<feed xmlns="http://www.w3.org/2005/Atom"> <id>https://seongokryu.github.io/</id><title>Seongok Ryu</title><subtitle>Personal blog by Seongok Ryu on AI, drug discovery, and investment.</subtitle> <updated>2026-04-10T00:05:52+09:00</updated> <author> <name>Seongok Ryu</name> <uri>https://seongokryu.github.io/</uri> </author><link rel="self" type="application/atom+xml" href="https://seongokryu.github.io/feed.xml"/><link rel="alternate" type="text/html" hreflang="en" href="https://seongokryu.github.io/"/> <generator uri="https://jekyllrb.com/" version="4.4.1">Jekyll</generator> <rights> © 2026 Seongok Ryu </rights> <icon>/assets/img/favicons/favicon.ico</icon> <logo>/assets/img/favicons/favicon-96x96.png</logo> <entry><title>Bayesian DL &amp; UQ Part 7: The Future of UQ — Uncertainty in the Age of Foundation Models</title><link href="https://seongokryu.github.io/posts/bayesian-dl-uq-part7-future-foundation-models/" rel="alternate" type="text/html" title="Bayesian DL &amp;amp; UQ Part 7: The Future of UQ — Uncertainty in the Age of Foundation Models" /><published>2026-04-09T14:35:00+09:00</published> <updated>2026-04-09T14:35:00+09:00</updated> <id>https://seongokryu.github.io/posts/bayesian-dl-uq-part7-future-foundation-models/</id> <content type="text/html" src="https://seongokryu.github.io/posts/bayesian-dl-uq-part7-future-foundation-models/" /> <author> <name>Seongok Ryu</name> </author> <category term="AI &amp; ML" /> <category term="ML Theory" /> <summary>Bayesian Deep Learning and Uncertainty Quantification — A Journey Toward Trustworthy AI This is Part 7 of an 8-part series. Part 0: Beyond Predictions — Why Uncertainty Matters Part 1: The Language of Bayesian Inference Part 2: The Art of Approximation — From Variational to Ensemble Part 3: The Anatomy of Uncertainty — Aleatoric vs. Epistemic Part 4: Calibration and Conformal Predi...</summary> </entry> <entry><title>Bayesian DL &amp; UQ Part 6: UQ in Science — Molecules, Proteins, and Materials</title><link href="https://seongokryu.github.io/posts/bayesian-dl-uq-part6-uq-in-science/" rel="alternate" type="text/html" title="Bayesian DL &amp;amp; UQ Part 6: UQ in Science — Molecules, Proteins, and Materials" /><published>2026-04-09T14:30:00+09:00</published> <updated>2026-04-09T14:30:00+09:00</updated> <id>https://seongokryu.github.io/posts/bayesian-dl-uq-part6-uq-in-science/</id> <content type="text/html" src="https://seongokryu.github.io/posts/bayesian-dl-uq-part6-uq-in-science/" /> <author> <name>Seongok Ryu</name> </author> <category term="AI &amp; ML" /> <category term="ML Theory" /> <summary>Bayesian Deep Learning and Uncertainty Quantification — A Journey Toward Trustworthy AI This is Part 6 of an 8-part series. Part 0: Beyond Predictions — Why Uncertainty Matters Part 1: The Language of Bayesian Inference Part 2: The Art of Approximation — From Variational to Ensemble Part 3: The Anatomy of Uncertainty — Aleatoric vs. Epistemic Part 4: Calibration and Conformal Predi...</summary> </entry> <entry><title>Bayesian DL &amp; UQ Part 5: Single-Pass UQ — Evidential Deep Learning and Distance-Aware Methods</title><link href="https://seongokryu.github.io/posts/bayesian-dl-uq-part5-single-pass-uq/" rel="alternate" type="text/html" title="Bayesian DL &amp;amp; UQ Part 5: Single-Pass UQ — Evidential Deep Learning and Distance-Aware Methods" /><published>2026-04-09T14:25:00+09:00</published> <updated>2026-04-09T14:25:00+09:00</updated> <id>https://seongokryu.github.io/posts/bayesian-dl-uq-part5-single-pass-uq/</id> <content type="text/html" src="https://seongokryu.github.io/posts/bayesian-dl-uq-part5-single-pass-uq/" /> <author> <name>Seongok Ryu</name> </author> <category term="AI &amp; ML" /> <category term="ML Theory" /> <summary>Bayesian Deep Learning and Uncertainty Quantification — A Journey Toward Trustworthy AI This is Part 5 of an 8-part series. Part 0: Beyond Predictions — Why Uncertainty Matters Part 1: The Language of Bayesian Inference Part 2: The Art of Approximation — From Variational to Ensemble Part 3: The Anatomy of Uncertainty — Aleatoric vs. Epistemic Part 4: Calibration and Conformal Predi...</summary> </entry> <entry><title>Bayesian DL &amp; UQ Part 4: Calibration and Conformal Prediction</title><link href="https://seongokryu.github.io/posts/bayesian-dl-uq-part4-calibration-conformal/" rel="alternate" type="text/html" title="Bayesian DL &amp;amp; UQ Part 4: Calibration and Conformal Prediction" /><published>2026-04-09T14:20:00+09:00</published> <updated>2026-04-09T14:20:00+09:00</updated> <id>https://seongokryu.github.io/posts/bayesian-dl-uq-part4-calibration-conformal/</id> <content type="text/html" src="https://seongokryu.github.io/posts/bayesian-dl-uq-part4-calibration-conformal/" /> <author> <name>Seongok Ryu</name> </author> <category term="AI &amp; ML" /> <category term="ML Theory" /> <summary>Bayesian Deep Learning and Uncertainty Quantification — A Journey Toward Trustworthy AI This is Part 4 of an 8-part series. Part 0: Beyond Predictions — Why Uncertainty Matters Part 1: The Language of Bayesian Inference Part 2: The Art of Approximation — From Variational to Ensemble Part 3: The Anatomy of Uncertainty — Aleatoric vs. Epistemic Part 4: Calibration and Conformal Predi...</summary> </entry> <entry><title>Bayesian DL &amp; UQ Part 3: The Anatomy of Uncertainty — Aleatoric vs. Epistemic</title><link href="https://seongokryu.github.io/posts/bayesian-dl-uq-part3-anatomy-of-uncertainty/" rel="alternate" type="text/html" title="Bayesian DL &amp;amp; UQ Part 3: The Anatomy of Uncertainty — Aleatoric vs. Epistemic" /><published>2026-04-09T14:15:00+09:00</published> <updated>2026-04-09T14:15:00+09:00</updated> <id>https://seongokryu.github.io/posts/bayesian-dl-uq-part3-anatomy-of-uncertainty/</id> <content type="text/html" src="https://seongokryu.github.io/posts/bayesian-dl-uq-part3-anatomy-of-uncertainty/" /> <author> <name>Seongok Ryu</name> </author> <category term="AI &amp; ML" /> <category term="ML Theory" /> <summary>Bayesian Deep Learning and Uncertainty Quantification — A Journey Toward Trustworthy AI This is Part 3 of an 8-part series. Part 0: Beyond Predictions — Why Uncertainty Matters Part 1: The Language of Bayesian Inference Part 2: The Art of Approximation — From Variational to Ensemble Part 3: The Anatomy of Uncertainty — Aleatoric vs. Epistemic (this post) Part 4: Calibration and Con...</summary> </entry> </feed>
