Fridays Journal Club


Date Time Room Article Discussant
Jun 3rd  15:00-17:00 C3.163 Programs as Probabilistic Models  Brooks Paige
Jun 3rd  15:00-17:00 C3.163 TBA & Black-Box Alpha-Divergence Minimisation Taco & Matthias
Jun 17th  15:00-17:00 C3.163 Interaction Screening: Efficient and Sample-Optimal Learning of Ising Models  Misha Chertkov
Jun 24th  15:00-17:00 C3.163 Learning CNNs for Graphs & Towards a Neural Statistician  Thomas Kipf & Max Losch
Jul 1st  15:00-17:00 C3.163 Learning to Learn by Gradient Descent by Gradient Descent & TBA  ChangYong Oh & Karen Ullrich
Jul 8th  15:00-17:00 C3.163   From Probabilistic Models to Decision Theory and Back Again  Sanmi (Oluwasanmi) Koyejo
Jul 15th  15:00-17:00 C3.163   TBA  Peter O'Connor & Sergii Gavrylov
Sep 16th  15:00-17:00 C3.163   Decoupled Neural Interfaces Using Synthetic Gradients & Discrete Variational Autoencoders  Matthias Reisser & Christos Louizos
Sep 23rd  15:00-16:00 C3.163   Review of some recent ML datasets and open problems   Karen Ullrich
Sep 30th  15:00-17:00 C3.163   Review of: 2016 Workshop on Human Interpretability in Machine Learning & TBA   Mijung Park & Rajat Thomas
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
Oct 21st  15:00-17:00 C3.163   Semantic Parsing with Semi-Supervised Sequential Autoencoders   Diego Marcheggiani & Peter O'Connor
Oct 28th  15:00-17:00 C3.163   Equilibrium Propagation & Exponential expressivity in deep neural networks through transient chaos   Max Losch & ChangYong Oh
Nov 4th  Canceled   –   Canceled
Nov 11th 15:00-17:00 C3.163 Influence maximization in stochastic and adversarial settings Po-Ling Loh (University of Wisconsin)
Nov 18th  15:00-17:00 C3.163   TBA & ML solutions for Cryo-EM   Ted Meeds & Karen Ullrich
Nov 25th  15:00-17:00 C3.163   Rényi Divergence Variational Inference & Operator Variational Inference   Jakub Tomczak & Christos Louizos
Dec 2nd  15:00-17:00 C3.163   TBA & Adversarial Autoencoders  Mijung Park & Matthias Reisser
Dec 9th  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 23rd  Canceled   –   Canceled
Feb 3rd 15:00-17:00 C3.163  A Neural Autoregressive Approach to Collaborative Filtering Rianne van de Berg
Feb 17th 15:00-17:00 C3.163  Why does deep and cheap learning work so well? Rajat Thomas
March 3rd 15:00-17:00 C3.163 Understanding Deep Learning requires rethinking generalization ChangYong Oh
March 10th 16:00-17:00 C3.163 Hopfield Networks Karen Ullrich
March 17th 15:00-17:00 C3.163 The More You Know: Using Knowledge Graphs for Image Classification Thomas Kipf