Seminar Calendar
Below is the schedule for final presentations of the talks that will take place as part of the evaluation.
Schedule for final presentations
| S.No. | Date | Presenter | Title | Blog |
|---|---|---|---|---|
| Session-1-1 | 09.01.2023 | Saadet Fatma Baltaci Demir | A Deep Learning Approach to Antibiotic Discovery | DL for Antibiotic Discovery |
| Session-1-2 | 09.01.2023 | Paul Mayer | Sampling equilibrium states of many-body systems with deep learning | Boltzmann Generators |
| Session-2-1 | 16.01.2023 | Vincent Wagner | What time is it? Deep learning approaches for circadian rhythms | What time is it? |
| Session-3-1 | 23.01.2023 | Sinan Özgün Demir | A recurrent neural network based real-time dynamic model for soft continuum manipulators | DL for Soft Continuum Manipulators |
| Session-3-2 | 23.01.2023 | Ewout Devlaminck | Sparse Identification of Nonlinear Dynamics (SINDy) | SINDy - Discovering Equations |
| Session-4-1 | 06.02.2023 | Daniel Frank | Deep equilibrium models | Equilibrium Models for System Identification |
| Session-4-2 | 06.02.2023 | Jasmin Joshi-Thompson | A Long Short-Term Memory Network for Plasma Diagnosis from Langmuir Probe Data | LSTMs for Plasma Diagnosis |
Session 1-1
A Deep Learning Approach to Antibiotic Discovery
General Idea How DL is utilized for discovering antibiotics.
Blog post A Deep Learning Approach to Antibiotic Discovery
Ref. Paper(s) See blog post.
Session 1-2
Sampling equilibrium states of many-body systems with deep learning
General Idea How DL can be used for sampling equilibrium states of many-body systems.
Blog Post Boltzmann-Generatos
Ref. Paper(s) See blog post.
Session 2-1
What time is it? Deep learning approaches for circadian rhythms
General Idea How deep learning can be used for circadian rhythms.
Blog Post What time is it? Deep learning approaches for circadian rhythms
Ref. Paper(s) See blog post.
Session 3-1
A recurrent neural network based real-time dynamic model for soft continuum manipulators
General Idea How RNNs can be used soft manipulations
Blog Post RNN-based Real-Time Dynamic Model for Soft Continuum Manipulators
Ref. Paper(s) See blog post.
Session 3-2
Sparse Identification of Nonlinear Dynamics (SINDy)
General Idea Investigates approaches for how we can use neural networks for symbolic regression given the data.
Blog Post Sparse Identification of Nonlinear Dynamics (SINDy) for Discovering Equations
Ref. Paper(s) See blog post.
Session 4-1
Deep equilibrium models
General Idea Deep Equilibrium Models (DEQ)
Blog Post Deep Equilibrium Models for System Identification
Ref. Paper(s) See blog post.
Session 4-2
A Long Short-Term Memory Network for Plasma Diagnosis from Langmuir Probe Data
General Idea How RNN models are used in nuclear fusion for plasma diagnosis.
Blog Post LSTM Network for Plasma Diagnosis from Langmuir Probe Data
Ref. Paper(s) See blog post.