Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributions from Data
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- Jupyter Notebook
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noise-robustness
Here are 15 public repositories matching this topic...
[NeurIPS 2025] Official code for "Tropical Attention: Neural Algorithmic Reasoning for Combinatorial Algorithms"
transformers dynamic-programming attention-mechanism softmax tropical-geometry amoeba noise-robustness value-generation ood-generalization length-generalization neural-algorithmic-reasoning tropical-attention
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- Python
(ICLR 2025) Multi-Task Corrupted Prediction for Learning Robust Audio-Visual Speech Representation
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- Python
[ICLR 2026] StableToken: A state-of-the-art noise-robust semantic speech tokenizer featuring Voting-LFQ for resilient SpeechLLMs.
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- Python
Code accompanying the ICML 2025 paper "On the Importance of Gaussianizing Representations"
deep-learning information-theory gaussianization noise-robustness power-transform normalization-layers mutual-information-game
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- Python
This repo is the official released code of FoPro (AAAI-2023)
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- Python
When performance survives noise, identifiability may not.
quantum verification identifiability quantum-machine-learning noise-robustness variational-quantum-circuits quantum-machine-learning-simulation neural-quantum-models
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- Python
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This repository provides the official MATLAB implementation for the paper "RTGD-MVC: Robust Tensor Learning with Graph Diffusion for Scalable Multi-view Graph Clustering".
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- MATLAB
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
python docker machine-learning computer-vision deep-learning pattern-recognition autonomous-driving kitti-dataset multi-gpu neuromorphic-hardware neuromorphic-computing memristive-crossbar jax confidence-estimation production-ml noise-robustness implicit-regularization robust-ml hardware-aware-ml
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- Python
Fuzzy c-means feature augmentation for improving ML robustness under differential privacy noise. MLP +4.74% RMSE improvement. NAFIPS 2026. Code private pending publication.
python machine-learning ai deep-learning fuzzy data-privacy ai-safety differential-privacy privacy-preserving explainable-ai noise-robustness llm
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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.
information-retrieval pytorch ranking recommender-systems movielens implicit-feedback bayesian-personalized-ranking noise-robustness two-tower
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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.
lstm rnn gradient-clipping sequence-modeling noise-robustness long-term-dependency gradient-vanishing
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Analytical and computational exploration of clustering algorithms, focusing on k-means and k-medians, with MATLAB implementations and synthetic dataset analyses.
data-science machine-learning clustering matlab data-visualization computational-mathematics statistical-analysis data-analysis outlier-detection numerical-methods k-means unsupervised-learning k-medians k-medoids synthetic-data k-means-clustering k-medoids-clustering possibilistic-clustering-algorithms k-median-clustering noise-robustness
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- MATLAB
Diagnosing Through the Noise: Understanding Patient Self‑Descriptions
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- Jupyter Notebook
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