:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	De Cristofaro, Francesco, Lex, Cornelia, Hu, Jia, Eichberger, Arno
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2509.06529
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Prediction of Lane Change Intentions of Human Drivers using an LSTM, a CNN and a Transformer
by: De Cristofaro, Francesco, et al.
Published: (2025)

Evolutionary Physics-Informed Temporal Fusion for Lane-Change Intention Prediction
by: Shi, Jiazhao, et al.
Published: (2025)

Multi-Scenario Highway Lane-Change Intention Prediction: A Physics-Informed AI Framework for Three-Class Classification
by: Shi, Jiazhao, et al.
Published: (2025)

Accelerating the Evolution of Personalized Automated Lane Change through Lesson Learning
by: Hu, Jia, et al.
Published: (2024)

LMFormer: Lane based Motion Prediction Transformer
by: Yadav, Harsh, et al.
Published: (2025)

The Inadequacy of Similarity-based Privacy Metrics: Privacy Attacks against "Truly Anonymous" Synthetic Datasets
by: Ganev, Georgi, et al.
Published: (2023)

Rethinking Anonymity Claims in Synthetic Data Generation: A Model-Centric Privacy Attack Perspective
by: Ganev, Georgi, et al.
Published: (2026)

Reinforcement Learning From State and Temporal Differences
by: Weaver, Lex, et al.
Published: (2025)

Towards a Problem-Oriented Domain Adaptation Framework for Machine Learning
by: Spitzer, Philipp, et al.
Published: (2025)

A Systematic Review of Federated Generative Models
by: Gargary, Ashkan Vedadi, et al.
Published: (2024)

Graphical vs. Deep Generative Models: Measuring the Impact of Differentially Private Mechanisms and Budgets on Utility
by: Ganev, Georgi, et al.
Published: (2023)

MIAT: Maneuver-Intention-Aware Transformer for Spatio-Temporal Trajectory Prediction
by: Raskoti, Chandra, et al.
Published: (2025)

Nearly Tight Black-Box Auditing of Differentially Private Machine Learning
by: Annamalai, Meenatchi Sundaram Muthu Selva, et al.
Published: (2024)

Differentiable Fuzzy Neural Networks for Recommender Systems
by: Bartl, Stephan, et al.
Published: (2025)

Advanced POD-Based Performance Evaluation of Classifiers Applied to Human Driver Lane Changing Prediction
by: Rastin, Zahra, et al.
Published: (2024)

The Elusive Pursuit of Reproducing PATE-GAN: Benchmarking, Auditing, Debugging
by: Ganev, Georgi, et al.
Published: (2024)

From Observation to Prediction: LSTM for Vehicle Lane Change Forecasting on Highway On/Off-Ramps
by: Abouras, Mohamed, et al.
Published: (2026)

Self-Discovered Intention-aware Transformer for Multi-modal Vehicle Trajectory Prediction
by: Liu, Diyi, et al.
Published: (2026)

A Multi-Agent, Policy-Gradient approach to Network Routing
by: Tao, Nigel, et al.
Published: (2025)

Optimizing LaneSegNet for Real-Time Lane Topology Prediction in Autonomous Vehicles
by: Stevens, William, et al.
Published: (2024)

Streamlining Prediction in Bayesian Deep Learning
by: Li, Rui, et al.
Published: (2024)

On the Design Space Between Transformers and Recursive Neural Nets
by: Chowdhury, Jishnu Ray, et al.
Published: (2024)

Design Insights and Comparative Evaluation of a Hardware-Based Cooperative Perception Architecture for Lane Change Prediction
by: Manzour, Mohamed, et al.
Published: (2025)

Safe Hybrid-Action Reinforcement Learning-Based Decision and Control for Discretionary Lane Change
by: Xu, Ruichen, et al.
Published: (2024)

Understanding the Impact of Data Domain Extraction on Synthetic Data Privacy
by: Ganev, Georgi, et al.
Published: (2025)

The Importance of Being Discrete: Measuring the Impact of Discretization in End-to-End Differentially Private Synthetic Data
by: Ganev, Georgi, et al.
Published: (2025)

To Shuffle or not to Shuffle: Auditing DP-SGD with Shuffling
by: Annamalai, Meenatchi Sundaram Muthu Selva, et al.
Published: (2024)

Lane-Wise Highway Anomaly Detection
by: Qiu, Mei, et al.
Published: (2025)

Inferring bifurcation diagrams of two distinct chaotic systems by a single machine
by: Guo, Jianmin, et al.
Published: (2026)

Bayesian Symbolic Regression for Missing Physics
by: Strouwen, Arno
Published: (2026)

Masked EEG Modeling for Driving Intention Prediction
by: Zhou, Jinzhao, et al.
Published: (2024)

Performance Comparison of Deep RL Algorithms for Mixed Traffic Cooperative Lane-Changing
by: Yao, Xue, et al.
Published: (2024)

Meta-Learning and Targeted Differential Privacy to Improve the Accuracy-Privacy Trade-off in Recommendations
by: Müllner, Peter, et al.
Published: (2026)

Real-World Deployment of a Lane Change Prediction Architecture Based on Knowledge Graph Embeddings and Bayesian Inference
by: Manzour, M., et al.
Published: (2025)

Unified Multimodal Vessel Trajectory Prediction with Explainable Navigation Intention
by: Zhang, Rui, et al.
Published: (2025)

Explainable Lane Change Prediction for Near-Crash Scenarios Using Knowledge Graph Embeddings and Retrieval Augmented Generation
by: Manzour, M., et al.
Published: (2025)

Investigating Recurrent Transformers with Dynamic Halt
by: Chowdhury, Jishnu Ray, et al.
Published: (2024)

AI Recommendation Systems for Lane-Changing Using Adherence-Aware Reinforcement Learning
by: Sun, Weihao, et al.
Published: (2025)

Multi-agent Reinforcement Learning for Cooperative Lane Changing of Connected and Autonomous Vehicles in Mixed Traffic
by: Zhou, Wei, et al.
Published: (2021)

Changes by Butterflies: Farsighted Forecasting with Group Reservoir Transformer
by: Kowsher, Md, et al.
Published: (2024)