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56,966 blogs · [ { "id": "01a08c5b-66b0-7070-8ae5-2d47c695534f", "title": "Spring sampling for fast informed search", "url": "https://vadim.me/publications/spring/", "published_at": "2024-09-16T00:00:00+00:00" }, { "id": "01a08c5b-66b0-7070-8ae5-2d47c69de1c6", "title": "PhilHumans: Benchmarking Machine Learning for Personal Health", "url": "https://vadim.me/publications/philhumans/", "published_at": "2024-03-04T00:00:00+00:00" }, { "id": "01a08c5b-66b0-7070-8ae5-2d47c6cc0e85", "title": "Intensive Care as One Big Sequence Modeling Problem", "url": "https://vadim.me/publications/mimicseq/", "published_at": "2024-02-27T00:00:00+00:00" }, { "id": "01a08c5b-66b0-7070-8ae5-2d47c6e26efb", "title": "From next token prediction to next event prediction", "url": "https://vadim.me/publications/predict/", "published_at": "2024-02-12T00:00:00+00:00" }, { "id": "01a08c5b-66b0-7070-8ae5-2d47c700d25b", "title": "Comparison between program synthesis with large language models and model predictive control for buildings optimal operation", "url": "https://vadim.me/publications/boptest/", "published_at": "2023-12-15T00:00:00+00:00" }, { "id": "01a08c5b-66b0-7070-8ae5-2d47c741f8db", "title": "Tree Variational Autoencoder for Code", "url": "https://vadim.me/publications/autoencoders/", "published_at": "2023-11-08T00:00:00+00:00" }, { "id": "01a08c5b-66b0-7070-8ae5-2d47c7f66aed", "title": "I made a conference calendar so that you don't have to", "url": "https://vadim.me/publications/calendar/", "published_at": "2023-08-24T00:00:00+00:00" }, { "id": "01a08c5b-66b0-7070-8ae5-2d47c8555659", "title": "Post mortem. How I was charged 4000 EUR for downloading 3.5 GB of data from Google Cloud", "url": "https://vadim.me/publications/gcloudcondom/", "published_at": "2023-06-15T00:00:00+00:00" }, { "id": "01a08c5b-66b0-7070-8ae5-2d47c8feba6a", "title": "Taxonomy of Automatic Programming", "url": "https://vadim.me/publications/taxonomy/", "published_at": "2023-05-26T00:00:00+00:00" }, { "id": "01a08c5b-66b0-7070-8ae5-2d47c9f79dad", "title": "Factorize your language models", "url": "https://vadim.me/publications/factorize/", "published_at": "2023-05-04T00:00:00+00:00" }, { "id": "01a08c5b-66b0-7070-8ae5-2d47cac7a679", "title": "Fully Autonomous Programming with Large Language Models", "url": "https://vadim.me/publications/seidr/", "published_at": "2023-04-20T00:00:00+00:00" }, { "id": "01a08c5b-66b0-7070-8ae5-2d47caed0522", "title": "Eindhoven Reinforcement Learning Seminar", "url": "https://vadim.me/publications/einreise/", "published_at": "2022-06-27T00:00:00+00:00" }, { "id": "01a08c5b-66b0-7070-8ae5-2d47cb859997", "title": "Deceptive Diversity of Modern RL Methods", "url": "https://vadim.me/publications/rl/", "published_at": "2022-05-05T00:00:00+00:00" }, { "id": "01a08c5b-66b0-7070-8ae5-2d47cbf2a305", "title": "Towards Effective Patient Simulators", "url": "https://vadim.me/publications/simulators/", "published_at": "2021-12-15T00:00:00+00:00" }, { "id": "01a08c5b-66b0-7070-8ae5-2d47ccb2c97b", "title": "Programming by Example in Healthcare", "url": "https://vadim.me/publications/patparsing/", "published_at": "2021-12-01T00:00:00+00:00" }, { "id": "01a08c5b-66b0-7070-8ae5-2d47cd6885dd", "title": "Semantic parsing of clinical protocols: a modest proposal", "url": "https://vadim.me/publications/semparsing/", "published_at": "2021-11-16T00:00:00+00:00" }, { "id": "01a08c5b-66b0-7070-8ae5-2d47ce5bf700", "title": "Reinforcement learning as message passing", "url": "https://vadim.me/publications/mpdp/", "published_at": "2021-10-13T00:00:00+00:00" }, { "id": "01a08c5b-66b0-7070-8ae5-2d47cf414a9c", "title": "Anthropodidactic learning: a modest proposal", "url": "https://vadim.me/publications/anthropodidactic/", "published_at": "2021-10-11T00:00:00+00:00" }, { "id": "01a08c5b-66b0-7070-8ae5-2d47cf88952c", "title": "A build by any other name would smell as sweet", "url": "https://vadim.me/publications/build/", "published_at": "2021-10-05T00:00:00+00:00" }, { "id": "01a08c5b-66b0-7070-8ae5-2d47d03a57e8", "title": "Neurogenetic optimization", "url": "https://vadim.me/publications/neurogenetic/", "published_at": "2021-09-17T00:00:00+00:00" }, { "id": "01a08c5b-66b0-7070-8ae5-2d47d0f8d07e", "title": "Neurogenetic Programming Framework for Explainable Reinforcement Learning", "url": "https://vadim.me/publications/neurogenprog/", "published_at": "2021-02-08T00:00:00+00:00" }, { "id": "01a08c5b-66b0-7070-8ae5-2d47d135f0d8", "title": "BF++: a language for general-purpose program synthesis", "url": "https://vadim.me/publications/bfpp/", "published_at": "2021-01-23T00:00:00+00:00" }, { "id": "01a08c5b-66b0-7070-8ae5-2d47d1b0955e", "title": "Tutorial: writing a custom OpenAI Gym environment", "url": "https://vadim.me/publications/heartpole/", "published_at": "2020-11-24T00:00:00+00:00" }, { "id": "01a08c5b-66b0-7070-8ae5-2d47d24cdfbc", "title": "Active Learning with Deep Pre-trained Models for Sequence Tagging of Clinical and Biomedical Texts", "url": "https://vadim.me/publications/bioseqtagging/", "published_at": "2020-02-06T00:00:00+00:00" }, { "id": "01a08c5b-66b0-7070-8ae5-2d47d2e3db5b", "title": "Deep Text Prior: Weakly Supervised Learning for Assertion Classification", "url": "https://vadim.me/publications/textprior/", "published_at": "2019-09-09T00:00:00+00:00" }, { "id": "01a08c5b-66b0-7070-8ae5-2d47d3055179", "title": "The Promise and Perils of Sleeping at Hackathons", "url": "https://vadim.me/publications/hackathons/", "published_at": "2018-12-17T00:00:00+00:00" }, { "id": "01a08c5b-66b0-7070-8ae5-2d47d3d78bf2", "title": "The wake-sleep algorithm for unsupervised neural networks", "url": "https://vadim.me/publications/wakesleep/", "published_at": "2018-06-17T00:00:00+00:00" }, { "id": "01a08c5b-66b0-7070-8ae5-2d47d4315e98", "title": "Opening the Black Box of Deep Neural Networks with more information", "url": "https://vadim.me/publications/blackbox/", "published_at": "2018-05-23T00:00:00+00:00" } ] posts Claim your blog
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vadim.me

