and MS.c Theses, since 1988.


Advisor PROF. Ron Meir
Advisor's Email rmeir@ee.technion.ac.il
Advisor's Home-Site www
No of theses 54
Department Electrical and Computer Engineering
Department Web Site ece.technion.ac.il/?lang=he


No. Student's Name Graduation
Year		 Degree Abstracts ResearchName
1 Peleg Amit 2022 MSc Abstracts Meta Learning in Linear Bandits
2 Peer Oren 2022 MSc Abstracts Using Ensembles for Reducing the Estimation Bias in Q-Learning Algorithms
3 Shimkin Izchak 2022 MSc Abstracts Exploration in Model-Based Reinforcement Learning with Stochastic Dynamics
4 Silbak Jumana 2021 MSc Abstracts Geometric Analysis of the Dynamic Connectivity of Biological and Artifical Neural Networks
5 Linial Ori 2020 MSc Abstracts Generative ODE Modeling with Known Unknowns
6 Raveh Or 2020 MSc Abstracts Learning and Communication in a Multi-Agent Setup
7 Epstein Baruch 2020 PhD Abstracts Learning and Prior Knowledge about Structure: Theroy and Applications
8 Avinu Maya 2019 MSc Abstracts Analyzing Neuronal Signals using Geometric Methods
9 Harosh Omri 2019 MSc Abstracts Exploration in Continuous Domains using Pseudo-Counts
10 Arad Eran 2019 MSc Abstracts Comparative Research of Algorithms for the Contextual Bandits Problem
11 Harel Yuval 2019 PhD Abstracts Optimal Encoding of Dynamic Stimuli in Sensory Neural Populations
12 Abassi Ahmad Zaid 2018 MSc Abstracts Lower-Dimensional Representation: Compression, Faithfulness and Relevance
13 Eizner Yehoshua 2018 MSc Abstracts Reinforcement Learning as an Organizing Principle for Biological Navigation
14 Hazan Alon 2017 MSc Abstracts Learning an Attention Model Artificial in an Visual System
15 Yaacoby Eyal 2017 MSc Abstracts Efficient Exploration for the Bandit Multiclass Problem
16 Horon Reuven 2016 MSc Abstracts Reverse Engineering of Recurrent Neural Networks - 3 test cases
17 Dordek Yedidyah 2015 MSc Abstracts From Place-Cells to Grid-cells: A Trip between Dimensions
18 Katz Shahar 2015 MSc Abstracts A Bayesian View of Spontaneous Neural Activity as an Internal Representation of the Environment - a Neural Network Model
19 Even-Chen Nir 2014 MSc Abstracts Intrinsic Modeling of Repetitive Time Series with Applicarion for Analysis of Event-Related Potentials
20 Zananiri Rani 2013 MSc Abstracts Optimal Encoding in Sensory Systems
21 Soudry Daniel 2013 PhD Abstracts Neurons: from Biophysics to Functionality
22 Trainin Ehud 2012 PhD Abstracts The Joint Action of Biomechanical and Neural Control in Determining Motor Behavior: A Computational Study
23 Wallach Avner 2012 PhD Abstracts The Response Clamp: A Control Based Approach for the Study of Neural Systems; Method and Applications
24 Tamar Aviv 2011 MSc Abstracts Integrating Partial Model Knowledge in Model Free RL Algorithms
25 Di Castro Dotan 2011 PhD Abstracts Aspects of Actor Critic Learning: Theory and Experiments
26 Yaeli Eran Steve 2010 MSc Abstracts Optimal Neural Encoding - Mathematical Foundations and Biological Implications
27 Avner Orly 2010 MSc Abstracts Spike Train Decoding of Analog Signals with a Biologically Inspired Encoding Scheme
28 Shimron Efrat 2009 MSc Abstracts A Model for "What" and "Where" Information in the Cortex
29 Litichever Gil 2009 MSc Abstracts Multi Model Bayesian Reinforcement Learning
30 Volkinshtein Dmitry 2009 MSc Abstracts On the Existence and Feasibility of a Forward Model in Motor Control
31 Kanter Ayelet 2008 MSc Abstracts The Impact of Synaptic Depression on Up-Down States in Neural Networks :Dynamical Systems' Persprctive
32 Bobrowski Omer 2008 MSc Abstracts Real Time Spike Train Decoding by Neural Networks
33 Peleg Dori 2008 PhD Abstracts Effective Optimization Procedures for Machine Learning Based on Data-Dependent Error Bounds
34 Di Castro Dotan 2007 MSc Abstracts Population Behavior of Neuronal Networks
35 Aizenshtark Boaz 2007 MSc Abstracts On the Performance of Echo State Networks
36 Baras Dorit 2006 MSc Abstracts Direct Policy Search in Reinforcement Learning and Synaptic Plasticity in Biological Neural Networks
37 Zingman Igor 2006 MSc Abstracts Analysis and Classification of Tissue Section Images
38 Desyatnikov Ilya 2005 MSc Abstracts Error Correcting Codes and Performance Bounds for Multi- Category Classification
39 Lebanony Eyal 2005 MSc Abstracts Time Series Modeling using Bayesian Networks
40 Benjo Shimon 2004 MSc Abstracts Performance Analysis for Mixture Classifiers using Local Methods
41 Azran Arik 2004 MSc Abstracts Data Dependent Risk Bounds and Algorithms for Hierarchical Mixture of Experts Classifiers
42 Leifman George 2003 MSc Abstracts Determining the Similarity of Three-Dimensional Objects using Relevance Feedback
43 Rudyk Eduard 2003 MSc Abstracts On Role of Recurrent Inhibition in Low-Level Motor Control
44 Kisler Rachel 2003 MSc Abstracts Spatial-Spectral Sampling Technique for Color Images
45 Sandhaus Haggit 2003 MSc Abstracts Locating Activity Regions in the Brain Using Methods of Source Separation
46 Weltsch-Cohen Yariv 2002 MSc Abstracts AGC Models for Signal Processing in the Primary Visual Cortex
47 Guttman Omri 2001 MSc Classification Using Projections onto a Single Dimension
48 Karniel Amir 2000 PhD Learning Motor Control of Redundant Systems
49 Ben David Shay 1999 MSc Time Series Modeling Using Mixtures of Experts
50 Bar-Sella Ran 1997 MSc Aspects of Finite Codebook Vector Quantizer Design Assessment
51 Michlin Maria 1996 MSc Recognition of Handwritten Digits Via Neural Networks
52 Pisarevski Felix 1996 MSc Comparative Study on Non Linear Time Series Prediction Methods
53 Zeevi Assaf 1996 MSc Mixture Based Functional Estimation
54 Wirsansky Eyal 1996 MSc Creating Modular Neural Networks Using Genetic Algorithms

Last updated on: Sunday ,November 27, 2022
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