- September 16, 2024
Spring sampling for fast informed search
- March 4, 2024
PhilHumans: Benchmarking Machine Learning for Personal Health
- February 27, 2024
Intensive Care as One Big Sequence Modeling Problem
- February 12, 2024
From next token prediction to next event prediction
- December 15, 2023
Comparison between program synthesis with large language models and model predictive control for buildings optimal operation
- November 8, 2023
Tree Variational Autoencoder for Code
- August 24, 2023
I made a conference calendar so that you don't have to
- June 15, 2023
Post mortem. How I was charged 4000 EUR for downloading 3.5 GB of data from Google Cloud
- May 26, 2023
Taxonomy of Automatic Programming
- May 4, 2023
Factorize your language models
- April 20, 2023
Fully Autonomous Programming with Large Language Models
- May 5, 2022
Deceptive Diversity of Modern RL Methods
- December 15, 2021
Towards Effective Patient Simulators
- December 1, 2021
Programming by Example in Healthcare
- November 16, 2021
Semantic parsing of clinical protocols: a modest proposal
- October 13, 2021
Reinforcement learning as message passing
- October 11, 2021
Anthropodidactic learning: a modest proposal
- October 5, 2021
A build by any other name would smell as sweet
- September 17, 2021
Neurogenetic optimization
- February 8, 2021
Neurogenetic Programming Framework for Explainable Reinforcement Learning
- January 23, 2021
BF++: a language for general-purpose program synthesis
- November 24, 2020
Tutorial: writing a custom OpenAI Gym environment
- February 6, 2020
Active Learning with Deep Pre-trained Models for Sequence Tagging of Clinical and Biomedical Texts
- September 9, 2019
Deep Text Prior: Weakly Supervised Learning for Assertion Classification
- December 17, 2018
The Promise and Perils of Sleeping at Hackathons
- June 17, 2018
The wake-sleep algorithm for unsupervised neural networks
- May 23, 2018
Opening the Black Box of Deep Neural Networks with more information