![]() | Thomas Allard
Research Assistant |
Address
ETH Zürich
Chair for Mathematical Information Science
Sternwartstr. 7
CH-8092 Zürich
Switzerland
Room: ETF E 118
Tel.: +41 44 632 45 76
Email: tallard (add )
Supervised Theses
- Diploma Theses
- Häberle, Konstantin, "Learning Rate Scheduling for Stochastic Gradient Descent," Spring semester 2021
Supervisor(s): Thomas Allard
- Häberle, Konstantin, "Learning Rate Scheduling for Stochastic Gradient Descent," Spring semester 2021
- Student Projects
- Waber, Jivan, "Metric Entropy of Pseudodifferential Operators," Fall semester 2022
Supervisor(s): Thomas Allard - Druenne, Hugo, "Approximation of Dynamical Systems by Recurrent Neural Networks," Spring semester 2022
Supervisor(s): Thomas Allard - Tombak, Güney , "Noise in Stochastic Gradient Descent with respect to Expected Loss," Fall semester 2021
Supervisor(s): Thomas Allard - Ayari, Rayen, "On the News Categorization," Fall semester 2021
Supervisor(s): Thomas Allard - Häberle, Konstantin, "Random Perturbations Theory for Stochastic Gradient Descent," Spring semester 2020
Supervisor(s): Thomas Allard - Clarysse, Jacob, "On Parameters of the Expressivity of Neural Networks," Spring semester 2020
Supervisor(s): Thomas Allard
- Waber, Jivan, "Metric Entropy of Pseudodifferential Operators," Fall semester 2022
- Bachelor Theses
- Lahmann, Pablo, "Stability of Simple Neural Network Architectures," Fall semester 2021
Supervisor(s): Thomas Allard - Iliadis, Afroditi, "SGD Learns Over-parametrized Networks that Provably Generalize on Linearly Separable Data," Spring semester 2021
Supervisor(s): Thomas Allard
- Lahmann, Pablo, "Stability of Simple Neural Network Architectures," Fall semester 2021
- Group Projects
- Iliadis, Afroditi; Heidtmann, Isabel, "Optimization and Regularization Methods for Neural Networks: A Literature Review," Fall semester 2020
Supervisor(s): Thomas Allard
- Iliadis, Afroditi; Heidtmann, Isabel, "Optimization and Regularization Methods for Neural Networks: A Literature Review," Fall semester 2020