Sebastian Kassing

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 8

Top Topics

Machine Learning

Matrix Factorization

Stochastic Gradient Descent

Top Venues

Neural Networks

Publications

Benjamin Gess, Sebastian Kassing, Nimit Rana
Stochastic Modified Flows for Riemannian Stochastic Gradient Descent. CoRR (2024)
Benjamin Gess, Sebastian Kassing, Vitalii Konarovskyi
Stochastic Modified Flows, Mean-Field Limits and Dynamics of Stochastic Gradient Descent. CoRR (2023)
Steffen Dereich, Sebastian Kassing
On the existence of optimal shallow feedforward networks with ReLU activation. CoRR (2023)
Steffen Dereich, Arnulf Jentzen, Sebastian Kassing
On the existence of minimizers in shallow residual ReLU neural network optimization landscapes. CoRR (2023)
Benjamin Gess, Sebastian Kassing
Convergence rates for momentum stochastic gradient descent with noise of machine learning type. CoRR (2023)
Steffen Dereich, Sebastian Kassing
On minimal representations of shallow ReLU networks. Neural Networks 148 (2022)
Steffen Dereich, Sebastian Kassing
On minimal representations of shallow ReLU networks. CoRR (2021)
Steffen Dereich, Sebastian Kassing
Convergence of stochastic gradient descent schemes for Lojasiewicz-landscapes. CoRR (2021)