Conferences - Seminars

22MAY
  08:30-17:30 BI A0 448

Kujtesë BejtullahuPowerful algorithms, which are capable of learning, are increasingly controlling various aspects of modern society: from social interactions (e.g., Facebook, Twitter, Google, YouTube), economics (e.g., Uber, AirBnB, Banking), learning (e.g., Wikipedia, MOOCs), to governance (Judgements, Policing, Voting). These algorithms have a tremendous potential to change our lives for the better, but, via the ability ... Read more about "Computation and Society Workshop"
By - Anita Auer - University of Lausanne - Kujtesë BejtullahuInternational Risk Governance Center ...
22MAY
  09:30-11:30 BC 329

EDIC candidacy exam Exam president: Prof. Cécile Hebert Thesis advisor: Prof. Pacal Fua Co-examiner: Dr. Graham Knott Abstract Abstract—Dislocations in materials such as crystals carry valuable information which may be incorporated to characterize their topology and interaction mechanisms. Therefore, obtaining accurate reconstruction of the 3D geometry of dislocations is the key step for successfully analyzing ... Read more about "Delineating Dislocations"
By Okan Altingövde
22MAY
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  10:15-11:30 BC 420

By: Luca Trevisan - UC Berkeley Abstract: Spectral clustering algorithms find clusters in a given network by exploiting properties of the eigenvectors of matrices associated with the network. As a first step, one computes a spectral embedding, that is a mapping of nodes to points in a low-dimensional real space; then one uses geometric clustering ... Read more about "IC Talk: A Theory of Spectral Clustering"
22MAY
  11:00-13:00 BC 329

EDIC candidacy exam Exam president: Prof. Wulfram Gerstner Thesis advisor: Prof. Pascal Fua Co-examiner: Dr. Graham Knott Abstract We study the problem of multi-class image segmentation in Electron Microscopy(EM) images with the focus on extracting intricate structures made up of multiple parts. The problem is formulated as a structured prediction task and we review two ... Read more about "Multi-class image segmentation in EM images"
By Pamuditha Udaranga Wickramasinghe
23MAY
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  16:15-17:15 MXF 1

15th NCCR MARVEL Distinguished Lecture Several physical observables of materials have their theoretical root in geometrical properties of the electronic ground state. To start with, I will outline the modern theory of the insulating state, which addresses all kinds of insulators (band, Mott, Anderson...), discriminating them from metals by means of a very simple geometrical ... Read more about "Geometrical observables of the electronic ground state"
By Raffaele Resta (Democritos IOM-CNR, Trieste, Italy)
24MAY
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  17:30-18:45 ETH Zürich, Room HG E 1.1

The Swiss Chapter of the IEEE Aerospace and Electronic Systems (AES-CH) organizes a joint lecture on "Radar signal processing and Radar clutter models". You are all invited to this free event. Do not forget to spare some time for the get-together with refreshments right after the lecture. Read more about "Joint Lecture IEEE AES-CH"
By Dr. Maria Sabina Greco, Professor at the University of Pisa ...
25MAY
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  14:30-15:30 INM 202

Abstract: Imagine there’s no block ciphers, it’s easy if you try:-) A (cryptographic) permutation can be thought of as a block cipher (like AES or DES) without a key (or with a fixed key if you prefer). During the SHA-3 competition it became clear that permutation-based hashing, e.g., by using the sponge construction, is superior ... Read more about "Innovations in permutation-based crypto"
By Prof. Joan Daemen
25MAY
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  15:30-16:30 INM 202

Abstract: For my entire career, I’ve been obsessed with definitions. In this informal talk, I’ll describe the latest two I’ve worked on. The first is called IND|C, indistinguishability up to correctness. Given games G and H and a correctness condition C, we define an advantage measure Adv^indc_{G,H,C} wherein G/H distinguishing attacks are effaced, generically and ... Read more about "Indistinguishability up to Correctness, and Adept Secret-Sharing"
By Prof. Phillip Rogaway
26MAY
27MAY
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  BC Building

EPFL Extension School’s Hands-On Data Workshops offer applied data science skills for every knowledge level. From taking your data skills beyond spreadsheets and into R, to intermediate data analytics with Python, to advanced Deep Learning techniques, you’ll find a workshop that fits your background and learning goals. The Hands-On Data Workshops are a great way ... Read more about "Hands-On Data Workshops"