Saved in:
| Main Authors: | Audemard, Gilles, Coste-Marquis, Sylvie, Marquis, Pierre, Sabiri, Mehdi, Szczepanski, Nicolas |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2510.18615 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Leveraging Association Rules for Better Predictions and Better Explanations
by: Audemard, Gilles, et al.
Published: (2025)
by: Audemard, Gilles, et al.
Published: (2025)
$Π$-NeSy: A Possibilistic Neuro-Symbolic Approach
by: Baaj, Ismaïl, et al.
Published: (2025)
by: Baaj, Ismaïl, et al.
Published: (2025)
Probabilistic classification from possibilistic data: computing Kullback-Leibler projection with a possibility distribution
by: Baaj, Ismaïl, et al.
Published: (2026)
by: Baaj, Ismaïl, et al.
Published: (2026)
MODE: Multi-Objective Adaptive Coreset Selection
by: Mukherjee, Tanmoy, et al.
Published: (2025)
by: Mukherjee, Tanmoy, et al.
Published: (2025)
Credal Concept Bottleneck Models: Structural Separation of Epistemic and Aleatoric Uncertainty
by: Mukherjee, Tanmoy, et al.
Published: (2026)
by: Mukherjee, Tanmoy, et al.
Published: (2026)
FedSDR: Federated Self-Distillation with Rectification
by: Ren, Ziheng, et al.
Published: (2026)
by: Ren, Ziheng, et al.
Published: (2026)
Annealing Self-Distillation Rectification Improves Adversarial Training
by: Wu, Yu-Yu, et al.
Published: (2023)
by: Wu, Yu-Yu, et al.
Published: (2023)
UTBoost: Gradient Boosted Decision Trees for Uplift Modeling
by: Gao, Junjie, et al.
Published: (2023)
by: Gao, Junjie, et al.
Published: (2023)
Machine learning and machine learned prediction in chest X-ray images
by: Garrett, Shereiff, et al.
Published: (2025)
by: Garrett, Shereiff, et al.
Published: (2025)
SecureBoost+: Large Scale and High-Performance Vertical Federated Gradient Boosting Decision Tree
by: Fan, Tao, et al.
Published: (2021)
by: Fan, Tao, et al.
Published: (2021)
Pocket Foundation Models: Distilling TFMs into CPU-Ready Gradient-Boosted Trees
by: Tanna, Aditya, et al.
Published: (2026)
by: Tanna, Aditya, et al.
Published: (2026)
Dynamic Blocked Clause Elimination for Projected Model Counting
by: Lagniez, Jean-Marie, et al.
Published: (2024)
by: Lagniez, Jean-Marie, et al.
Published: (2024)
Accuracy-Efficiency Trade-Offs in Spiking Neural Networks: A Lempel-Ziv Complexity Perspective on Learning Rules
by: Rudnicka, Zofia, et al.
Published: (2025)
by: Rudnicka, Zofia, et al.
Published: (2025)
Anytime Optimal Decision Tree Learning with Continuous Features
by: Kiossou, Harold, et al.
Published: (2026)
by: Kiossou, Harold, et al.
Published: (2026)
Reason in Chains, Learn in Trees: Self-Rectification and Grafting for Multi-turn Agent Policy Optimization
by: Li, Yu, et al.
Published: (2026)
by: Li, Yu, et al.
Published: (2026)
DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs
by: Ko, Jongwoo, et al.
Published: (2025)
by: Ko, Jongwoo, et al.
Published: (2025)
Geometric Manifold Rectification for Imbalanced Learning
by: Wang, Xubin, et al.
Published: (2026)
by: Wang, Xubin, et al.
Published: (2026)
SPAR: Support-Preserving Action Rectification
by: Zhao, Jiaxin, et al.
Published: (2026)
by: Zhao, Jiaxin, et al.
Published: (2026)
Credal Concept Bottleneck Models for Epistemic-Aleatoric Uncertainty Decomposition
by: Mukherjee, Tanmoy, et al.
Published: (2026)
by: Mukherjee, Tanmoy, et al.
Published: (2026)
Scaling Algorithm Distillation for Continuous Control with Mamba
by: Beaussant, Samuel, et al.
Published: (2025)
by: Beaussant, Samuel, et al.
Published: (2025)
Mode-Dependent Rectification for Stable PPO Training
by: Mohamad, Mohamad, et al.
Published: (2026)
by: Mohamad, Mohamad, et al.
Published: (2026)
Hypernetwork-Conditioned Reinforcement Learning for Robust Control of Fixed-Wing Aircraft under Actuator Failures
by: Marquis, Dennis, et al.
