AMLab Seminar

Weekly talks at AMLab given by internal and external speakers.

2018 — fall

Date,Time,Room,Speaker,Title (Link to abstract)
Sep 12,14:00-15:00,C4.174,Marco Federici, Towards Robust Representations by Exploiting Multiple Data Views
Sep 5,16:00-17:00,C3.163,Wouter van Amsterdam,Controlling for Biasing Signals in Images for Prognostic Models: Survival Predictions for Lung Cancer with Deep Learning

2019 — spring

Date,Time,Room,Speaker,Title (Link to abstract)
June 20,16:00-17:00,C3.163,Karen Ullrich,Differentiable probabilistic models of scientific imaging with the Fourier slice theorem
June 13,-,-,-,No talk
Jun 06,16:00-17:00,C3.163,Wouter Kool,Stochastic Beams and Where to Find Them: The Gumbel-Top-k Trick for Sampling Sequences Without Replacement
May 30,-,-,-,No talk
May 23,-,-,-,No talk
May 16,16:00-17:00,C3.163,Maximilian Ilse,DIVA: Domain Invariant Variational Autoencoder
May 9,16:00-17:00,C3.163,Shi Hu,Supervised Uncertainty Quantification for Segmentation with Multiple Annotations
May 2,16:00-17:00,C3.163,Rodolfo Corona,Perceptual Theory of Mind
Apr 25,-,-,-,No talk
Apr 18,16:00-17:00,C3.163,Anjan Dutta,Towards Practical Sketch-based Image Retrieval
Apr 11,-,-,-,No talk
Mar 28,-,-,-,No talk
Mar 18,15:00-16:00,C3.163,Benjamin Bloem-Reddy,Probabilistic symmetry and invariant neural networks
Mar 14,16:00-17:00,C3.163,Changyong Oh,Combinatorial Bayesian Optimization using Graph Representations
Mar 7,-,-,-,No talk
Feb 28,16:00-17:00,C3.163,Christos Louizos,Learning Exchangeable Distributions
Feb 21,16:00-17:00,C3.163,Thomas Kipf,Compositional Imitation Learning: Explaining and executing one task at a time
Feb 14,16:00-17:00,C3.163,Victor Garcia,GRIN: Graphical Recurrent Inference Networks
Feb 7,-,-,-,No talk
Jan 31,16:00-17:00,C3.163,Emiel Hoogeboom,Emerging Convolutions for Generative Normalizing Flows
Jan 24,-,-,-,No talk
Jan 17,16:00-17:00,C3.163,Herke van Hoof,Learning Selective Coverage Strategies for Surveying and Search
Jan 10,-,-,-,No talk

2018 — fall
Starting in September, the seminar will normally be held on Thursdays instead of Tuesdays.

Date,Time,Room,Speaker,Title (Link to abstract)
Dec 20,-,-,-,No talk
Dec 13,16:00-17:00,C3.163,Tom Claassen,Causal discovery from real-world data: relaxing the faithfulness assumption
Dec 6,-,-,-,No talk (NeurIPS)
Nov 29,16:00-17:00,C3.163,Daniel Worrall,Semigroup Convolutional Neural Networks: Merging Scale-space and Deep Learning
Nov 22,16:00-17:00,C3.163,Maurice Weiler,3D Steerable CNNs
Nov 12,11:00-12:00,C3.163,Peter Orbanz,Statistical models of large graphs and networks
Nov 8,16:00-17:00,C3.163,Wendy Shang,Channel-Recurrent Autoencoding
Nov 1,16:00-17:00,C3.163,Stephan Alaniz,Iterative Binary Decision
Oct 31,16:00-17:00,C3.163,Giorgio Patrini,Sinkhorn AutoEncoders
Oct 25,16:00-17:00,C3.163,Kihyuk Sohn,Deep Domain Adaptation in the Wild
Oct 18,16:00-17:00,C3.163,Shihan Wang,Apply Machine Learning and Data Mining to Promote Physical Activity
Oct 11,16:00-17:00,C3.163,Patrick Forré,Non-linear structural causal models with cycles and latent confounders
Oct 4,16:00-17:00,C3.163,Bela Mulder,Pitting man against machine in the arena of bottom-up design of crystal structures
Sep 27,16:00-17:00,C3.163,Jakub Tomczak,Deep Learning and Bayesian Inference for Medical Imaging
Sep 20,16:00-17:00,C3.163,Patrick van der Smagt,Latent optimal control
Sep 13,-,-,-,No talk (IvI scientific get-together)
Sep 11,15:00-16:00,C0.110,Cédric Archambeau,Learning Representations for Hyperparameter Transfer Learning
Sep 6,16:00-17:00,C3.163,Joris Mooij,Validating Causal Discovery Methods

Archived Talks

Google Calendar

Contact: Daniel Worrall (d[dot]e[dot]worrall[at]uva[dot]nl)