Latest AI Research Papers - Page 4

Latest Papers

December 3, 2024

Plug-and-Play Half-Quadratic Splitting for Ptychography
Alexander Denker, Johannes Hertrich, Zeljko Kereta, Silvia Cipiccia, Ecem Erin, Simon Arridge
Image Reconstruction Phase Retrieval Splitting Algorithm X Ray Ptychography Coherent Diffraction Imaging
Interaction Identification of a Heterogeneous NDS with Quadratic-Bilinear Subsystems
Tong Zhou
Frequency Domain Interaction Prediction Time Domain Input Output
Fractional Order Distributed Optimization
Andrei Lixandru, Marcel van Gerven, Sergio Pequito
Optimization Purpose Faster Convergence Distributed Optimization Fractional Derivative Provable Convergence
ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer
Jin Hu, Mingjia Li, Xiaojie Guo
Quantum Shadow Image Distortion Luminance Consistency Shadow Region
Unveiling Concept Attribution in Diffusion Models
Quang H. Nguyen, Hoang Phan, Khoa D. Doan
Diffusion Model Generative Model Model Interpretability Attribution Map Concept Attribution
Graph-Powered Defense: Controller Area Network Intrusion Detection for Unmanned Aerial Vehicles
Reek Majumder, Gurcan Comert, David Werth, Adrian Gale, Mashrur Chowdhury, M Sabbir Salek
Unmanned Aerial Vehicle Controller Area Network
On the Privacy, Security, and Trustworthy for Distributed Wireless Large AI Model (WLAM)
Zhaohui Yang, Wei Xu, Le Liang, Yuanhao Cui, Zhijin Qin, Merouane Debbah
Artificial Intelligence Artificial Intelligence Model Privacy Policy Security Related Pervasive Computing Large AI Model Wireless System Wireless Intelligence
Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization
Nicolás García Trillos, Aditya Kumar Akash, Sixu Li, Konstantin Riedl, Yuhua Zhu
Adversarial Attack Adversarial Scenario Bi Level Optimization New Algorithm
LiDAR-based Registration against Georeferenced Models for Globally Consistent Allocentric Maps
Jan Quenzel, Linus T. Mallwitz, Benedikt T. Arnold, Sven Behnke
Mid Range LiDAR Pre Registration LiDAR Odometry 3D Prior Lidar Map Allocentric Semantic Map
Multimodal Remote Sensing Scene Classification Using VLMs and Dual-Cross Attention Networks
Jinjin Cai, Kexin Meng, Baijian Yang, Gang Shao
Vision Language Model Large Vision Language Model Attention Network Multimodal Representation Scene Classification Understanding Cross Remote Sensing Scene Classification
WEM-GAN: Wavelet transform based facial expression manipulation
Dongya Sun, Yunfei Hu, Xianzhe Zhang, Yingsong Hu
Facial Expression Wavelet Transform Adversarial Wavelet
Active learning of neural population dynamics using two-photon holographic optogenetics
Andrew Wagenmaker, Lu Mi, Marton Rozsa, Matthew S. Bull, Karel Svoboda, Kayvon Daie, Matthew D. Golub, Kevin Jamieson
Active Learning Neural Dynamic Neural Population Neural Response Particle Photon
Bias Analysis of AI Models for Undergraduate Student Admissions
Kelly Van Busum, Shiaofen Fang
Absolute Stance Bias Artificial Intelligence Model Fairness Metric AI Model Bias Evaluation BIAS Detection Undergraduate Admission Exam
LLMForecaster: Improving Seasonal Event Forecasts with Unstructured Textual Data
Hanyu Zhang, Chuck Arvin, Dmitry Efimov, Michael W. Mahoney, Dominique Perrault-Joncas, Shankar Ramasubramanian, Andrew Gordon Wilson, Malcolm Wolff
Large Language Model LLM Based Unstructured Text Post Processing Event Forecasting Video Game Demand Time Series Forecasting Method
Cooperative Cruising: Reinforcement Learning based Time-Headway Control for Increased Traffic Efficiency
Yaron Veksler, Sharon Hornstein, Han Wang, Maria Laura Delle Monache, Daniel Urieli
Reinforcement Learning Traffic Management Adaptive Cruise Control Connected Autonomous Vehicle Cooperative Transportation Traffic Rule Vehicle to Infrastructure Real Time Traffic
FCL-ViT: Task-Aware Attention Tuning for Continual Learning
Anestis Kaimakamidis, Ioannis Pitas
Continual LEArning Self Attention Continual Learning ViT Lens Dynamic Attention
Towards Rich Emotions in 3D Avatars: A Text-to-3D Avatar Generation Benchmark
Haidong Xu, Meishan Zhang, Hao Ju, Zhedong Zheng, Hongyuan Zhu, Erik Cambria, Min Zhang, Hao Fei
New Benchmark Avatar Generation
ROVER: A Multi-Season Dataset for Visual SLAM
Fabian Schmidt, Constantin Blessing, Markus Enzweiler, Abhinav Valada
Simultaneous Localization and Mapping
CA-MoE: Channel-Adapted MoE for Incremental Weather Forecasting
Hao Chen, Han Tao, Guo Song, Jie Zhang, Yunlong Yu, Yonghan Dong, Chuang Yang, Lei Bai
Incremental Learning Adaptive Experiment Variational Learning Weather Variable MoE FFD
RelayGS: Reconstructing Dynamic Scenes with Large-Scale and Complex Motions via Relay Gaussians
Qiankun Gao, Yanmin Wu, Chengxiang Wen, Jiarui Meng, Luyang Tang, Jie Chen, Ronggang Wang, Jian Zhang
3D Gaussian Motion Information Dynamic Scene Complexity Level Scene Datasets RELAY Selection Temporal Motion Foreground Region Editing

Imitation Learning

Strong Generalization

Faithful Generation

Jina Embeddings

Representation Learning

Complex Reasoning

Large Language Model

Language Model

Reinforcement Learning

Neural Network

Imitation Learning

Strong Generalization

Faithful Generation

Jina Embeddings

Representation Learning

Complex Reasoning

Large Language Model

Language Model

Reinforcement Learning

Neural Network

Latest Papers

Plug-and-Play Half-Quadratic Splitting for Ptychography

Interaction Identification of a Heterogeneous NDS with Quadratic-Bilinear Subsystems

Fractional Order Distributed Optimization

ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer

Unveiling Concept Attribution in Diffusion Models

Graph-Powered Defense: Controller Area Network Intrusion Detection for Unmanned Aerial Vehicles

On the Privacy, Security, and Trustworthy for Distributed Wireless Large AI Model (WLAM)

Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization

LiDAR-based Registration against Georeferenced Models for Globally Consistent Allocentric Maps

Multimodal Remote Sensing Scene Classification Using VLMs and Dual-Cross Attention Networks

WEM-GAN: Wavelet transform based facial expression manipulation

Active learning of neural population dynamics using two-photon holographic optogenetics

Bias Analysis of AI Models for Undergraduate Student Admissions

LLMForecaster: Improving Seasonal Event Forecasts with Unstructured Textual Data

Cooperative Cruising: Reinforcement Learning based Time-Headway Control for Increased Traffic Efficiency

FCL-ViT: Task-Aware Attention Tuning for Continual Learning

Towards Rich Emotions in 3D Avatars: A Text-to-3D Avatar Generation Benchmark

ROVER: A Multi-Season Dataset for Visual SLAM

CA-MoE: Channel-Adapted MoE for Incremental Weather Forecasting

RelayGS: Reconstructing Dynamic Scenes with Large-Scale and Complex Motions via Relay Gaussians