eLife

A differentiable model for optimizing the genetic drivers of synaptogenesis

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...
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) ...
IEEE

Properties of Fixed Points of Generalised Extra Gradient Methods Applied to Min-Max Problems

Abstract: This paper studies properties of fixed points of generalised Extra-gradient (GEG) algorithms applied to min-max problems. We discuss connections between saddle points of the objective ...
GitHub

Neural Network from scratch in C++

Welcome to the Neural Network from Scratch in C++ project! This repository features a straightforward implementation of a neural network built entirely from the ground up using C++. Designed to engage ...
IEEE

Generalized Gradient Flows With Provable Fixed-Time Convergence and Fast Evasion of Non-Degenerate Saddle Points

Abstract: Gradient-based first-order convex optimization algorithms find widespread applicability in a variety of domains, including machine learning tasks. Motivated by the recent advances in ...
InfoWorld

Building LLM applications with vector search in Azure Cognitive Services

Tools like Semantic Kernel, TypeChat, and LangChain make it possible to build applications around generative AI technologies like Azure OpenAI. That’s because they allow you to put constraints around ...