This page will be filled with more details as the topic talks and project talks are scheduled. Click on the title for more details, including reading assignments, descriptions of homework assignments, etc.
| Date | Topic | Assignment |
| Aug 24 | Intro to Neural Nets | |
| Aug 31 | Backpropagation | Personal ads due. |
| Deep Learning | Homework 1 (COVID-19 Prediction) assigned. | |
| Sep 07 | Reinforcement Learning | |
| Evolutionary Computation | ||
| Sep 14 | Neuroevolution | Homework 1 (DL/Backpropagation) due. |
| Decision Making | Homework 2 (COVID-19 Prescription) assigned. | |
| Sep 21 | Self-Organizing Maps | |
| Computational Neuroscience | ||
| Sep 28 | Brain Organization | Homework 2 (RL/Neuroevolution) due. |
| Cognitive Modeling | Topic talk proposals due. | |
| Oct 05 | Exam | Practice questions; Exam Feedback |
| Oct 12 | Models of Biological Lifelong learning (Logan, Margaret, Marlan) | |
| Computational modeling of the visual system (Jasmeet, PK) | ||
| Oct 19 | Transformer architectures (Shuozhe, Zac) | |
| Diffusion models (Jeremiah, Michael) | ||
| Oct 26 9am | Neurosymbolic systems (Amitayush) | |
| 10:30am | Physics-based neural networks (Christopher, Sebastian) | |
| 1:30pm | Neural architecture search (Jahnavi, Jordan) | |
| Nov 02 | Video understanding (Alex, Carlos) | Project proposals due |
| Neural networks in personalized medicine (Chloe, Cole) | ||
| Nov 09 | Integrating social media data into stock market prediction (Kyle, Marco, Shreya) | |
| Continual reinforcement learning for stock market prediction (Guan, Roberto) | ||
| Nov 16 | Open-ended evolution of behavior (David, Matthew) | |
| Fairness and bias in neural networks (Amit, Nikhil, Priyal) | ||
| Nov 30 | Project talks & Class Evaluation (in person, GDC 6.302) | |
| 9:00 Logan, Margaret, Marlan: Biologically motivated continuous learning | ||
| 9:15 Jasmeet, PK: Robust visual processing with a V1 model | ||
| 9:30 Alex, Carlos: Improving video processing architectures | ||
| 9:45 Shuozhe, Zac: Prediting time series with transformers | ||
| 10:00 Amitayush: Program synthesis from natural language with limited corpora | ||
| 10:15 Coffee break | ||
| 10:30 Jordan, Jahnavi: NAS for diffusion models | ||
| 10:45 Jeremiah, Michael: Font diffusion | ||
| 11:00 Kyle, Marco, Shreya: Stock prediction based on social media sentiment | ||
| 11:15 Guan, Roberto: Continual reinforcement learning for stock market prediction | ||
| 11:30 Lunch break | ||
| 1:30 Chloe, Cole: Categorizing COVID Patients | ||
| 1:45 Chris, Sebastian: Physics-based NN on seismic fullwave inversion | ||
| 2:00 David, Matthew: Co-evolving game agents and environments | ||
| 2:15 Amit, Nikhil, Priyal: De-biasing news articles/Mitigating sensitive attribute leakage | ||
| 2:30 Class Evaluation | ||
| Dec 13 | Project papers due. | |
| 8am CST |