An information maximization view on the $\beta$-VAE objective

·inFERENCe··

guest post with Dóra JámborThis is a half-guest-post written jointly with Dóra, a fellow participant in a reading group where we recently discussed the original paper on $\beta$-VAEs:Irina Higgins et al (ICLR 2017): $\beta$-VAE: Learning Basic Visual Concepts with a Constrained Variational FrameworkOn the surface of it, $\beta$-VAEs are a straightforward extension of VAEs where we are allowed to directly control the tradeoff between the reconstruction and KL loss terms. In an attempt to better u...

Read full article →

Related Articles

OpenAI’s o1 correctly diagnosed 67% of ER patients vs. 50-55% by triage doctors
donsupreme · Hacker News · 5mo ago
Harvard particle physicist Matthew Schwartz drops 36 papers authored with Claude
xqcgrek2 · Hacker News · 1d ago
Accelerating Gemma 4: faster inference with multi-token prediction drafters
amrrs · Hacker News · 5mo ago
An AI agent emailed researchers for help. It told us why
sbulaev · Hacker News · 9h ago
A couple million lines of Haskell: Production engineering at Mercury
unignorant · Hacker News · 5mo ago