COMponent-Aware Pruning for Accelerated Control Tasks in Latent Space Models
Fuente:
arXiv
Saved in:
| Main Authors: | Sundaram, Ganesh, Ulmen, Jonas, Haider, Amjad, Görges, Daniel |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Application-Specific Component-Aware Structured Pruning of Deep Neural Networks in Control via Soft Coefficient Optimization
by: Sundaram, Ganesh, et al.
Published: (2025)
by: Sundaram, Ganesh, et al.
Published: (2025)
Component-Aware Pruning Framework for Neural Network Controllers via Gradient-Based Importance Estimation
by: Sundaram, Ganesh, et al.
Published: (2026)
by: Sundaram, Ganesh, et al.
Published: (2026)
Enhanced Pruning Strategy for Multi-Component Neural Architectures Using Component-Aware Graph Analysis
by: Sundaram, Ganesh, et al.
Published: (2025)
by: Sundaram, Ganesh, et al.
Published: (2025)
A Latent Space Framework for Modeling Transient Engine Emissions Using Joint Embedding Predictive Architectures
by: Sundaram, Ganesh, et al.
Published: (2026)
by: Sundaram, Ganesh, et al.
Published: (2026)
Learning State-Space Models of Dynamic Systems from Arbitrary Data using Joint Embedding Predictive Architectures
by: Ulmen, Jonas, et al.
Published: (2025)
by: Ulmen, Jonas, et al.
Published: (2025)
Input-to-State Stable Coupled Oscillator Networks for Closed-form Model-based Control in Latent Space
by: Stölzle, Maximilian, et al.
Published: (2024)
by: Stölzle, Maximilian, et al.
Published: (2024)
Barrier Method for Inequality Constrained Factor Graph Optimization with Application to Model Predictive Control
by: Abdelkarim, Anas, et al.
Published: (2025)
by: Abdelkarim, Anas, et al.
Published: (2025)
Task and Domain Adaptive Reinforcement Learning for Robot Control
by: Liu, Yu Tang, et al.
Published: (2024)
by: Liu, Yu Tang, et al.
Published: (2024)
Confidence-Aware Decision-Making and Control for Tool Selection
by: Meera, Ajith Anil, et al.
Published: (2024)
by: Meera, Ajith Anil, et al.
Published: (2024)
Generative Predictive Control: Flow Matching Policies for Dynamic and Difficult-to-Demonstrate Tasks
by: Kurtz, Vince, et al.
Published: (2025)
by: Kurtz, Vince, et al.
Published: (2025)
Inferring Implicit Goals Across Differing Task Models
by: Tulli, Silvia, et al.
Published: (2025)
by: Tulli, Silvia, et al.
Published: (2025)
Refinement of Accelerated Demonstrations via Incremental Iterative Reference Learning Control for Fast Contact-Rich Imitation Learning
by: Yamane, Koki, et al.
Published: (2026)
by: Yamane, Koki, et al.
Published: (2026)
Polygonal Obstacle Avoidance Combining Model Predictive Control and Fuzzy Logic
by: Schröder, Michael, et al.
Published: (2025)
by: Schröder, Michael, et al.
Published: (2025)
Trajectory Planning with Model Predictive Control for Obstacle Avoidance Considering Prediction Uncertainty
by: Schöneberg, Eric, et al.
Published: (2025)
by: Schöneberg, Eric, et al.
Published: (2025)
Meta-Control: Automatic Model-based Control Synthesis for Heterogeneous Robot Skills
by: Wei, Tianhao, et al.
Published: (2024)
by: Wei, Tianhao, et al.
Published: (2024)
RL + Model-based Control: Using On-demand Optimal Control to Learn Versatile Legged Locomotion
by: Kang, Dongho, et al.
Published: (2023)
by: Kang, Dongho, et al.
Published: (2023)
Model-Based Diffusion Sampling for Predictive Control in Offline Decision Making
by: Balim, Haldun, et al.
Published: (2025)
by: Balim, Haldun, et al.
Published: (2025)
Learning-Based Approximate Nonlinear Model Predictive Control Motion Cueing
by: Arango, Camilo Gonzalez, et al.
Published: (2025)
by: Arango, Camilo Gonzalez, et al.
Published: (2025)
Safe Adaptive Cruise Control Under Perception Uncertainty: A Deep Ensemble and Conformal Tube Model Predictive Control Approach
by: Li, Xiao, et al.
Published: (2024)
by: Li, Xiao, et al.
Published: (2024)
Bayesian Optimization for Automatic Tuning of Torque-Level Nonlinear Model Predictive Control
by: Fadini, Gabriele, et al.
Published: (2025)
by: Fadini, Gabriele, et al.
Published: (2025)
Model Predictive Control for Crowd Navigation via Learning-Based Trajectory Prediction
by: Aslam, Mohamed Parvez, et al.
Published: (2025)
by: Aslam, Mohamed Parvez, et al.
Published: (2025)
Integration of Large Language Models in Control of EHD Pumps for Precise Color Synthesis
by: Peng, Yanhong, et al.
