Machine Learning Street Talk (MLST)

232 Episodes

1. Test-Time Adaptation: the key to reasoning with DL (Mohamed Osman)

   Published: 3/22/2025
2. GSMSymbolic paper - Iman Mirzadeh (Apple)

   Published: 3/19/2025
3. Reasoning, Robustness, and Human Feedback in AI - Max Bartolo (Cohere)

   Published: 3/18/2025
4. Tau Language: The Software Synthesis Future (sponsored)

   Published: 3/12/2025
5. John Palazza - Vice President of Global Sales @ CentML ( sponsored)

   Published: 3/10/2025
6. Transformers Need Glasses! - Federico Barbero

   Published: 3/8/2025
7. Sakana AI - Chris Lu, Robert Tjarko Lange, Cong Lu

   Published: 3/1/2025
8. Clement Bonnet - Can Latent Program Networks Solve Abstract Reasoning?

   Published: 2/19/2025
9. Prof. Jakob Foerster - ImageNet Moment for Reinforcement Learning?

   Published: 2/18/2025
10. Daniel Franzen & Jan Disselhoff - ARC Prize 2024 winners

    Published: 2/12/2025
11. Sepp Hochreiter - LSTM: The Comeback Story?

    Published: 2/12/2025
12. Want to Understand Neural Networks? Think Elastic Origami! - Prof. Randall Balestriero

    Published: 2/8/2025
13. Nicholas Carlini (Google DeepMind)

    Published: 1/25/2025
14. Subbarao Kambhampati - Do o1 models search?

    Published: 1/23/2025
15. How Do AI Models Actually Think? - Laura Ruis

    Published: 1/20/2025
16. Jurgen Schmidhuber on Humans co-existing with AIs

    Published: 1/16/2025
17. Yoshua Bengio - Designing out Agency for Safe AI

    Published: 1/15/2025
18. Francois Chollet - ARC reflections - NeurIPS 2024

    Published: 1/9/2025
19. Jeff Clune - Agent AI Needs Darwin

    Published: 1/4/2025
20. Neel Nanda - Mechanistic Interpretability (Sparse Autoencoders)

    Published: 12/7/2024