- markov chain monte carlo Simple implementation/explanation of MCMC using Metropolis Hastings
- unsupervised variational homoencoders Extending variational homoencoders to an unsupervised regime
- associative compression networks Explaining and implementing associative compression networks
- imitating an optimizer Process and framework for imitating and optimizer.
- double pendulum motion Derive the equations of motion for a system of coupled pendulums
- dropout weight reset Accomodate distributional shift with weight reset.
- experiments with dagger How much of a difference does DAGGER make in training?
- huffman coding in rust Learning rust by writing a simple compression algorithm
- backdoor roth IRAs The value of backdoor roth IRAs
- subreddit important terms Collaborative filtering using latent factor models
- backworking strongly classified spurious inputs in CNNs Finding artifacts in convolutional neural networks
- latent factors Collaborative filtering using latent factor models
- lstm text modeling Text generation through neural network language models
- metaclasses A quick tutorial on metaclasses