AMLab Seminar

Weekly talks at AMLab given by internal and external speakers.


Date Time Room Speaker Title (Link)
May 29 16:00-17:00 C3.163 Diederik Roijers TBA
May 22 16:00-17:00 C3.163 Taco Cohen The Quite General Theory of Equivariant Convolutional Networks
May 15 16:00-17:00 C3.163 Emiel Hoogeboom G-HexaConv
May 8 - - - No talk
May 1 - - - No talk (ICLR)
Apr 24 16:00-17:00 C3.163 Zeynep Akata Representing and Explaining Novel Concepts with Minimal Supervision
Apr 17 16:00-17:00 C3.163 Tineke Blom Causal Modeling for Dynamical Systems using Generalized Structural Causal Models
Apr 10 16:00-17:00 F1.02 Petar Veličković Keeping our graphs attentive
Apr 9 16:00-17:00 C1.112 Avital Oliver Realistic Evaluation of Semi-Supervised Learning Algorithms
Apr 3 16:00-17:00 C3.163 Karen Ullrich Variational Bayes Wake-Sleep algorithm for expressive latent representations in 3D protein reconstruction
Mar 27 16:00-17:00 C3.163 Wouter Kool Attention Solves Your TSP
Mar 20 16:00-17:00 C3.163 Paul Baireuther Quantum Error Correction with Recurrent Neural Networks
Mar 13 16:00-17:00 C1.112 Max Welling Stochastic Deep Learning
Mar 6 16:00-17:00 C3.163 Thijs van Ommen Accurate and efficient causal discovery
Feb 27 - - - No talk
Feb 20 16:00-17:00 C3.163 Bas Veeling Uncertainty in Deep Neural Networks with Stochastic Quantized Activation Variational Inference
Feb 13 16:00-17:00 C3.163 ChangYong Oh BOCK: Bayesian Optimization with Cylindrical Kernels
Feb 6 - - - No talk
Jan 30 16:00-17:00 C3.163 Jorn Peters Binary Neural Networks: an overview
Jan 26 15:30-16:30 C3.163 Veronika Cheplygina Challenges of multiple instance learning in medical image analysis
Jan 16 16:00-17:00 C3.163 Jakub Tomczak Attention-based Deep Multiple Instance Learning

Archived Talks

Google Calendar

Contact: Thijs van Ommen (M[dot]vanOmmen[at]uva[dot]nl)