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Jun 12, 2022
Counting Consciousnesses
Is it possible that a brain has multiple consciousnesses? What are the moral implications?.
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Nov 20, 2021
About Energy-Based Models
I present the formulation of deep energy-based models.
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Sep 8, 2021
About Variational Autoencoders
I present the formulation of variational autoencoders.
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Feb 10, 2021
A Note on the Dimension of Random Vectors in End-to-End Differentiable Systems
A short argument showing that when optimizing a stochastic differentiable system with SGD, the source of randomness should be of as small a dimension possible.
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Jan 9, 2021
Visualizing Policies of Soft Actor Critic
I show some visualizations of the non-deterministic optimal policies of the SAC reinforcement learning algorithm.
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Feb 7, 2020
A Fresh Perspective of the Bias-Variance Tradeoff
I show how to talk about bias and variance of data (instead of model)
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Nov 8, 2019
Nostalgia Post
Following the first post of the blog, I mention some other things that I did as a teenager, and I'm somewhat proud of.
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Nov 8, 2019
Learning Quantum Dynamics with Feynman's Path Integrals
Through the lens of a deep learning practitioner, the elegant path integral formulation of quantum mechanics looks like a an expectation over trajectories of a reinforcement learning agent.
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Oct 25, 2019
A New Generative Model?
Initial thoughts about a new formalism for generative models.
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Oct 14, 2019
My Failed Attempt to Crack RSA
I describe a hypothetical machine that I came up with years ago, which I thought could help crack RSA (I was very wrong). The machine is based on electric charges moving in a magnetic field.