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Modeling Trajectories with Recurrent Neural Networks

https://doi.org/10.24963/ijcai.2017/430
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Finding structure in time
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Self-disclosure decision making based on intimacy and privacy
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Extracting opinionated (sub)features from a stream of product reviews using accumulated novelty and internal re-organization
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Bayesian Inverse Reinforcement Learning
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Neural Networks for Machine Learning
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Backpropagation through time: what it does and how to do it
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Gradient Flow in Recurrent Nets: The Difficulty of Learning LongTerm Dependencies
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Destination prediction by sub-trajectory synthesis and privacy protection against such prediction
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T-Drive: Enhancing Driving Directions with Taxi Drivers' Intelligence
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Navigate like a cabbie
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Hidden Markov map matching through noise and sparseness
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Map matching
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Modeling heterogeneous routing decisions in trajectories for driving experience learning
inferredcites →https://doi.org/10.1145/2939672.2939843openalex-snapshot
Probabilistic Robust Route Recovery with Spatio-Temporal Dynamics
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Long Short-Term Memory
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Maximum Entropy Inverse Reinforcement Learning
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Finding Structure in Time
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Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision
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LSTM neural networks for language modeling
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Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
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On Using Very Large Target Vocabulary for Neural Machine Translation
inferredcites →https://doi.org/10.4230/lipics.fun.2016.3openalex-snapshot
Generating Sequences With Recurrent Neural Networks
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On the difficulty of training Recurrent Neural Networks
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Recurrent Neural Network Regularization
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Introduction to information retrieval

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Hypergraph Hash Learning for Efficient Trajectory Similarity Computation
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Traj2Former: A Local Context-aware Snapshot and Sequential Dual Fusion Transformer for Trajectory Classification
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A Deep Generative Model for Trajectory Modeling and Utilization
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DeepTravel: a Neural Network Based Travel Time Estimation Model with Auxiliary Supervision
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Extrapolating Paths with Graph Neural Networks
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Spatial–Temporal Reconstruction of Trajectories in Free Space Using Automatic Target Position Detection Data
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Predicting Future Locations of Moving Objects by Recurrent Mixture Density Network
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OctoPath: An OcTree-Based Self-Supervised Learning Approach to Local Trajectory Planning for Mobile Robots
inferred← citeshttps://doi.org/10.3390/s22197475openalex-snapshot
Modeling Trajectories Obtained from External Sensors for Location Prediction via NLP Approaches
inferred← citeshttps://doi.org/10.3390/s26041309openalex-snapshot
A Method for Pedestrian Trajectory Prediction Using INS-GNSS Wearable Devices
inferred← citeshttps://doi.org/10.4108/eai.21-10-2021.171595openalex-snapshot
FedADMP: A Joint Anomaly Detection and Mobility Prediction Framework via Federated Learning
inferred← citeshttps://doi.org/10.48550/arxiv.1807.06190openalex-snapshot
Privacy-preserving classifiers recognize shared mobility behaviours from WiFi network imperfect data
inferred← citeshttps://doi.org/10.48550/arxiv.1810.06405openalex-snapshot
Ineffectiveness of Dictionary Coding to Infer Predictability Limits of Human Mobility
inferred← citeshttps://doi.org/10.48550/arxiv.1811.08069openalex-snapshot
Representation Learning of Pedestrian Trajectories Using Actor-Critic Sequence-to-Sequence Autoencoder
inferred← citeshttps://doi.org/10.48550/arxiv.1903.07518openalex-snapshot
Extrapolating paths with graph neural networks
inferred← citeshttps://doi.org/10.48550/arxiv.1910.11851openalex-snapshot
Modeling vehicular mobility patterns using recurrent neural networks
inferred← citeshttps://doi.org/10.48550/arxiv.1912.00455openalex-snapshot
Real-time Travel Time Estimation Using Matrix Factorization
inferred← citeshttps://doi.org/10.48550/arxiv.1912.11259openalex-snapshot
Mining User Behaviour from Smartphone data: a literature review
inferred← citeshttps://doi.org/10.48550/arxiv.2001.02354openalex-snapshot
VisionNet: A Drivable-space-based Interactive Motion Prediction Network for Autonomous Driving
inferred← citeshttps://doi.org/10.48550/arxiv.2003.08512openalex-snapshot
Empirical Characterization of Mobility of Multi-Device Internet Users
inferred← citeshttps://doi.org/10.48550/arxiv.2102.10058openalex-snapshot
Principled Simplicial Neural Networks for Trajectory Prediction
inferred← citeshttps://doi.org/10.48550/arxiv.2106.08946openalex-snapshot
FGLP: A Federated Fine-Grained Location Prediction System for Mobile Users
inferred← citeshttps://doi.org/10.59277/pra-ser.a.25.4.10openalex-snapshot
An accurate Spatial Temporal Graph ATtention Network for pedestrian trajectory prediction
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