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Deconstructing BERT, Part 2: Visualizing the Inner Workings of Attention | by Jesse Vig | Towards Data Science
Ayan Das · An introduction to Diffusion Probabilistic Models
Ayan Das · Generative modelling with Score Functions
CS224n: Natural Language Processing with Deep Learning Lecture Notes: Part V Language Models, RNN, GRU and LSTM
Modeling | CS324
Summary of the tasks — transformers 3.3.0 documentation
Referents
2D Fourier transform in Python: Create any image using only sine functions
Discrete cosine transform
ece830_spring15_lecture7.pdf
Poutine (Effect handlers) — Pyro documentation
handlers-tutorial.pdf
MA934.pdf
Image Transforms - Fourier Transform
Ayan Das · An introduction to Diffusion Probabilistic Models
Ayan Das · Introduction to Probabilistic Programming
[2110.11309] Fast Model Editing at Scale
Generalized Visual Language Models | Lil'Log
Google AI Blog: Minerva: Solving Quantitative Reasoning Problems with Language Models
Reframing Reinforcement Learning as Sequence Modeling with Transformers?
seven-virtues.pdf
A synthetic protein-level neural network in mammalian cells | bioRxiv
NVIDIA Expands Large Language Models to Biology | NVIDIA Blog
Moral Uncertainty
Learning to Learn with Generative Models of Neural Network Checkpoints
How New are Yann LeCun’s “New” Ideas? - by Gary Marcus
Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation – Alexia Jolicoeur-Martineau
A Deep Learning Approach to Data Compression – The Berkeley Artificial Intelligence Research Blog
ZINE MUNCH #9: Twitter Mutual Writer House and the Limits of Critique (w/ Jessica Dai and Emily Liu)
Data Compression With Arithmetic Coding | Mark Nelson
Learning to Imitate
Entropy coding
Asymmetric numeral systems
Importance Weighted Autoencoders - Markus Borea
使命
A diffusion model for protein design - Baker Lab
HiPPO: Recurrent Memory with Optimal Polynomial Projections · Hazy Research
VALL-E
BERT, ELMo, & GPT-2: How Contextual are Contextualized Word Representations? | SAIL Blog
A new trick for calculating Jacobian vector products
svd-derivative.pdf
qr-derivative.pdf
Polynomial basis expansion
Key ideas in probability and statistics illustrated on a simple problem
Instance Normalization in PyTorch (With Examples) – Weights & Biases
Google's Muse model could be the next big thing for generative AI | VentureBeat
Simplifying S4 · Hazy Research
The Basic Algebra Behind Secret Codes and Space Communication | Quanta Magazine
How-to Transformer Mechanistic Interpretability—in 50 lines of code or less! - LessWrong
Concrete Steps to Get Started in Transformer Mechanistic Interpretability — Neel Nanda