NextBigFuture

XAI Grok 4.20 and OpenAI GPT 5.2 Are Solving Significant Previously Unsolved Math Proofs

A Mathematician with early access to XAI Grok 4.20, found a new Bellman function for one of the problems he had been working ...
Scientific Research Publishing

Galactic Rotation Curves Explained in the 4DEU Framework by 3D Spatial Curvature from Local Gravitational Blocking of Cosmic Expansion: No Need for Dark Matter ()

The observed near flatness of galactic rotation curves has long been interpreted as evidence for large amounts of non-baryonic dark matter. Here we show that this phenom ...
IEEE

Manifold Graph Signal Restoration Using Gradient Graph Laplacian Regularizer

Abstract: In the graph signal processing (GSP) literature, graph Laplacian regularizer (GLR) was used for signal restoration to promote piecewise smooth / constant reconstruction with respect to an ...
Scientific Research Publishing

Geo-Refined Point Transformer: Coordinate-Aware Excitation and Positional Upsampling for 3D Scene Segmentation ()

The proposed Coordinate-Aware Feature Excitation (CAFE) module and Position-Aware Upsampling (Pos-Up) module both adhere to ...
IEEE

Stability Analysis of Recurrent Neural Networks With Time-Varying Delay Based on a Flexible Negative-Determination Quadratic Function Method

Abstract: This brief investigates the stability problem of recurrent neural networks (RNNs) with time-varying delay. First, by introducing some flexibility factors, a flexible negative-determination ...
GitHub

Graph Neural Networks as Gradient Flows

Main dependencies (with python >= 3.7) are: torch==1.8.1 torch-cluster==1.5.9 torch-geometric==2.0.3 torch-scatter==2.0.9 torch-sparse==0.6.12 torch-spline-conv==1.2.1 torchdiffeq==0.2.3 It is best to ...
GitHub

This is the official PyTorch implementation of our paper "Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent with Learned Distance Functions" (CVPR 2023).

Most existing point cloud upsampling methods have roughly three steps: feature extraction, feature expansion and 3D coordinate prediction. However, they usually suffer from two critical issues: (1) ...