Latest Articles for Robustness

Examining AI decision-making and its unexpected challenges.

VeriQR improves robustness in quantum machine learning models against noise.

A new approach to assess the reliability of methods explaining AI decision-making.

A new tool for assessing explainability methods in AI systems.

RUM neural networks leverage random walks and memory for enhanced graph processing.

SAM-2 improves surgical video analysis, handling challenges like smoke and low lighting.

Examining quantum randomized smoothing and its role in reliable predictions.

Research focuses on improving machine learning defenses against adversarial attacks.

This study examines how certain neurons maintain stability in the visual system amidst changes.

A new method for safer predictions in critical applications.

Study reveals how minor changes affect contextual word embeddings.

Examining a new framework to improve algorithm performance in trading.

A new model improves deep learning for image recognition.

A new method enhances counterfactual explanations for machine learning model decisions.

Examining the strengths and weaknesses of VideoQA systems in understanding video content.

This paper discusses improving digital twins for reliable risk assessment and decision-making.

This article discusses improving the robustness of quantum machine learning models against adversarial attacks.

A fresh method enhances robot walking in dynamic environments using decision-making and machine learning.

This study reveals the impact of traits on species interactions and community stability.

A study on KAN's effectiveness compared to traditional methods in time series analysis.

A fresh method for assessing AI models through cross-model correlations.

New watermarking techniques protect image creators and combat misinformation.

A framework for assessing safety and emissions in self-driving vehicles.

Research focuses on making neural network control systems reliable and safe.

Examining SAM's robustness against adversarial attacks for safer self-driving technology.

This article discusses how converting data into text enhances computer understanding.

A framework for better control in systems with uncertainties using real data.

New methods improve machine learning models' defense against adversarial attacks.

Discover how LLMs enhance feature selection methods in machine learning.

Research improves automated sticker detection for sustainable electronic waste management.

A new framework improves offline reinforcement learning reliability and performance.

Discover how hybrid control systems tackle challenges in autonomous technology.

A new method enhances neural networks' ability to handle geometric changes.

Exploring new methods for fair decision-making in machine learning systems.

Research reveals how design impacts light movement in valley photonic crystals.

This study evaluates how slight changes impact language model responses.

This article explores effective training methods for reinforcement learning agents to reduce regret.

Quantum radar offers improved detection and measurement capabilities through unique light properties.

MRSE enhances online shopping by integrating text and image data for better search results.

A new benchmark aids in assessing speech tokenizers for better performance.