Fridays Journal Club


Date Time Room Article Discussant
Jun 30th 15:00-17:00 C3.163 Deep and Hierarchical Implicit Models  ChangYong Oh
Jun 23th 15:00-17:00 C3.163 Reinforced Variational Inference Karen Ullrich
Jun 9th 15:00-17:00 C3.163 Reinforcement Learning with Unsupervised Auxiliary Tasks Elise van der Pol
Mar 17th 15:00-17:00 C3.163 The More You Know: Using Knowledge Graphs for Image Classification Thomas Kipf
Mar 10th 16:00-17:00 C3.163 Hopfield Networks Karen Ullrich
Mar 3rd 15:00-17:00 C3.163 Understanding Deep Learning requires rethinking generalization ChangYong Oh
Feb 17th 15:00-17:00 C3.163 Why does deep and cheap learning work so well? Rajat Thomas
Feb 3rd 15:00-17:00 C3.163 A Neural Autoregressive Approach to Collaborative Filtering Rianne van de Berg


Date Time Room Article Discussant
Dec 23rd Canceled Canceled
Dec 16th 15:00-17:00 C3.163 Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering & Tutorial on good coding practices Thomas Kipf & Peter O'Connor
Dec 9th Canceled Canceled
Dec 2nd 15:00-17:00 C3.163 TBA & Adversarial Autoencoders Mijung Park & Matthias Reisser
Nov 25th 15:00-17:00 C3.163 Rényi Divergence Variational Inference & Operator Variational Inference Jakub Tomczak & Christos Louizos
Nov 18th 15:00-17:00 C3.163 TBA & ML solutions for Cryo-EM Ted Meeds & Karen Ullrich
Nov 11th 15:00-17:00 C3.163 Influence maximization in stochastic and adversarial settings Po-Ling Loh (University of Wisconsin)
Nov 4th Canceled Canceled
Oct 28th 15:00-17:00 C3.163 Equilibrium Propagation & Exponential expressivity in deep neural networks through transient chaos Max Losch & ChangYong Oh
Oct 21st 15:00-17:00 C3.163 Semantic Parsing with Semi-Supervised Sequential Autoencoders Diego Mareggiani & Peter O'Connor
Oct 14th 15:00-17:00 C3.163 Constructing Summary Statistics for Approximate Bayesian Computation: Semi-automatic ABC & Towards Conceptual Compression Tameem Adel & Patrick Putzky
Sep 30th 15:00-17:00 C3.163 Review of: 2016 Workshop on Human Interpretability in Machine Learning & TBA Mijung Park & Rajat Thomas
Sep 23rd 15:00-16:00 C3.163 Review of some recent ML datasets and open problems Karen Ullrich
Sep 16th 15:00-17:00 C3.163 Decoupled Neural Interfaces Using Synthetic Gradients & Discrete Variational Autoencoders Matthias Reisser & Christos Louizos
Jul 15th 15:00-17:00 C3.163 TBA Peter O'Connor & Sergii Gavrylov
Jul 8th 15:00-17:00 C3.163 From Probabilistic Models to Decision Theory and Back Again Sanmi (Oluwasanmi) Koyejo
Jul 1st 15:00-17:00 C3.163 Learning to Learn by Gradient Descent by Gradient Descent & TBA ChangYong Oh & Karen Ullrich
Jun 24th 15:00-17:00 C3.163 Learning CNNs for Graphs & Towards a Neural Statistician Thomas Kipf & Max Losch
Jun 17th 15:00-17:00 C3.163 Interaction Screening: Efficient and Sample-Optimal Learning of Ising Models Misha Chertkov
Jun 3rd 15:00-17:00 C3.163 TBA & Black-Box Alpha-Divergence Minimisation Taco & Matthias
Jun 3rd 15:00-17:00 C3.163 Programs as Probabilistic Models Brooks Paige