Predicting covariates: Is it a good idea?
1. Introduction This blog accompanies a paper I wrote on the effect of covariates on LSTM networks for timeseries forecasting, which you can find on arxiv. In business, leading indicators serve a...
Neural Aspect
Teacher Forcing: A look at what it is and the alternatives
1. Introduction In sequence modelling we often use a model that is auto-regressive. That is to say that the output of one time step serves as the input into the next time step. This concept us used...
Human-level control through deep reinforcement learning
Playing Atari with Deep Reinforcement Learning: A Journey into the World of DQN Part 2 This is the second in a series posts where we revisit the landmark papers from DeepMind on Deep Q Learning. I...
Revisiting Playing Atari with Deep Reinforcement Learning
Playing Atari with Deep Reinforcement Learning: A Journey into the World of DQN It’s been over a decade since Mnih et al. published their groundbreaking paper, marking the first successful fusion ...
A discussion about the future of AI in 2024
A discussion with Joshua Harris (Cloudapps) about the future of AI in 2024 The following is a podcast that I recorded with Josh Harris at Cloudapps where we chat about the future of AI in 2024 fol...
A discussion about the history of AI
A discussion with Joshua Harris (Cloudapps) about the history of AI The following is a podcast that I recorded with Josh Harris at Cloudapps where we chat about the history of AI and its relation...