Neural Compression, Machine Learning, Rate-Distortion, Entropy Models
Optimizing training a GPT style Tokenizer with C++
justinhj.github.io·2d
(1) Fitting hierarchical models in genetics, (2) A Stan model that runs faster with 400,000 latent parameters, (3) Super-scalable penalized maximum likelihood i...
statmodeling.stat.columbia.edu·15h
Causal Identification of Sufficient, Contrastive and Complete Feature Sets in Image Classification
arxiv.org·4h
Investigating the Invertibility of Multimodal Latent Spaces: Limitations of Optimization-Based Methods
arxiv.org·4h
Structured outputs with Amazon Nova: A guide for builders
aws.amazon.com·15h
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