Regularized GLISp for sensor-guided human-in-the-loop optimization
Fuente:
arXiv
Saved in:
| Main Authors: | Cercola, Matteo, Lomuscio, Michele, Piga, Dario, Formentin, Simone |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Efficient Reinforcement Learning from Human Feedback via Bayesian Preference Inference
by: Cercola, Matteo, et al.
Published: (2025)
by: Cercola, Matteo, et al.
Published: (2025)
Automating the loop in traffic incident management on highway
by: Cercola, Matteo, et al.
Published: (2025)
by: Cercola, Matteo, et al.
Published: (2025)
Generative design of stabilizing controllers with diffusion models: the Youla approach
by: Cercola, Matteo, et al.
Published: (2025)
by: Cercola, Matteo, et al.
Published: (2025)
Distributionally robust minimization in meta-learning for system identification
by: Rufolo, Matteo, et al.
Published: (2025)
by: Rufolo, Matteo, et al.
Published: (2025)
Enhanced Transformer architecture for in-context learning of dynamical systems
by: Rufolo, Matteo, et al.
Published: (2024)
by: Rufolo, Matteo, et al.
Published: (2024)
Tightening the Evaluation of PAC Bounds Using Formal Verification Results
by: Walker, Thomas, et al.
Published: (2024)
by: Walker, Thomas, et al.
Published: (2024)
Manifold meta-learning for reduced-complexity neural system identification
by: Forgione, Marco, et al.
Published: (2025)
by: Forgione, Marco, et al.
Published: (2025)
Model order reduction of deep structured state-space models: A system-theoretic approach
by: Forgione, Marco, et al.
Published: (2024)
by: Forgione, Marco, et al.
Published: (2024)
Bias correction and instrumental variables for direct data-driven model-reference control
by: Mejari, Manas, et al.
Published: (2024)
by: Mejari, Manas, et al.
Published: (2024)
Automatic dimensionality reduction of Twin-in-the-Loop Observers
by: Delcaro, Giacomo, et al.
Published: (2024)
by: Delcaro, Giacomo, et al.
Published: (2024)
dynoGP: Deep Gaussian Processes for dynamic system identification
by: Benavoli, Alessio, et al.
Published: (2025)
by: Benavoli, Alessio, et al.
Published: (2025)
Synthetic data generation for system identification: leveraging knowledge transfer from similar systems
by: Piga, Dario, et al.
Published: (2024)
by: Piga, Dario, et al.
Published: (2024)
Explainable data-driven modeling via mixture of experts: towards effective blending of grey and black-box models
by: Leoni, Jessica, et al.
Published: (2024)
by: Leoni, Jessica, et al.
Published: (2024)
Out-of-Distribution Detection using Counterfactual Distance
by: Stoica, Maria, et al.
Published: (2025)
by: Stoica, Maria, et al.
Published: (2025)
One controller to rule them all
by: Busetto, Riccardo, et al.
Published: (2024)
by: Busetto, Riccardo, et al.
Published: (2024)
Verification of Neural Networks against Convolutional Perturbations via Parameterised Kernels
by: Brückner, Benedikt, et al.
Published: (2024)
by: Brückner, Benedikt, et al.
Published: (2024)
Learning Low-Dimensional Embeddings for Black-Box Optimization
by: Busetto, Riccardo, et al.
Published: (2025)
by: Busetto, Riccardo, et al.
Published: (2025)
The Duality of Generative AI and Reinforcement Learning in Robotics: A Review
by: Moroncelli, Angelo, et al.
Published: (2024)
by: Moroncelli, Angelo, et al.
Published: (2024)
Machine learning-based optimization workflow of the homogeneity of spunbond nonwovens with human validation
by: Victor, Viny Saajan, et al.
Published: (2024)
by: Victor, Viny Saajan, et al.
Published: (2024)
Latent Spectral Regularization for Continual Learning
by: Frascaroli, Emanuele, et al.
Published: (2023)
by: Frascaroli, Emanuele, et al.
Published: (2023)
BenchCloudVision: A Benchmark Analysis of Deep Learning Approaches for Cloud Detection and Segmentation in Remote Sensing Imagery
by: Fabio, Loddo, et al.
Published: (2024)
by: Fabio, Loddo, et al.
Published: (2024)
Likelihood-guided Regularization in Attention Based Models
by: Salem, Mohamed, et al.
