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41554 blogs · [ { "id": "01a08740-9029-718a-b367-a1f163f9ac8b", "title": "Annotated Deep Learning Course", "url": "http://bjlkeng.github.io/posts/annotated-deep-learning-course/", "published_at": "2026-03-10T20:41:56+00:00" }, { "id": "01a08740-9029-718a-b367-a1f164ca12e4", "title": "The Logic Behind the Maximum Entropy Principle", "url": "http://bjlkeng.github.io/posts/the-logic-behind-entropy/", "published_at": "2024-08-03T00:44:59+00:00" }, { "id": "01a08740-9029-718a-b367-a1f16596fd45", "title": "Iterative Summarization using LLMs", "url": "http://bjlkeng.github.io/posts/iterative-summarization-using-llms/", "published_at": "2024-06-04T00:21:43+00:00" }, { "id": "01a08740-9029-718a-b367-a1f1665dc979", "title": "A Look at The First Place Solution of a Dermatology Classification Kaggle Competition", "url": "http://bjlkeng.github.io/posts/a-look-at-the-first-place-solution-of-a-dermatology-classification-kaggle-competition/", "published_at": "2023-12-23T00:09:46+00:00" }, { "id": "01a08740-9029-718a-b367-a1f166cba790", "title": "LLM Fun: Building a Q&A Bot of Myself", "url": "http://bjlkeng.github.io/posts/building-a-qa-bot-of-me-with-openai-and-cloudflare/", "published_at": "2023-09-25T00:56:42+00:00" }, { "id": "01a08740-9029-718a-b367-a1f166ffe9da", "title": "Bayesian Learning via Stochastic Gradient Langevin Dynamics and Bayes by Backprop", "url": "http://bjlkeng.github.io/posts/bayesian-learning-via-stochastic-gradient-langevin-dynamics-and-bayes-by-backprop/", "published_at": "2023-02-08T23:25:40+00:00" }, { "id": "01a08740-9029-718a-b367-a1f167ee2a2d", "title": "An Introduction to Stochastic Calculus", "url": "http://bjlkeng.github.io/posts/an-introduction-to-stochastic-calculus/", "published_at": "2022-09-12T01:05:55+00:00" }, { "id": "01a08740-9029-718a-b367-a1f16828144b", "title": "Normalizing Flows with Real NVP", "url": "http://bjlkeng.github.io/posts/normalizing-flows-with-real-nvp/", "published_at": "2022-04-23T23:36:05+00:00" }, { "id": "01a08740-9029-718a-b367-a1f168930c06", "title": "Hamiltonian Monte Carlo", "url": "http://bjlkeng.github.io/posts/hamiltonian-monte-carlo/", "published_at": "2021-12-24T00:07:05+00:00" }, { "id": "01a08740-902a-7123-bc49-7da8798ac116", "title": "Lossless Compression with Latent Variable Models using Bits-Back Coding", "url": "http://bjlkeng.github.io/posts/lossless-compression-with-latent-variable-models-using-bits-back-coding/", "published_at": "2021-07-06T16:00:00+00:00" } ] posts
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bjlkeng.github.io
2026
Annotated Deep Learning Course
original ↗
10 Mar 2026
2024
The Logic Behind the Maximum Entropy Principle
original ↗
3 Aug 2024
Iterative Summarization using LLMs
original ↗
4 Jun 2024
2023
A Look at The First Place Solution of a Dermatology Classification Kaggle Competition
original ↗
23 Dec 2023
LLM Fun: Building a Q&A Bot of Myself
original ↗
25 Sept 2023
Bayesian Learning via Stochastic Gradient Langevin Dynamics and Bayes by Backprop
original ↗
8 Feb 2023
2022
An Introduction to Stochastic Calculus
original ↗
12 Sept 2022
Normalizing Flows with Real NVP
original ↗
23 Apr 2022
2021
Hamiltonian Monte Carlo
original ↗
24 Dec 2021
Lossless Compression with Latent Variable Models using Bits-Back Coding
original ↗
6 Jul 2021