VIDÉOS DES CONFÉRENCES
- A word from organizers and sponsors
- Dr Radoslaw Martin Cichy (Free University Berlin, Germany) "Deep Neural Networks as Scientific Models"
- Dr Mackenzie Mathis (Harvard University, MA, USA) "Deep Learning Tools for the Measurement of Animal Behavior"
- Dr Timothy Lillicrap (Google DeepMind, London, UK) "Learning Latent Dynamics Models for Planning"
- Dr Blaise Aguera y Arcas (Google AI, WA, USA) "Evolving Neural Nets that Can Learn on their Own"
- Brief student presentations (selected from the submitted abstract)
- Dr Sue Yeon Chung (Columbia University, NY, USA) "Emergence of Separable Geometry in Deep Networks and the Brain"
- Dr Susanne Still (University of Hawaii at M¿noa, HI, USA) "Energy Efficiency and Inference"
- Keynote 2: Dr Yoshua Bengio (Mila & Université de Montréal) "Towards Conscious Deep Learning"
- Panel discussion + Q&A: The future of Neuro-AI "research"
- A word from organizers and sponsors
- Dr Ismail Ben Ayed (École de technologie supérieure, Montreal) "Constrained Deep Networks: Beyond Gradient Descent"
- Dr Richard Naud (University of Ottawa, Canada) "Burstprob: a Mechanistic Theory for the Orchestration of Learning"
- Dr Tony Zador (Cold Spring Harbor Laboratory, NY, USA) "A Critique of Pure Learning"
- Dr Sara Solla (Northwestern University, WA, USA) "Neural manifolds for the stable control of movement"
- Dr Leila Wehbe (Carnegie Mellon University, PA, USA) "Natural Language in Real Brains and Artificial Neural Networks"
- Dr Patricia Conrod (CHU St-Justine, Université de Montréal) "Machine learning and computational modelling of risk for Substance Use Disorders: A multi-cohort, cross-study validation method"
- Panel discussion + Q&A: The future of Neuro-AI "training"
- Keynote 4: Dr Amy Orsborn (University of Washington, WA, USA) "Parsing Sensorimotor Learning and Control with Brain-machine Interfaces"
- Student Prizes + Closing remarks