Published: (2024)
by: Peng, Yanhong, et al.
Published: (2024)
Shape-Interpretable Visual Self-Modeling Enables Geometry-Aware Continuum Robot Control
by: Yu, Peng, et al.
Published: (2026)
by: Yu, Peng, et al.
Published: (2026)
Uncertainty-Aware DRL for Autonomous Vehicle Crowd Navigation in Shared Space
by: Golchoubian, Mahsa, et al.
Published: (2024)
by: Golchoubian, Mahsa, et al.
Published: (2024)
Model Predictive Control of Hybrid Dynamical Systems
by: Sanfelice, Ricardo G., et al.
Published: (2026)
by: Sanfelice, Ricardo G., et al.
Published: (2026)
LLMs-guided adaptive compensator: Bringing Adaptivity to Automatic Control Systems with Large Language Models
by: Zhou, Zhongchao, et al.
Published: (2025)
by: Zhou, Zhongchao, et al.
Published: (2025)
A Tricycle Model to Accurately Control an Autonomous Racecar with Locked Differential
by: Raji, Ayoub, et al.
Published: (2023)
by: Raji, Ayoub, et al.
Published: (2023)
ecg2o: A Seamless Extension of g2o for Equality-Constrained Factor Graph Optimization
by: Abdelkarim, Anas, et al.
Published: (2025)
by: Abdelkarim, Anas, et al.
Published: (2025)
A Genetic Fuzzy-Enabled Framework on Robotic Manipulation for In-Space Servicing
by: Steffen, Nathan, et al.
Published: (2025)
by: Steffen, Nathan, et al.
Published: (2025)
SCoTT: Strategic Chain-of-Thought Tasking for Wireless-Aware Robot Navigation in Digital Twins
by: Djuhera, Aladin, et al.
Published: (2024)
by: Djuhera, Aladin, et al.
Published: (2024)
Crazyflow: An Accurate, GPU-Accelerated, Differentiable Drone Simulator in JAX
by: Schuck, Martin, et al.
Published: (2026)
by: Schuck, Martin, et al.
Published: (2026)
Modelling, Positioning, and Deep Reinforcement Learning Path Tracking Control of Scaled Robotic Vehicles: Design and Experimental Validation
by: Caponio, Carmine, et al.
Published: (2024)
by: Caponio, Carmine, et al.
Published: (2024)
TMR-VLA:Vision-Language-Action Model for Magnetic Motion Control of Tri-leg Silicone-based Soft Robot
by: Tang, Ruijie, et al.
Published: (2026)
by: Tang, Ruijie, et al.
Published: (2026)
Beyond Conservative Automated Driving in Multi-Agent Scenarios via Coupled Model Predictive Control and Deep Reinforcement Learning
by: Rahmani, Saeed, et al.
Published: (2026)
by: Rahmani, Saeed, et al.
Published: (2026)
Safe Path Planning and Observation Quality Enhancement Strategy for Unmanned Aerial Vehicles in Water Quality Monitoring Tasks
by: Fu, Yuanshuang, et al.
Published: (2025)
by: Fu, Yuanshuang, et al.
Published: (2025)
Energy-Aware Reinforcement Learning for Robotic Manipulation of Articulated Components in Infrastructure Operation and Maintenance
by: Tao, Xiaowen, et al.
Published: (2026)
by: Tao, Xiaowen, et al.
Published: (2026)
Self-Tuning PID Control via a Hybrid Actor-Critic-Based Neural Structure for Quadcopter Control
by: Sharifi, Iman, et al.
Published: (2023)
by: Sharifi, Iman, et al.
Published: (2023)
SIT-LMPC: Safe Information-Theoretic Learning Model Predictive Control for Iterative Tasks
by: Zang, Zirui, et al.
Published: (2026)
by: Zang, Zirui, et al.
Published: (2026)
Scaling Learning based Policy Optimization for Temporal Logic Tasks by Controller Network Dropout
by: Hashemi, Navid, et al.
Published: (2024)
by: Hashemi, Navid, et al.
Published: (2024)
Noise-Aware Generative Microscopic Traffic Simulation
by: Jayawardana, Vindula, et al.
Published: (2025)
by: Jayawardana, Vindula, et al.
Published: (2025)
Similar Items
-
Application-Specific Component-Aware Structured Pruning of Deep Neural Networks in Control via Soft Coefficient Optimization
by: Sundaram, Ganesh, et al.
Published: (2025) -
Component-Aware Pruning Framework for Neural Network Controllers via Gradient-Based Importance Estimation
by: Sundaram, Ganesh, et al.
Published: (2026) -
Enhanced Pruning Strategy for Multi-Component Neural Architectures Using Component-Aware Graph Analysis
by: Sundaram, Ganesh, et al.
Published: (2025) -
A Latent Space Framework for Modeling Transient Engine Emissions Using Joint Embedding Predictive Architectures
by: Sundaram, Ganesh, et al.
Published: (2026) -
Learning State-Space Models of Dynamic Systems from Arbitrary Data using Joint Embedding Predictive Architectures
by: Ulmen, Jonas, et al.
Published: (2025)