:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Chehade, Mohamad Fares El Hajj, Li, Wenting, Bell, Brian W., Bent, Russell, Kazi, Saif R., Zhu, Hao
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning
Acceso en línea:	https://arxiv.org/abs/2408.08824
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

TRAM: Test-Time Risk Adaptation with Mixture of Agents
por: Chehade, Mohamad Fares El Hajj, et al.
Publicado: (2024)

E-Globe: Scalable $ε$-Global Verification of Neural Networks via Tight Upper Bounds and Pattern-Aware Branching
por: Li, Wenting, et al.
Publicado: (2026)

Should we use model-free or model-based control? A case study of battery management systems
por: Chehade, Mohamad Fares El Hajj, et al.
Publicado: (2024)

Analysis of a degenerate parabolic system for cell dynamics in intestinal crypts
por: Hajj, Ahmad El, et al.
Publicado: (2026)

SINBAD: Saliency-informed detection of breakage caused by ad blocking
por: Chehade, Saiid El Hajj, et al.
Publicado: (2024)

NEO-Grid: A Neural Approximation Framework for Optimization and Control in Distribution Grids
por: Chehade, Mohamad, et al.
Publicado: (2025)

Fine-Tuning LLMs to Generate Economical and Reliable Actions for the Power Grid
por: Chehade, Mohamad, et al.
Publicado: (2026)

FlowMixer: A Depth-Agnostic Neural Architecture for Interpretable Spatiotemporal Forecasting
por: Mehouachi, Fares B., et al.
Publicado: (2025)

Nonlinear Optimization with GPU-Accelerated Neural Network Constraints
por: Parker, Robert, et al.
Publicado: (2025)

Constraint-Informed Active Learning for End-to-End ACOPF Optimization Proxies
por: Li, Miao, et al.
Publicado: (2025)

Catastrophic Overfitting, Entropy Gap and Participation Ratio: A Noiseless $l^p$ Norm Solution for Fast Adversarial Training
por: Mehouachi, Fares B., et al.
Publicado: (2025)

Adversarial Robustness of Traffic Classification under Resource Constraints: Input Structure Matters
por: Chehade, Adel, et al.
Publicado: (2025)

Verified SHAP: Provable Bounds for Exact Shapley Values of Neural Networks
por: Boetius, David, et al.
Publicado: (2026)

BOOST: Microgrid Sizing using Ordinal Optimization
por: Chehade, Mohamad, et al.
Publicado: (2025)

Input Space Mode Connectivity in Deep Neural Networks
por: Vrabel, Jakub, et al.
Publicado: (2024)

Physics-Informed Heterogeneous Graph Neural Networks for DC Blocker Placement
por: Jin, Hongwei, et al.
Publicado: (2024)

Stochastic Q-learning for Large Discrete Action Spaces
por: Fourati, Fares, et al.
Publicado: (2024)

ANIRA: An Architecture for Neural Network Inference in Real-Time Audio Applications
por: Ackva, Valentin, et al.
Publicado: (2025)

Hardware-Aware Neural Architecture Search for Encrypted Traffic Classification on Resource-Constrained Devices
por: Chehade, Adel, et al.
Publicado: (2025)

Towards Privacy-Preserving Medical Imaging: Federated Learning with Differential Privacy and Secure Aggregation Using a Modified ResNet Architecture
por: Fares, Mohamad Haj, et al.
Publicado: (2024)

Exact Upper and Lower Bounds for the Output Distribution of Neural Networks with Random Inputs
por: Kofnov, Andrey, et al.
Publicado: (2025)

The Curvature Rate λ: A Scalar Measure of Input-Space Sharpness in Neural Networks
por: Poschl, Jacob
Publicado: (2025)

Urban traffic analysis and forecasting through shared Koopman eigenmodes
por: Yang, Chuhan, et al.
Publicado: (2024)

Exact, Fast and Expressive Poisson Point Processes via Squared Neural Families
por: Tsuchida, Russell, et al.
Publicado: (2024)

Input Invex Neural Network
por: Sapkota, Suman, et al.
Publicado: (2021)

Weight-of-Thought Reasoning: Exploring Neural Network Weights for Enhanced LLM Reasoning
por: Punjwani, Saif, et al.
Publicado: (2025)

Faster Verified Explanations for Neural Networks
por: De Palma, Alessandro, et al.
Publicado: (2025)

Tightening optimality gap with confidence through conformal prediction
por: Li, Miao, et al.
Publicado: (2025)

Finite element modeling of viscoelastic liquid crystal elastomers
por: Ali El Hajj Chehade, et al.
Publicado: (2024)

Sobolev Training of End-to-End Optimization Proxies
por: Rosemberg, Andrew W., et al.
Publicado: (2025)

Addressing Stereotypes in Large Language Models: A Critical Examination and Mitigation
por: Kazi, Fatima
Publicado: (2025)

The Importance of Model Inspection for Better Understanding Performance Characteristics of Graph Neural Networks
por: Shehata, Nairouz, et al.
Publicado: (2024)

A Geometric Framework for Adversarial Vulnerability in Machine Learning
por: Bell, Brian
Publicado: (2024)

TrustChain: A Blockchain Framework for Auditing and Verifying Aggregators in Decentralized Federated Learning
por: Hallaji, Ehsan, et al.
Publicado: (2025)

VerifierQ: Enhancing LLM Test Time Compute with Q-Learning-based Verifiers
por: Qi, Jianing, et al.
Publicado: (2024)

Exact Functional ANOVA Decomposition for Categorical Inputs Models
por: Ferrere, Baptiste, et al.
Publicado: (2026)

Efficient Analysis of the Distilled Neural Tangent Kernel
por: Mahowald, Jamie, et al.
Publicado: (2026)

Dynamic Optimization and Optimal Control of Hydrogen Blending Operations in Natural Gas Networks
por: Kazi, Saif R., et al.
Publicado: (2023)

Lecture Notes on Verifying Graph Neural Networks
por: Schwarzentruber, François
Publicado: (2025)

CR-LSO: Convex Neural Architecture Optimization in the Latent Space of Graph Variational Autoencoder with Input Convex Neural Networks
por: Rao, Xuan, et al.
Publicado: (2022)