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sander.ai
Slides for my talk at the Deep Learning London meetup - Sander Dieleman
| | studywolf.wordpress.com
Spiking neural networks take control | studywolf

Back in September I had an review article in Science Robotics published, discussing new work from Abadia et al, 2021 titled A cerebellar-based solution to the nondeterministic time delay problem in robotic control. In my review I talk about the parallel's between the brain inspired approach Abadia et al used to create a neural circuit...
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Travel
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| | ojs.aaai.org
Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction | Proceedings of the AAAI Conference on Artificial Intelligence

[AI summary] The article introduces ST-ResNet, a deep learning model designed to predict city-wide crowd flows by analyzing spatio-temporal data and external factors like weather across regions in Beijing and New York City.
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Travel
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| | ajolicoeur.ca
Fashion repeats itself: Generating tabular data via Diffusion and XGBoost - Alexia Jolicoeur-Martineau, Ph.D.

Paper / Code Since AlexNet showed the world the power of deep learning, the field of AI has rapidly switched to almost exclusively focus on deep learning. Some of the main justifications are that 1) neural networks are Universal Function Approximation (UFA, not UFO ?), 2) deep learning generally works the best, and 3) it...
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Travel
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| | blog.ephorie.de
Logistic Regression as the Smallest Possible Neural Network - Learning Machines

[AI summary] The blog post explores the connection between logistic regression and neural networks, demonstrating how logistic regression can be viewed as the simplest form of a neural network through mathematical equivalence and practical examples.
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