Passed Talks in Joint Analysis Seminar

There weren't any events in the past six months.

Passed Talks in Post Graduate Seminar

12-06-2021, 12:30 PM

Stefan Kunis (Universität Osnabrück):
Super-resolution of points and curves

(Show/Hide Abstract)


11-22-2021, 12:30 PM

Guido F. Montufar (UCLA):
Geometry of Linear Convolutional Networks

(Show/Hide Abstract)


11-15-2021, 12:30 PM

Ekkehard Schnoor (RWTH Aachen University):
Generalization Error Bounds for Iterative Recovery Algorithms Unfolded as Neural Networks

(Show/Hide Abstract)


11-08-2021, 12:30 PM

Afonso S. Bandeira (ETH Zürich):
Noncommutative Matrix Concentration Inequalities

(Show/Hide Abstract)


10-25-2021, 12:30 PM

Noam Razin (Tel Aviv University):
Generalization in Deep Learning Through the Lens of Implicit Rank Minimization

(Show/Hide Abstract)


10-04-2021, 12:30 PM

Jonathan Siegel (Penn State University):
The Approximation Theory of Shallow Neural Networks

(Show/Hide Abstract)


09-27-2021, 12:30 PM

Dominik Stoeger (USC):
Small random initialization is akin to spectral learning: Optimization and generalization guarantees for overparameterized low-rank matrix reconstruction

(Show/Hide Abstract)


09-20-2021, 03:30 PM

Joan Bruna (NYU):
On the role of data structure in learning guarantees

(Show/Hide Abstract)


08-23-2021, 09:00 AM

Yi Ma (UC Berkeley):
White-Box Deep (Convolution) Networks from First Principles

(Show/Hide Abstract)


07-26-2021, 12:30 PM

Gabin Maxime Nguegnang (RWTH Aachen University):
Convergence of Gradient Descent in Learning Deep Liner Neural Network

(Show/Hide Abstract)


07-19-2021, 12:30 PM

Johannes Lederer (Ruhr-University Bochum):
Sparse Deep Learning

(Show/Hide Abstract)


07-12-2021, 12:30 PM

Juan-Pablo Ortega Lahuerta (Nanyang Technological University):
Reservoir Computing and the Learning of Dynamic Processes

(Show/Hide Abstract)


07-05-2021, 12:30 PM

Frederik Hoppe (RWTH Aachen University):
Debiased Lasso: Confidence intervals for the Lasso

(Show/Hide Abstract)


06-28-2021, 12:30 PM

Vicky Kouni (RWTH Aachen University):
Spark Deficient Gabor Frames for Inverse Problems

(Show/Hide Abstract)


06-14-2021, 12:30 PM

Alessandro Rudi (INRIA and École Normale Supérieure):
Finding Global Minima via Kernel Approximations

(Show/Hide Abstract)


06-07-2021, 12:30 PM

Leonardo Galli (RWTH Aachen University):
Robustness and Generalization in Training Deep Neural Networks

(Show/Hide Abstract)


05-10-2021, 12:30 PM

Hung-Hsu Chou (RWTH Aachen University):
Exploration and Exploitation: Understanding Deep Neural Network via Matrix Factorization

(Show/Hide Abstract)


05-03-2021, 12:30 PM

Lénaïc Chizat (Université Paris-Saclay):
Analysis of Gradient Descent on Wide Two-Layer ReLU Neural Networks

(Show/Hide Abstract)


04-15-2021, 04:30 PM

Panayotis Mertikopoulos (Univ. Grenoble Alpes, CNRS):
Games, dynamics, and (min-max) optimization

(Show/Hide Abstract)


04-08-2021, 04:30 PM

Robert Kunsch (RWTH Aachen University):
A new rotation equivariant neural network for 3D point clouds - proof of concept

(Show/Hide Abstract)


04-01-2021, 04:30 PM

Michael Schaub (RWTH Aachen University):
Learning from signals on graphs with unobserved edges

(Show/Hide Abstract)


03-25-2021, 04:30 PM

Yeonjong Shin (Brown University):
Towards a mathematical understanding of modern machine learning: theory, algorithms, and applications

(Show/Hide Abstract)


03-18-2021, 04:30 PM

Marc Goerigk (Uni Siegen):
Robust Optimization with Deep Neural Networks

(Show/Hide Abstract)


03-04-2021, 10:00 AM

Rayan Saab (UCSD):
A greedy algorithm for quantizing neural networks

(Show/Hide Abstract)


02-25-2021, 04:30 PM

Arthur Ulysse Jacot-Guillarmod (EPFL):
Neural Tangent Kernel: Convergence and Generalization of DNNs

(Show/Hide Abstract)


02-18-2021, 04:30 PM

Lukas Gonon (LMU):
Deep ReLU network expression rates for option prices in high-dimensional, exponential Levy models

(Show/Hide Abstract)


02-11-2021, 04:30 PM

Harald Oberhauser (Oxford):
Random Paths, Random Tensors, and some Machine Learning

(Show/Hide Abstract)


02-04-2021, 04:30 PM

Felix Krahmer (TUM):
Sketching with Kerdock's Crayons: Sparse transforms for arbitrary linear maps

(Show/Hide Abstract)


01-21-2021, 04:30 PM

Massimo Fornasier (TUM):
Identification of deep feed forward neural networks

(Show/Hide Abstract)


01-14-2021, 04:30 PM

Youness Boutaib (RWTH Aachen University):
Path classification with continuous-time recurrent neural networks

(Show/Hide Abstract)


12-17-2020, 04:30 PM

Martin Genzel (Utrecht University):
Robust Solutions to (Non-)Linear Inverse Problems: From Compressed Sensing to Deep Learning

(Show/Hide Abstract)


12-03-2020, 04:30 PM

Michael Perlmutter (UCLA):
Understanding Neural Networks via the Scattering Transform

(Show/Hide Abstract)


11-26-2020, 04:30 PM

Soledad Villar (JHU):
Dimensionality reduction, regularization, and generalization in overparameterized regressions

(Show/Hide Abstract)


11-19-2020, 04:30 PM

Romain Couillet (University Grenoble-Alpes):
Can random matrices change the future of machine learning?

