Spring 2020

• The article "The variational deficiency bottleneck" got accepted in IJCNN 2020, see here
   
• Pradeep Banerjee is talking on Information-theoretic generalization properties of learning algorithms in our Deep learning seminar, March 2020
   
• Hanna Tseran is talking on Tropical geometry for understanding neural networks in our Deep learning seminar, March 2020
   
• Guido Montúfar is giving a mini-course (5 days) at Spring School on Mathematics of Data, Hanoi, Vietnam, March 2020 (cancelled)

Winter 2020

• Pierre Bréchet is joining as an intern for six months. He is interested in information geometry and generative models.
   
• Tilman Hinnerichs is talking about Maximization of Mutual information for information clustering in our Deep learning seminar, February 2020
   
• Hanna Tseran is talking about Optimization challenges in Deep learning in our Deep learning seminar, February 2020
   
• Guido Montúfar is giving a talk at Deep Learning Seminar, University of Vienna, Austria, February 2020.
   
• Pradeep Banerjee is talking about Causal measures of information in our Deep learning seminar, February 2020
   
• Johannes Mueller is talking about the Expressivity of neural networks in our Deep learning seminar, February 2020
   
• Guido Montúfar is giving a talk at the Mathematics Seminar, KAUST, Thuwal, Saudi Arabia, January 2020
   
• Tilman Hinnerichs is visiting us from TU Dresden. He will be looking at topics of unsupervised learning and information theory.
   
• Guido Montúfar is giving a talk "On the dynamics and convergence of weight normalization training of neural networks", Mathematisches Kolloquium, Bielefeld University, Germany, January 2020.
   
• The article ``Kernelized Wasserstein Natural Gradient'' got accepted in ICLR 2020 (spotlight).
   
• Hanna Tseran and Johannes Mueller are starting their PhD in January 2020.