# Computer science 3,407 courses and talks. - [Event Generation and Statistical Sampling with Deep Generative Models](https://invisiblenetwork.ai/learn/cern/3012093): Sydney Otten · CERN - [NeuralRinger: An Ensemble of Neural Networks Fed from Calorimeter Ring Sums for Triggering on Electrons](https://invisiblenetwork.ai/learn/cern/3009315): Werner Spolidoro Freund · CERN - [DijetGAN: A Generative-Adversarial Network Approach for the Simulation of QCD Dijet Events at the LHC](https://invisiblenetwork.ai/learn/cern/3016421): Serena Palazzo · CERN - [GroomRL: jet grooming through reinforcement learning](https://invisiblenetwork.ai/learn/cern/3009314): Frederic Alexandre Dreyer · CERN - [Learning representations of irregular particle-detector geometry with distance-weighted graph networks](https://invisiblenetwork.ai/learn/cern/3006297): Jan Kieseler · CERN - [Decoding Physics Information in DNNs](https://invisiblenetwork.ai/learn/cern/3016892): Taoli Cheng · CERN - [Uncertain Networks](https://invisiblenetwork.ai/learn/cern/3008988): Jennifer Thompson · CERN - [Machine Learning for Likelihood Free Inference](https://invisiblenetwork.ai/learn/cern/3019272): Luc Tomas Le Pottier · CERN - [The information theory of Deep Learning](https://invisiblenetwork.ai/learn/cern/3008996): Naftali Tishby · CERN - [Neural networks for the abstraction of the physical symmetries in the nature](https://invisiblenetwork.ai/learn/cern/3012035): Wonsang Cho · CERN - [Exploring SMEFT in VH channel with Machine Learning](https://invisiblenetwork.ai/learn/cern/3009103): Charanjit Kaur Khosa · CERN - [Machine Learning Uncertainties with Adversarial Neural Networks](https://invisiblenetwork.ai/learn/cern/3016875): Peter Galler · CERN - [Containers for Machine Learning in HEP](https://invisiblenetwork.ai/learn/cern/3012033): Matthew Feickert · CERN - [The Tracking Machine Learning challenge](https://invisiblenetwork.ai/learn/cern/3008990): David Rousseau · CERN - [Novelty Detection Meets Collider Physics](https://invisiblenetwork.ai/learn/cern/3008995): Ying-Ying Li · CERN - [Learning Invariant Representations using Mutual Information Regularization](https://invisiblenetwork.ai/learn/cern/3016933): Justin Tan · CERN - [Tracking at Hadron Colliders with Machine Learning](https://invisiblenetwork.ai/learn/cern/3009379): Jean-Roch Vlimant · CERN - [Scalable Deep Learning with Apache MXNet](https://invisiblenetwork.ai/learn/cern/3008381): Nathalie Rauschmayr · CERN - [Effective Fuzzing: From Noise to SIGSEGV](https://invisiblenetwork.ai/learn/cern/3010014): Shawn Denbow · CERN - [Efficient C++ implementation of custom FEM kernel with Eigen](https://invisiblenetwork.ai/learn/cern/3006165): Mikhail Sizov · CERN - [How container orchestration can strengthen your micro-services: the approach of Kubernetes (lecture)](https://invisiblenetwork.ai/learn/cern/3006646): Riccardo Poggi · CERN - [Big Data Technologies and Physics Analysis with Apache Spark (lecture 1)](https://invisiblenetwork.ai/learn/cern/3006488): Evangelos Motesnitsalis · CERN - [Tensor Networks - Introduction and Matrix Product States (lecture 1)](https://invisiblenetwork.ai/learn/cern/3006489): Patrick Emonts · CERN - [Big Data Technologies and Physics Analysis with Apache Spark (lecture 2)](https://invisiblenetwork.ai/learn/cern/3006487): Evangelos Motesnitsalis · CERN - [Tensor Networks - The iTEBD Algorithm (lecture 2)](https://invisiblenetwork.ai/learn/cern/3006070): Patrick Emonts · CERN - [Hardware Acceleration Through FPGAs - Basics of VHDL (lecture 2)](https://invisiblenetwork.ai/learn/cern/3006490): Giorgio Lopez · CERN - [Hardware Acceleration Through FPGAs - Basic Concepts (lecture 1)](https://invisiblenetwork.ai/learn/cern/3013463): Giorgio Lopez · CERN - [A Scientist's Guide to FPGAs](https://invisiblenetwork.ai/learn/cern/3006140): Alexander Ruede · CERN - [A word from the IT Department Head](https://invisiblenetwork.ai/learn/cern/3001593): Frederic Hemmer · CERN - [Global track finding algorithms](https://invisiblenetwork.ai/learn/cern/3006072): Dmitry Neverov · CERN - [A practical approach to Convolutional Neural Networks (lecture)](https://invisiblenetwork.ai/learn/cern/3006494): Daniel Hugo Campora Perez · CERN - [Introduction to the Inverted CSC](https://invisiblenetwork.ai/learn/cern/3006495): Sebastian Lopienski · CERN - [Machine learning applications in Gravitational Wave research to classify transient signals](https://invisiblenetwork.ai/learn/cern/3002551): Elena Cuoco · CERN - [Learning more about the ingredients of cloud applications](https://invisiblenetwork.ai/learn/cern/3003048): Josef Spillner · CERN - [EOS XDC Developments](https://invisiblenetwork.ai/learn/cern/3009393): Mihai Patrascoiu · CERN - [Beyond X.509: token-based AuthN & AuthZ for HEP](https://invisiblenetwork.ai/learn/cern/3003807): Andrea Ceccanti · CERN - [CERN Tape Archive: update on continuous integration](https://invisiblenetwork.ai/learn/cern/3001854): Julien Leduc · CERN - [EOS using docker and expirience](https://invisiblenetwork.ai/learn/cern/3006285): Martin Vala · CERN - [EOS Testing Service development: leveraging CI + Kubernetes](https://invisiblenetwork.ai/learn/cern/3002531): Fabio Luchetti · CERN - [Status report of eosxd as EOS filesystem interface](https://invisiblenetwork.ai/learn/cern/3001931): Andreas Joachim Peters · CERN - [XRootD - Releases, Status & Planning 2019](https://invisiblenetwork.ai/learn/cern/3006683): Michal Kamil Simon · CERN - [EOS as storage back-end for JRC scientific data processing](https://invisiblenetwork.ai/learn/cern/3019400): Armin Burger · CERN - [New namespace in production: An overview, and future plans](https://invisiblenetwork.ai/learn/cern/3005679): Georgios Bitzes · CERN - [EOSHOME Backup Prototype using restic](https://invisiblenetwork.ai/learn/cern/3019132): Roberto Valverde Cameselle · CERN - [EOSOps @ CERN](https://invisiblenetwork.ai/learn/cern/3001842): Herve Rousseau and Cristian Contescu · CERN - [EOS at RO-03-UPB](https://invisiblenetwork.ai/learn/cern/3005462): Mihai Carabas · CERN - [CERNBox: EOS Powered CS3 Platform](https://invisiblenetwork.ai/learn/cern/3002668): Hugo Gonzalez Labrador · CERN - [Migration from EOSUSER to EOSHOME](https://invisiblenetwork.ai/learn/cern/3001895): Luca Mascetti · CERN [Next page](https://invisiblenetwork.ai/learn/browse?subject=computing&page=44)