∂ Automatic Differentiation - gautam6599123 · Scour

Augmenting Automatic Differentiation for a Single-Server Queue via the Leibniz Integral Rule 🎮Reinforcement Learning

arxiv.org·3d

DeepFocus-BP: Error-Aware Adaptive Backpropagation via Dynamic Alpha-Beta Routing (Achieving 66% FLOPs Reduction with Improved Accuracy) 🧠Neural Networks

zenodo.org·6d·Hacker News

jax-ml/jax: Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more 🔥PyTorch

github.com·4d·Hacker News

OpenXLA Project 🤖AI

openxla.org·4d·Hacker News

Toward Aristotelian Medical Representations: Backpropagation-Free Layer-wise Analysis for Interpretable Generalized Metric Learning on MedMNIST 🔥PyTorch

arxiv.org·2d

VertAX: a differentiable vertex model for learning epithelial tissue mechanics 🔥PyTorch

arxiv.org·1d

JZ-Tree: GPU friendly neighbour search and friends-of-friends with dual tree walks in JAX plus CUDA 🔥PyTorch

arxiv.org·2d

Late Breaking Results: Hardware-Efficient Quantum Reservoir Computing via Quantized Readout 🎮Reinforcement Learning

arxiv.org·2d

DeepFocus-BP: Error-Aware Adaptive Backpropagation via Dynamic Alpha-Beta Routing (Achieving 66% FLOPs Reduction with Improved Accuracy) - SOTA NLP Confirmed v3. (Resnet FAIL) 🧠Neural Networks

zenodo.org·5d·Hacker News

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