IEEE

UPN-GCN: Update Positive-Negative Graph Convolution Neural Network in Non-Euclidean Structured Data

Abstract: Graph Convolutional neural Networks (GCNs) demonstrate exceptional effectiveness when working with data that have non-Euclidean structures. In recent years, numerous researchers have ...
IEEE

Watch Your Up-Convolution: CNN Based Generative Deep Neural Networks Are Failing to Reproduce Spectral Distributions

Abstract: Generative convolutional deep neural networks, e.g. popular GAN architectures, are relying on convolution based up-sampling methods to produce non-scalar outputs like images or video ...
GitHub

Lean Theorem Prover MCP

If that doesn't work, you can try cloning this repository and replace "lean-lsp-mcp" with "/path/to/cloned/lean-lsp-mcp". Claude Code (Click to expand) Run one of ...
GitHub

AutoRocq: Agentic Theorem Prover for Verification

This repository contains the source code of AutoRocq, an agent prover in Rocq (formerly Coq) 8.18.0. To discharge a formally stated theorem in Rocq, the agent runs in the following loop: ...