GitHub

Relational Conformal Prediction for Correlated Time Series (ICML 2025)

This repository contains the code to reproduce the experiments presented in the paper "Relational Conformal Prediction for Correlated Time Series". This project uses the Hydra library to handle the ...
GitHub

A Bayesian Approach to Segmentation with Noisy Labels via Spatially Correlated Distributions

Our approach models label noise in semantic segmentation with a probabilistic framework that incorporates spatial correlations. By introducing a continuous latent ...
IEEE

Noisier2Inverse: Self-Supervised Learning for Image Reconstruction With Correlated Noise

Abstract: We propose Noisier2Inverse, a correction-free, self-supervised deep learning method for general inverse problems. Our approach learns a reconstruction function without requiring ground truth ...
IEEE

Bloom Filter Cascade Application to SQL Query Implementation on Spark

Abstract: A new method for SQL query implementation in a parallel execution environment Apache Spark in a package mode was developed on the basis of Bloom Filter Cascade Application (BFCA). It ...