:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Savino, Mary, Lévy-Leduc, Céline, Leconte, Marc, Cochepin, Benoit
Format:	Preprint
Published:	2021
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2110.08111
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A novel approach for estimating functions in the multivariate setting based on an adaptive knot selection for B-splines with an application to a chemical system used in geoscience
by: Savino, Mary E., et al.
Published: (2023)

Predicting the activity of chemical compounds based on machine learning approaches
by: Tu, Do Hoang, et al.
Published: (2023)

Boolean Logic as an Error feedback mechanism
by: Leconte, Louis
Published: (2024)

Physics-informed active learning for accelerating quantum chemical simulations
by: Hou, Yi-Fan, et al.
Published: (2024)

On GNN explanability with activation rules
by: Veyrin-Forrer, Luca, et al.
Published: (2024)

Machine-learning-based multipoint optimization of fluidic injection parameters for improving nozzle performance
by: Yang, Yunjia, et al.
Published: (2024)

Towards an active-learning approach to resource allocation for population-based damage prognosis
by: Tsialiamanis, George, et al.
Published: (2024)

Recommendation of data-free class-incremental learning algorithms by simulating future data
by: Feillet, Eva, et al.
Published: (2024)

ReALLM: A general framework for LLM compression and fine-tuning
by: Leconte, Louis, et al.
Published: (2024)

Centralized vs Decentralized Federated Learning: A trade-off performance analysis
by: Medjadji, Chaimaa, et al.
Published: (2026)

Restarted contractive operators to learn at equilibrium
by: Davy, Leo, et al.
Published: (2025)

FedGlu: A personalized federated learning-based glucose forecasting algorithm for improved performance in glycemic excursion regions
by: Dave, Darpit, et al.
Published: (2024)

Queuing dynamics of asynchronous Federated Learning
by: Leconte, Louis, et al.
Published: (2024)

BOLD: Boolean Logic Deep Learning
by: Nguyen, Van Minh, et al.
Published: (2024)

Generative weather for improved crop model simulations
by: Saikai, Yuji
Published: (2024)

Adaptive traffic signal safety and efficiency improvement by multi objective deep reinforcement learning approach
by: Mirbakhsh, Shahin, et al.
Published: (2024)

Transfer learning for multifidelity simulation-based inference in cosmology
by: Saoulis, Alex A., et al.
Published: (2025)

Physics-based machine learning for mantle convection simulations
by: Agarwal, Siddhant, et al.
Published: (2025)

A multi-task deep learning approach for lane-level pavement performance prediction with segment-level data
by: Wang, Bo, et al.
Published: (2024)

Self-supervised visual learning from interactions with objects
by: Aubret, Arthur, et al.
Published: (2024)

An end-to-end attention-based approach for learning on graphs
by: Buterez, David, et al.
Published: (2024)

Decoding non-invasive brain activity with novel deep-learning approaches
by: Csaky, Richard
Published: (2025)

DEQuify your force field: More efficient simulations using deep equilibrium models
by: Burger, Andreas, et al.
Published: (2025)

Online Frequency Scheduling by Learning Parallel Actions
by: Giovanidis, Anastasios, et al.
Published: (2024)

Deep ensemble graph neural networks for probabilistic cosmic-ray direction and energy reconstruction in autonomous radio arrays
by: Ferrière, Arsène, et al.
Published: (2026)

An improved column-generation-based matheuristic for learning classification trees
by: Patel, Krunal Kishor, et al.
Published: (2023)

PLS-based approach for fair representation learning
by: De-Diego, Elena M., et al.
Published: (2025)

Stochastic parameter reduced-order model based on hybrid machine learning approaches
by: Fang, Cheng, et al.
Published: (2024)

LuxIA: A Lightweight Unitary matriX-based Framework Built on an Iterative Algorithm for Photonic Neural Network Training
by: Carmona, Tzamn Melendez, et al.
Published: (2025)

Reducing self-supervised learning complexity improves weakly-supervised classification performance in computational pathology
by: Lenz, Tim, et al.
Published: (2024)

Non-equilibrium active noise enhances generative memory in diffusion models
by: Behera, Agnish Kumar, et al.
Published: (2024)

A Bayesian Optimization approach for calibrating large-scale activity-based transport models
by: Agriesti, Serio, et al.
Published: (2023)

Holistic Artificial Intelligence in Medicine; improved performance and explainability
by: Petridis, Periklis, et al.
Published: (2025)

Improving the realism of robotic surgery simulation through injection of learning-based estimated errors
by: Barragan, Juan Antonio, et al.
Published: (2024)

Hierarchical deep learning-based adaptive time-stepping scheme for multiscale simulations
by: Hamid, Asif, et al.
Published: (2023)

Design Space Exploration of Approximate Computing Techniques with a Reinforcement Learning Approach
by: Saeedi, Sepide, et al.
Published: (2023)

Evidential uncertainty sampling for active learning
by: Hoarau, Arthur, et al.
Published: (2023)

Does learning the right latent variables necessarily improve in-context learning?
by: Mittal, Sarthak, et al.
Published: (2024)

Explainable reinforcement learning from human feedback to improve alignment
by: Liu, Shicheng, et al.
Published: (2025)

Eluder-based Regret for Stochastic Contextual MDPs
by: Levy, Orin, et al.
Published: (2022)