Published: (2026)
by: Marquis, Dennis, et al.
Published: (2026)
Online Policy Distillation with Decision-Attention
by: Yu, Xinqiang, et al.
Published: (2024)
by: Yu, Xinqiang, et al.
Published: (2024)
Multi-Armed Bandits-Based Optimization of Decision Trees
by: Shanto, Hasibul Karim, et al.
Published: (2025)
by: Shanto, Hasibul Karim, et al.
Published: (2025)
I-Segmenter: Integer-Only Vision Transformer for Efficient Semantic Segmentation
by: Sassoon, Jordan, et al.
Published: (2025)
by: Sassoon, Jordan, et al.
Published: (2025)
Localized Forest Fire Risk Prediction: A Department-Aware Approach for Operational Decision Support
by: Caron, Nicolas, et al.
Published: (2025)
by: Caron, Nicolas, et al.
Published: (2025)
Online Gradient Boosting Decision Tree: In-Place Updates for Efficient Adding/Deleting Data
by: Lin, Huawei, et al.
Published: (2025)
by: Lin, Huawei, et al.
Published: (2025)
Efficient Rectification of Neuro-Symbolic Reasoning Inconsistencies by Abductive Reflection
by: Hu, Wen-Chao, et al.
Published: (2024)
by: Hu, Wen-Chao, et al.
Published: (2024)
AdaGMLP: AdaBoosting GNN-to-MLP Knowledge Distillation
by: Lu, Weigang, et al.
Published: (2024)
by: Lu, Weigang, et al.
Published: (2024)
Proceedings of the 2025 XCSP3 Competition
by: Audemard, Gilles, et al.
Published: (2025)
by: Audemard, Gilles, et al.
Published: (2025)
Proceedings of the 2024 XCSP3 Competition
by: Audemard, Gilles, et al.
Published: (2024)
by: Audemard, Gilles, et al.
Published: (2024)
Optimal Decision Tree Policies for Markov Decision Processes
by: Vos, Daniël, et al.
Published: (2023)
by: Vos, Daniël, et al.
Published: (2023)
FORLER: Federated Offline Reinforcement Learning with Q-Ensemble and Actor Rectification
by: Qiao, Nan, et al.
Published: (2026)
by: Qiao, Nan, et al.
Published: (2026)
Interpretable DNA Sequence Classification via Dynamic Feature Generation in Decision Trees
by: Huynh, Nicolas, et al.
Published: (2026)
by: Huynh, Nicolas, et al.
Published: (2026)
Diffusion Boosted Trees
by: Han, Xizewen, et al.
Published: (2024)
by: Han, Xizewen, et al.
Published: (2024)
Minimax Rates and Spectral Distillation for Tree Ensembles
by: Vu, Binh Duc, et al.
Published: (2026)
by: Vu, Binh Duc, et al.
Published: (2026)
IPD: Boosting Sequential Policy with Imaginary Planning Distillation in Offline Reinforcement Learning
by: Qin, Yihao, et al.
Published: (2026)
by: Qin, Yihao, et al.
Published: (2026)
Explanation Quality Assessment as Ranking with Listwise Rewards
by: Bailleux, Thomas, et al.
Published: (2026)
by: Bailleux, Thomas, et al.
Published: (2026)
A Gap Between Decision Trees and Neural Networks
by: Kumar, Akash
Published: (2026)
by: Kumar, Akash
Published: (2026)
Severity Classification of Chronic Obstructive Pulmonary Disease in Intensive Care Units: A Semi-Supervised Approach Using MIMIC-III Dataset
by: Shojaei, Akram, et al.
Published: (2025)
by: Shojaei, Akram, et al.
Published: (2025)
Similar Items
-
Leveraging Association Rules for Better Predictions and Better Explanations
by: Audemard, Gilles, et al.
Published: (2025) -
$Π$-NeSy: A Possibilistic Neuro-Symbolic Approach
by: Baaj, Ismaïl, et al.
Published: (2025) -
Probabilistic classification from possibilistic data: computing Kullback-Leibler projection with a possibility distribution
by: Baaj, Ismaïl, et al.
Published: (2026) -
MODE: Multi-Objective Adaptive Coreset Selection
by: Mukherjee, Tanmoy, et al.
Published: (2025) -
Credal Concept Bottleneck Models: Structural Separation of Epistemic and Aleatoric Uncertainty
by: Mukherjee, Tanmoy, et al.
Published: (2026)