Cover Image

SSPINNpose: A Self-Supervised PINN for Inertial Pose and Dynamics Estimation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gambietz, Markus, Dorschky, Eva, Akat, Altan, Schöckel, Marcel, Miehling, Jörg, Koelewijn, Anne D.
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The Effectiveness of Approximate Regularized Replay for Efficient Supervised Fine-Tuning of Large Language Models
by: Riemer, Matthew, et al.
Published: (2025)

Exploring the Influence of Dimensionality Reduction on Anomaly Detection Performance in Multivariate Time Series
by: Altin, Mahsun, et al.
Published: (2024)

B-PL-PINN: Stabilizing PINN Training with Bayesian Pseudo Labeling
by: Innerebner, Kevin, et al.
Published: (2025)

Diffusion-PINN Sampler
by: Shi, Zhekun, et al.
Published: (2024)

EV-PINN: A Physics-Informed Neural Network for Predicting Electric Vehicle Dynamics
by: Lim, Hansol, et al.
Published: (2024)

Pose-Aware Self-Supervised Learning with Viewpoint Trajectory Regularization
by: Wang, Jiayun, et al.
Published: (2024)

Self-Supervised Learning for Covariance Estimation
by: Diskin, Tzvi, et al.
Published: (2024)

CELL your Model: Contrastive Explanations for Large Language Models
by: Luss, Ronny, et al.
Published: (2024)

On Self-Supervised Dynamic Incremental Regularised Adaptation
by: Ghobrial, Abanoub, et al.
Published: (2023)

COSTAR: Improved Temporal Counterfactual Estimation with Self-Supervised Learning
by: Meng, Chuizheng, et al.
Published: (2023)

Coupled Integral PINN for Discontinuity
by: Wang, Yeping, et al.
Published: (2024)

Estimation of Resistance Training RPE using Inertial Sensors and Electromyography
by: Thomas, James, et al.
Published: (2025)

Self-Supervised Dynamical System Representations for Physiological Time-Series
by: Chen, Yenho, et al.
Published: (2025)

D$^3$epth: Self-Supervised Depth Estimation with Dynamic Mask in Dynamic Scenes
by: Chen, Siyu, et al.
Published: (2024)

Estimating Ground Reaction Forces from Inertial Sensors
by: Song, Bowen, et al.
Published: (2023)

Modelling Mosquito Population Dynamics using PINN-derived Empirical Parameters
by: Lalic, Branislava, et al.
Published: (2024)

Towards Self-Supervised Covariance Estimation in Deep Heteroscedastic Regression
by: Shukla, Megh, et al.
Published: (2025)

An LSTM-PINN Hybrid Method to the specific problem of population forecasting
by: Tao, Ze
Published: (2025)

RoPINN: Region Optimized Physics-Informed Neural Networks
by: Wu, Haixu, et al.
Published: (2024)

On the Asymptotics of Self-Supervised Pre-training: Two-Stage M-Estimation and Representation Symmetry
by: Tinati, Mohammad, et al.
Published: (2026)

Direct Estimation of Porosity from Seismic Data using Rock and Wave Physics Informed Neural Networks (RW-PINN)
by: Vashisth, Divakar, et al.
Published: (2022)

UniTac2Pose: A Unified Approach Learned in Simulation for Category-level Visuotactile In-hand Pose Estimation
by: Wu, Mingdong, et al.
Published: (2025)

Transformers for Supervised Online Continual Learning
by: Bornschein, Jorg, et al.
Published: (2024)

Damper-B-PINN: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Vehicle State Estimation
by: Zeng, Tianyi, et al.
Published: (2025)

Toward Fully Self-Supervised Multi-Pitch Estimation
by: Cwitkowitz, Frank, et al.
Published: (2024)

Object-Pose Estimation With Neural Population Codes
by: Hoffmann, Heiko, et al.
Published: (2025)

Using Motion Cues to Supervise Single-Frame Body Pose and Shape Estimation in Low Data Regimes
by: Davydov, Andrey, et al.
Published: (2024)

ProPINN: Demystifying Propagation Failures in Physics-Informed Neural Networks
by: Wu, Haixu, et al.
Published: (2025)

An adaptive wavelet-based PINN for problems with localized high-magnitude source
by: Pandey, Himanshu, et al.
Published: (2026)

On the Alignment Between Supervised and Self-Supervised Contrastive Learning
by: Luthra, Achleshwar, et al.
Published: (2025)

A practical PINN framework for multi-scale problems with multi-magnitude loss terms
by: Wang, Yong, et al.
Published: (2023)

From high-frequency sensors to noon reports: Using transfer learning for shaft power prediction in maritime
by: Sharma, Akriti, et al.
Published: (2025)

On the estimation rate of Bayesian PINN for inverse problems
by: Sun, Yi, et al.
Published: (2024)

Estimation of Food Intake Quantity Using Inertial Signals from Smartwatches
by: Levi, Ioannis, et al.
Published: (2025)

PINN-Obs: Physics-Informed Neural Network-Based Observer for Nonlinear Dynamical Systems
by: Farkane, Ayoub, et al.
Published: (2025)

Optimizing Multi-Task Learning for Accurate Spacecraft Pose Estimation
by: Evangelisti, Francesco, et al.
Published: (2024)

Self-Supervised Contrastive Learning is Approximately Supervised Contrastive Learning
by: Luthra, Achleshwar, et al.
Published: (2025)

xLSTM-PINN: Memory-Gated Spectral Remodeling for Physics-Informed Learning
by: Tao, Ze, et al.
Published: (2025)

RBF-PINN: Non-Fourier Positional Embedding in Physics-Informed Neural Networks
by: Zeng, Chengxi, et al.
Published: (2024)

Learning More with Less: A Generalizable, Self-Supervised Framework for Privacy-Preserving Capacity Estimation with EV Charging Data
by: Arunan, Anushiya, et al.
Published: (2025)