(Show/Hide Abstract)


11-05-2020, 04:30 PM

Matthew Hirn (Michigan State University):
Understanding convolutional neural networks through signal processing: From signals to manifolds to graphs

(Show/Hide Abstract)


10-29-2020, 04:30 PM

Leonardo Galli (Global Optimization Laboratory):
A Nonmonotone Line Search Approach to Stochastic Gradient Descent for Over-parametrized Models

(Show/Hide Abstract)


10-22-2020, 04:30 PM

Sjoerd Dirksen (Utrecht University):
Covariance estimation under one-bit quantization

(Show/Hide Abstract)


10-14-2020, 03:00 PM

Nadav Cohen (Tel Aviv University):
Analyzing Optimization and Generalization in Deep Learning via Dynamics of Gradient Descent

(Show/Hide Abstract)


10-08-2020, 04:30 PM

Dustin Mixon (Ohio State University):
Ingredients matter: Quick and easy recipes for estimating clusters, manifolds, and epidemics

(Show/Hide Abstract)


10-01-2020, 04:30 PM

Jannis Kurtz (RWTH Aachen University):
An Integer Programming Approach to Deep Neural Networks with Binary Activation Functions

(Show/Hide Abstract)


09-24-2020, 04:30 PM

Yuege (Gail) Xie (UT Austin):
Weighted Optimization: better generalization by smoother interpolation

(Show/Hide Abstract)


09-15-2020, 04:30 PM

Soon Hoe Lim (KTH Stockholm):
Understanding Recurrent Neural Networks Using Response Theory

(Show/Hide Abstract)


09-10-2020, 04:30 PM

Jan Vybiral (CTU Prague):
Numerical integration and Schur's product theorem

(Show/Hide Abstract)


09-03-2020, 04:30 PM

Felix Voigtländer (Universität Wien):
Approximation theoretic and topological properties of neural networks

(Show/Hide Abstract)


08-27-2020, 04:30 PM

Kathlen Kohn (KTH Stockholm):
The geometry of neural networks

(Show/Hide Abstract)


08-20-2020, 04:30 PM

Bubacarr Bah (AIMS South Africa):
Practical High-Throughput, Non-Adaptive and Noise-Robust SARS-CoV-2 Testing

(Show/Hide Abstract)


08-13-2020, 04:30 PM

Markus Faulhuber (Universität Wien):
Inside the Frame Set

(Show/Hide Abstract)


07-17-2020, 02:00 PM

Robert Kunsch (RWTH Aachen University):
Equivariances in 3D point cloud processing

(Show/Hide Abstract)


07-09-2020, 04:30 PM

Maxime Nguegnang (RWTH Aachen University):
Convergence of Gradient\ Descent in Deep Neural Networks

(Show/Hide Abstract)


07-02-2020, 04:30 PM

Hans Christian Jung (RWTH Aachen University):
BIHT 2: Optimal measurement rates for 1-bit compressive sensing via projected subgradient descent

(Show/Hide Abstract)


06-25-2020, 04:30 PM

Youness Boutaib (RWTH Aachen University):
Introduction to the Mathematical Foundations of Recurrent Neural Networks

(Show/Hide Abstract)


06-19-2020, 04:00 PM

Ekkehard Schnoor (RWTH Aachen University):
Generalization bounds for deep thresholding networks

(Show/Hide Abstract)


06-04-2020, 04:30 PM

Ulrich Terstiege (RWTH Aachen University):
Learning deep linear neural networks: Riemannian gradient flows and convergence to global minimizers

(Show/Hide Abstract)


05-28-2020, 04:30 PM

Johannes Maly (RWTH Aachen University):
Robust Recovery of Low-Rank Matrices with Non-Orthogonal Sparse Decomposition II

(Show/Hide Abstract)


05-14-2020, 04:30 PM

Holger Rauhut (RWTH Aachen University):
Generic Chaining

(Show/Hide Abstract)


05-07-2020, 04:30 PM

Hung-Hsu Chou (RWTH Aachen University):
Implicit Bias of Gradient Descent on Matrix Factorization with Perturbed Initialization

(Show/Hide Abstract)


04-30-2020, 04:30 PM

Thang Huynh (RWTH Aachen University):
Convergence Analysis of The Binary Iterative Hard Thresholding Algorithm

(Show/Hide Abstract)


01-27-2020, 02:30 PM

Maxime Nguegnang (RWTH Aachen University):
Convergence Studies of Gradient\ Descent in Deep Neural Networks

(Show/Hide Abstract)


01-20-2020, 02:30 PM

Ekkehard Schnoor (RWTH Aachen University):
Compressive Sensing and Neural Networks

(Show/Hide Abstract)


01-13-2020, 02:30 PM

Robert Kunsch (RWTH Aachen University):
Breaking the curse of dimensionality for uniform approximation in Hilbert spaces via random linear measurements

(Show/Hide Abstract)


01-06-2020, 02:30 PM

Adeline Fermanian (Sorbonne University):
Learning with signatures

(Show/Hide Abstract)


12-09-2019, 02:30 PM

Hung-Hsu Chou (RWTH Aachen University):
Double Descent and Implicit Bias of Gradient Descent

(Show/Hide Abstract)



© · Valid HTML5 · Valid CSS3