Talks
Summer semester 2022, Tuesday at 2:00PM, Thursdays at 3:00PM.
| Date | Speaker | Title |
| 28.04.22 | Noam Razin (PhD Student at Tel Aviv University) | Generalization in Deep Learning Through the Lens of Implicit Rank Minimization |
| 5.5.22 | Adalbert Fono (PhD Student at LMU) | Inverse Problems Are Solvable on Real Number Signal Processing Hardware |
| 10.05.22 | Georgios Kaissis (Assistant Professr at TUM) | A unifying view on the Gaussian mechanism for Differential Privacy |
| 17.05.22 | Chirag Varun Shukla (PhD Student at LMU) |
A Survey on Dynamic Graph Embeddings |
| 19.05.22 | Julius Hege (Student Researcher at LMU) |
50% More Fun – Machine Learning in Three Dimensions |
| 24.05.22 | Stefan Kolek (PhD Student at LMU) |
Learning Private Learning |
| 31.05.22 | Laura Thesing (Postdoc at LMU) | TBA |
| 07.06.22 | Monica Michaelis (Scientific Manager at LMU) | TBA |
| 14.06.22 | Philipp Scholl (PhD Stundent at LMU) | TBA |
| 21.06.22 | Hector Andrade Loarca (Postdoc LMU) | TBA |
| 28.06.22 | Sohir Maskey (PhD Student at LMU) | TBA |
| 05.07.22 | Aras Bacho (Postdoc at LMU) | TBA |
| 12.07.22 | Yunseok Lee (PhD Student at LMU) | TBA |
| 19.07.22 | Chirag Varun Shukla (PhD Stundet at LMU) | TBA |
| 26.07.22 | Mariia Seleznova (PhD Stundet at LMU) | TBA |
Winter semester 2021/22, Tuesdays at 2:00PM, Room B052, Thursdays at 3:00PM.
| Date | Speaker | Title |
| 7.10.21 | Laura Thesing | Overview of Research Projects and Interests |
| 19.10.21 | Yunseok Lee | What I do: Inverse Problems and Deep Learning |
| 26.10.21 | Christian Koke | Geometric Scattering Networks |
| 2.11.21 | Sophie Langer (TU Darmstadt) | Deep Learning Meets Statistics: Circumventing the Curse of Dimensionality with Deep Neural Networks |
| 9.11.21 | Stefan Kolek Martinez de Azagra | CartoonX |
| 23.11.21 | Laura Thesing (virtual talk) | Which networks can be learned by an algorithm? – Expressivity meets Turing in Deep Learning |
| 7.12.21 | Adalbert Fono (virtual talk) | Computability and Deep Learning |
| 9.12.21 | Stefan Kolek Martinez de Azagra (virtual talk) | Presentation of ideas from "Quantifying task complexity through generalized information measures" |
| 16.12.21 | Aras Bacho (virtual talk) | A concise introduction to Differential Equations |
| 13.1.22 | Stefan Kolek Martinez de Azagra | Introduction to differential privacy in deep learning |
| 20.1.22 | KU-LMU-TUM Joint Seminar | |
| 25.1.22 | Philipp Scholl | Safe Policy Improvement Approaches on Discrete Markov Decision Processes |
| 1.2.22 | Héctor Andrade Loarca | Deep Shape Reconstruction |
| 3.2.22 | Silas Alberti | How Do Inductive Biases Affect Generalization? A Functional Perspective |
|
4.2.22, 11:30AM |
Simon Heyrowsky |
Learned Reconstruction in Electron Tomography |
| 4.2.22, 12:10PM | Aras Bacho | Presentation of the paper "Fourier Neural Operator for Parametric Partial Differential Equations" |
| 8.2.22 | Chirag Varun Shukla | Rate-Distortion Explanations on Graphs |
| 10.2.22 | Mariia Seleznova | Neural Tangent Kernel Beyond the Infinite-Width Limit: Effects of Depth and Initialization |
| 15.2.22 | Stefan Bamberger | Potential and Limitations of Neural Networks for Recovery of Sparse Signals |
| 24.2.22 |
KU-LMU-TUM Joint Seminar: Adalbert Fono Sohir Maskey |
|
| 8.3.22 | Vit Fojtik | A Constructive Upper Bound on Shallow Network Size |
Summer Semester 2021, Wednesdays at 2:00 p.m.
| Date | Speaker | Title |
| 14.4.21 | Ron Levie | Fast Radio Propagation Prediction with Deep Learning |
| 21.4.21 | Adalbert Fono | A Theoretical and Practical Analysis of Deep Neural Networks emulating Matrix Multiplication |
| 28.4.21 | Sohir Maskey | Transferability of Graph Neural Networks - A Generalized Graphon Approach |
| 5.5.21 | Hector Andrade Loarca | Semantic Edge Detection with Applied Harmonic Analysis and Deep Neural Networks |
| 12.5.21 | Chirag Varun Shukla | A Brief Overview of Explainability Techniques for Graph Neural Networks |
| 19.5.21 | Stefan Kolek Martinez De Azagra | Disentangled Representations for Explainable AI |
| 26.5.21 | Matt J. Colbrook | Can stable and accurate neural networks be computed? On the barriers of deep learning and Smale's 18th problem |
| 2.6.21 | Duc Anh Nguyen | Neural Collapse with Cross-Entropy Loss |
| 16.6.21 | Aleksandar Bojchevski | Trustworthy Machine Learning for Graphs with Guarantees |
| 22.6.21 | Philipp Scholl | Evaluation of Safe Policy Improvement with Soft Baseline Bootstrapping |
| 7.7.21 | Mariia Seleznova | Analyzing Finite Neural Networks: Can We Trust Neural Tangent Kernel Theory |
| 14.7.21 | Ron Levie | Reducing the Complexity of Wavelet-Based Signal Processing with a Wavelet Plancherel Theory |
| Kerstin Hammernik |
Summer Semester 2021, Colloquium of Mathematics at LMU:
| Date | Speaker | Title |
| 24.06.2021 | Philipp Grohs | Deep Learning in Numerical Analysis |