Machine Learning

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I stopped using most of Rust’s advanced features for my ML library

 🤖AI  Content type: Code
github.com··r/rust

Backpropagation Without the Magic: A First-Principles Derivation

 🤖Transformers  Content type: Blog
medium.com
·

ORIGAMI: Orientation-Aware Graph Neural Network for Assessing Multimeric Interfaces of Protein Complex Structures

 🖼️Neural Style Transfer  Content type: Academic
biorxiv.org·

Theory of learning of high-dimensional controlled non-linear dynamical systems (I): models and methods

 🎮Reinforcement Learning  Content type: Academic
arxiv.org·

Algebraic Cryptanalytic Extraction on Hard-Label Neural Networks

 🤖AI
eprint.iacr.org·

Evaluating and developing machine learning models: äN introduction (gpn24)

 🤖AI
cdn.media.ccc.de·

New comment by bhvk08 in "Ask HN: Who wants to be hired? (June 2026)"

 🤖AI  Content type: Discussion

New comment by perturbation in "Ask HN: Who wants to be hired? (June 2026)"

 🤖AI

Generalization in Deep Neural Networks: Minimax Rates for Gradient Methods

 🔢TensorFlow  Content type: Academic
arxiv.org·

CytoGem-XAI:A Hypergraph Neural Network Framework for Genome-Scale Metabolic Modeling and Interpretable Analysis

 🔢TensorFlow  Content type: Academic
biorxiv.org·

Physics-trained digital 'super-brain' speeds nanophotonic design

 🖼️Neural Style Transfer
phys.org·

Optimal Rates for Generalization of Gradient Descent Methods with Deep Neural Networks

 🔢TensorFlow  Content type: Academic
arxiv.org·

JGRA: Jacobian Geometry Robustness Assessment in NISQ Noise-Aware Quantum Neural Networks

 🎨Neural Style  Content type: Academic
arxiv.org·

Spiking Neural Network inference on FPGAs with hls4ml

 🤖AI  Content type: Academic
arxiv.org·

meleantonio forked meleantonio/DEQN_Galo_03_2026 from sischei/DEQN_Galo_03_2026

 🤖AI  Content type: Code
github.com·

Flatland: The Adventures of Gradient Descent with Large Step Sizes

 🔢TensorFlow  Content type: Academic
arxiv.org·

New comment by Ayaz_Saifi in "Ask HN: Who wants to be hired? (June 2026)"

 🤖AI

Second-Order Path Kernel Interpolation Formulas in Machine Learning

 🔢TensorFlow  Content type: Academic
arxiv.org·

Hyperparameter Learning for Latent Factorization of Tensors for Representation Learning to Large-scale Dynamic Weighted Directed Network

 🔢TensorFlow  Content type: Academic
arxiv.org·

KJLdefeated/RL.cu: RLVR training for LLM in CUDA/C++

 🤖AI  Content type: Code
github.com··Hacker News

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