Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributions from Data

[NeurIPS 2025] Official code for "Tropical Attention: Neural Algorithmic Reasoning for Combinatorial Algorithms"

(ICLR 2025) Multi-Task Corrupted Prediction for Learning Robust Audio-Visual Speech Representation

[ICLR 2026] StableToken: A state-of-the-art noise-robust semantic speech tokenizer featuring Voting-LFQ for resilient SpeechLLMs.

Code accompanying the ICML 2025 paper "On the Importance of Gaussianizing Representations"

This repo is the official released code of FoPro (AAAI-2023)

When performance survives noise, identifiability may not.

This repository provides the official MATLAB implementation for the paper "RTGD-MVC: Robust Tensor Learning with Graph Diffusion for Scalable Multi-view Graph Clustering".

Production-ready framework for training robust computer vision models. Features multi-GPU support, EMA tracking, label smoothing, and comprehensive robustness evaluation across 4 noise types. Includes scalable TF.Data pipeline, automated testing, Docker support, and CLI tools. Install: pip install robust-vision

Diagnosing Through the Noise: Understanding Patient Self‑Descriptions

A comparative experiment between RNN and LSTM models to evaluate their ability to perform noise-robust sequence prediction. The project tests short-term vs long-term memory by reconstructing clean input sequences from noisy data, showing how LSTM outperforms RNN under long-dependency conditions.

Analytical and computational exploration of clustering algorithms, focusing on k-means and k-medians, with MATLAB implementations and synthetic dataset analyses.

Two-Tower BPR recommender system trained on MovieLens 20M with noise robustness analysis. Investigates how random vs popularity-biased label corruption affects ranking quality across user and item segments.