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Computer Science events calendar in HTTP ICS format for of Google calendars, and for Outlook.
Academic Calendar at Technion site.
- Bioinformatics Forum
- BizTEC Forum
- CGGC Weekly Seminar
- Coding Theory Seminar
- Haifux, Haifa Linux Club
- Pixel Club
- Theory Seminar
Upcoming Colloquia & Seminars
Linear Discriminant Analysis Model Monitoring in Distributed Systems.
- Ran Bernstein, M.Sc. Thesis Seminar
- Sunday, 28.8.2016, 11:00
- Taub 601
- Prof. A. Schuster
Real systems for mining dynamic data streams should be able to detect changes that affect the accuracy of their model. A distributed setting is one of the main challenges in this kind of change detection. In a distributed setting, model training requires centralizing the data from all nodes (hereafter, synchronization), which is very costly in terms of communication. In order to minimize the communication, a monitoring algorithm should be executed locally at each node, while preserving the validity of the global model (the model that will be computed if a synchronization will occur). For minimizing this communication, we propose the first communication-efficient algorithm for monitoring a classification model over distributed, dynamic data streams. The classification algorithm that we chose to monitor is Linear Discriminant Analysis (LDA), which is a popular method used for classification and dimensionality reduction in many fields. This choice was made due to the strong theoretical guarantee of correctness that we prove on the monitoring algorithm of this kind of model. In addition to its theoretical guarantee, we demonstrated how our algorithm and a probabilistic variant of it reduce communication volume by up to two orders of magnitude (compared to synchronization in every round) on three real data sets from different worlds of content. Moreover, our approach monitors the classification model itself as opposed to its misclassifications, which makes it possible to detect the change before the misclassification occurs.
CSpecial Guest Lecture: Efficient large scale parameter estimation with application to Full Waveform Inversion
- Eran Treister (University of British Columbia, Vancouver, Canada)
- Thursday, 1.9.2016, 14:30
- Taub 401
Parameter estimation is performed by fitting data measurements to a model using Bayesian statistics, assuming additional prior information. The estimation requires a numerical solution of a large scale optimization problem, whose objective traditionally includes data fidelity and regularization terms.
In this talk we will concentrate on parameter estimation of physical models, obtained by solving optimization problems that are constrained by partial differential equations (PDEs). We will focus on the 3D Full Waveform Inversion, which arises in seismic exploration of oil and gas reservoirs, earth sub-surface mapping, ultrasound imaging and more. In the context of seismic exploration, FWI is highly computationally challenging: it includes large amounts of data that need to be fit using repeated expensive simulations of wave scatterings, where each of those simulations includes a numerical solution of the Helmholtz equation in several millions of variables. We will demonstrate how to computationally treat this inverse problem, and improve its solution by using travel time tomography in a joint inversion framework. We will present efficient algorithms for the solution of the Helmholtz and eikonal equations (the two associated PDEs). In addition, we will introduce jInv - our parallel open-source inversion package, which is written in Julia and is highly flexible and easy to manage for solving such inverse problems. In particular we will demonstrate how to use the PDE solvers in jInv for the parallel joint inversion using a Gauss Newton algorithm.
Eran Treister is currently a post-doctoral fellow in the Dept of Earth and Ocean Sciences at the University of British Columbia, Vancouver, Canada, and is about to join the Computer Science Dept. at Ben Gurion University of the Negev in Beer Sheba, Israel. He received his Ph.D. degree in Computer Science from the Technion — Israel Institute of Technology, Israel, in 2014. His primary research interest is scientific computing, focusing on multigrid methods, inverse problems, and optimization.
The 5th TCE Summer School on Cyber and Computer Security
- Sunday, 4.9.2016, 09:00
- EE Meyer Building 1003
The 5th TCE Summer School on Cyber and Computer Security will be held on Sunday-Thursday, September 4th-8th, 2016.
Location: Room 1003, Meyer Building (EE), Technion, Haifa. Attendance is free, but registration is required
Topics include innovation and entrepreneurship in big data: from preaching to (effective, efficient and secure) data science practices. The program includes a two days’ workshop by Intel experts, presenting all security technologies integrated into computing solution, including future technologies not yet in the market.
More details and information about TCE. and Registration
Eli Biham (CS, Technion)
Orr Dunkelman (CS, University of Haifa)
George Danezis, University College London
Sharon Goldberg, Boston University
David Naccache, École Normale Supérieure
Kenny Paterson, Royal Holloway, University of London
Intel Technion Executive Seminar: From Small Firms to World Giants
- Wednesday, 23.11.2016, 09:00
- EE Meyer Building 1003
Please see details in the Hebrew page.