Published: (2025)
by: Salem, Mohamed, et al.
Published: (2025)
In-Context Learning for Zero-Shot Speed Estimation of BLDC motors
by: Colombo, Alessandro, et al.
Published: (2025)
by: Colombo, Alessandro, et al.
Published: (2025)
Geophysical inverse problems with measurement-guided diffusion models
by: Ravasi, Matteo
Published: (2025)
by: Ravasi, Matteo
Published: (2025)
LightCPPgen: An Explainable Machine Learning Pipeline for Rational Design of Cell Penetrating Peptides
by: Maroni, Gabriele, et al.
Published: (2024)
by: Maroni, Gabriele, et al.
Published: (2024)
Quantization-Aware Regularizers for Deep Neural Networks Compression
by: Malchiodi, Dario, et al.
Published: (2026)
by: Malchiodi, Dario, et al.
Published: (2026)
Surrogate-guided optimization in quantum networks
by: Prielinger, Luise, et al.
Published: (2024)
by: Prielinger, Luise, et al.
Published: (2024)
Strong convexity-guided hyper-parameter optimization for flatter losses
by: Yedida, Rahul, et al.
Published: (2024)
by: Yedida, Rahul, et al.
Published: (2024)
Spurious Correlations in High Dimensional Regression: The Roles of Regularization, Simplicity Bias and Over-Parameterization
by: Bombari, Simone, et al.
Published: (2025)
by: Bombari, Simone, et al.
Published: (2025)
Constrained optimization of sensor placement for nuclear digital twins
by: Karnik, Niharika, et al.
Published: (2023)
by: Karnik, Niharika, et al.
Published: (2023)
A physics-driven sensor placement optimization methodology for temperature field reconstruction
by: Liu, Xu, et al.
Published: (2024)
by: Liu, Xu, et al.
Published: (2024)
Early learning of the optimal constant solution in neural networks and humans
by: Rubruck, Jirko, et al.
Published: (2024)
by: Rubruck, Jirko, et al.
Published: (2024)
Learning a Gaussian Mixture for Sparsity Regularization in Inverse Problems
by: Alberti, Giovanni S., et al.
Published: (2024)
by: Alberti, Giovanni S., et al.
Published: (2024)
Deep learning-guided evolutionary optimization for protein design
by: Hartman, Erik, et al.
Published: (2026)
by: Hartman, Erik, et al.
Published: (2026)
SMLE: Safe Machine Learning via Embedded Overapproximation
by: Francobaldi, Matteo, et al.
Published: (2024)
by: Francobaldi, Matteo, et al.
Published: (2024)
$\boldsymbolλ$-Orthogonality Regularization for Compatible Representation Learning
by: Ricci, Simone, et al.
Published: (2025)
by: Ricci, Simone, et al.
Published: (2025)
Density-Informed VAE (DiVAE): Reliable Log-Prior Probability via Density Alignment Regularization
by: Alessi, Michele, et al.
Published: (2025)
by: Alessi, Michele, et al.
Published: (2025)
Expressive Losses for Verified Robustness via Convex Combinations
by: De Palma, Alessandro, et al.
Published: (2023)
by: De Palma, Alessandro, et al.
Published: (2023)
Regularized second-order optimization of tensor-network Born machines
by: Ben-Dov, Matan, et al.
Published: (2025)
by: Ben-Dov, Matan, et al.
Published: (2025)
Verification of Geometric Robustness of Neural Networks via Piecewise Linear Approximation and Lipschitz Optimisation
by: Batten, Ben, et al.
Published: (2024)
by: Batten, Ben, et al.
Published: (2024)
Similar Items
-
Efficient Reinforcement Learning from Human Feedback via Bayesian Preference Inference
by: Cercola, Matteo, et al.
Published: (2025) -
Automating the loop in traffic incident management on highway
by: Cercola, Matteo, et al.
Published: (2025) -
Generative design of stabilizing controllers with diffusion models: the Youla approach
by: Cercola, Matteo, et al.
Published: (2025) -
Distributionally robust minimization in meta-learning for system identification
by: Rufolo, Matteo, et al.
Published: (2025) -
Enhanced Transformer architecture for in-context learning of dynamical systems
by: Rufolo, Matteo, et al.
Published: (2024)