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_config.yml

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# -----------------------------------------------------------------------------
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title: Adaptive Inference Lab
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first_name:
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first_name:
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middle_name: #
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last_name:
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last_name:
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description: >
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We build statistical AI systems for context-aware healthcare.

_news/04_17_2025_fastcache.md

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related_posts: false
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---
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Our paper [FastCache](https://arxiv.org/abs/2505.20353) is published in *CVPR BASE*. Congrats to first-author Dong!
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Our paper [FastCache](https://arxiv.org/abs/2505.20353) is published in _CVPR BASE_. Congrats to first-author Dong!

_news/05_23_2025_pnas.md

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related_posts: false
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Our paper on [Contextualized Networks](https://www.pnas.org/doi/abs/10.1073/pnas.2411930122) is published in *PNAS*. Congrats to first-author Caleb!
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Our paper on [Contextualized Networks](https://www.pnas.org/doi/abs/10.1073/pnas.2411930122) is published in _PNAS_. Congrats to first-author Caleb!

_pages/about.md

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---
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layout: main
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title:
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title:
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permalink: /
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subtitle:
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subtitle:
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news: true # includes a list of news items
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selected_papers: true # includes a list of papers marked as "selected={true}"

_pages/resources.md

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### Software tools
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[FastLM](https://fastlm.ai) - Fast, light-weight tools for large-scale, distributed, parallel, sparsity. Includes:
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- [FastCache](https://github.com/FastLM/FastCache): Fast Caching for Diffusion Transformer Through Learnable Linear Approximation
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- [PiKV](https://github.com/FastLM/PiKV): KV Cache Management System for MoE
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- [GraphSnapShot](https://github.com/FastLM/GraphSnapShot): Caching Local Structure for Fast Graph Learning
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Contextualized ML:
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- [ContextualizedML](https://contextualized.ml) - An SKLearn-style toolbox for estimating and analyzing models, distributions, and functions with context-specific parameters
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Explainable Boosting Machines (EBM):
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- [ConferenceCountdown](https://github.com/AdaptInfer/ConferenceCountdown) - A countdown website for ML/CompBio conference deadlines.
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- [website_utils](https://github.com/adaptinfer/website_Utils) - Some utilities for building this website.
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_pages/teaching.md

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- Fall 2025: [_STAT 453: Introduction to Deep Learning and Generative Models_](https://adaptinfer.org/dgm-fall-2025/)
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- Spring 2025: [_STAT 479: Introduction to PGMs and Probabilistic AI_](https://adaptinfer.org/pgm-spring-2025/)
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package-lock.json

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package.json

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"devDependencies": {
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"@shopify/prettier-plugin-liquid": "1.4.0",
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"prettier": "3.1.1"
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}
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},
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"name": "website",
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"description": "## New members:",
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"version": "1.0.0",
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"main": "purgecss.config.js",
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"scripts": {
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"test": "echo \"Error: no test specified\" && exit 1"
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},
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"repository": {
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"type": "git",
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"url": "git+https://github.com/AdaptInfer/website.git"
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},
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"keywords": [],
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"author": "",
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"license": "ISC",
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"bugs": {
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"url": "https://github.com/AdaptInfer/website/issues"
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},
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"homepage": "https://github.com/AdaptInfer/website#readme"
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}

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