2024

Spring sampling for fast informed searchoriginal ↗
16 Sept 2024
PhilHumans: Benchmarking Machine Learning for Personal Healthoriginal ↗
4 Mar 2024
Intensive Care as One Big Sequence Modeling Problemoriginal ↗
27 Feb 2024
From next token prediction to next event predictionoriginal ↗
12 Feb 2024

2023

Comparison between program synthesis with large language models and model predictive control for buildings optimal operationoriginal ↗
15 Dec 2023
Tree Variational Autoencoder for Codeoriginal ↗
8 Nov 2023
I made a conference calendar so that you don't have tooriginal ↗
24 Aug 2023
Post mortem. How I was charged 4000 EUR for downloading 3.5 GB of data from Google Cloudoriginal ↗
15 Jun 2023
Taxonomy of Automatic Programmingoriginal ↗
26 May 2023
Factorize your language modelsoriginal ↗
4 May 2023
Fully Autonomous Programming with Large Language Modelsoriginal ↗
20 Apr 2023

2022

Eindhoven Reinforcement Learning Seminaroriginal ↗
27 Jun 2022
Deceptive Diversity of Modern RL Methodsoriginal ↗
5 May 2022

2021

Towards Effective Patient Simulatorsoriginal ↗
15 Dec 2021
Programming by Example in Healthcareoriginal ↗
1 Dec 2021
Semantic parsing of clinical protocols: a modest proposaloriginal ↗
16 Nov 2021
Reinforcement learning as message passingoriginal ↗
13 Oct 2021
Anthropodidactic learning: a modest proposaloriginal ↗
11 Oct 2021
A build by any other name would smell as sweetoriginal ↗
5 Oct 2021
Neurogenetic optimizationoriginal ↗
17 Sept 2021
Neurogenetic Programming Framework for Explainable Reinforcement Learningoriginal ↗
8 Feb 2021
BF++: a language for general-purpose program synthesisoriginal ↗
23 Jan 2021

2020

Tutorial: writing a custom OpenAI Gym environmentoriginal ↗
24 Nov 2020
Active Learning with Deep Pre-trained Models for Sequence Tagging of Clinical and Biomedical Textsoriginal ↗
6 Feb 2020

2019

Deep Text Prior: Weakly Supervised Learning for Assertion Classificationoriginal ↗
9 Sept 2019

2018

The Promise and Perils of Sleeping at Hackathonsoriginal ↗
17 Dec 2018
The wake-sleep algorithm for unsupervised neural networksoriginal ↗
17 Jun 2018
Opening the Black Box of Deep Neural Networks with more informationoriginal ↗
23 May 2018