:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Roginek, Eric, Xu, Jingyan, Hsu, D. Frank.
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2603.10049
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Bitcoin Price Prediction using Machine Learning and Combinatorial Fusion Analysis
by: Wu, Yuanhong, et al.
Published: (2026)

epiGPTope: A machine learning-based epitope generator and classifier
by: Manrique, Natalia Flechas, et al.
Published: (2025)

Toward generative machine learning for boosting ensembles of climate simulations
by: Gooya, Parsa, et al.
Published: (2026)

Conditional generation of antibody sequences with classifier-guided germline-absorbing discrete diffusion
by: Sanders, Justin, et al.
Published: (2026)

GradCFA: A Hybrid Gradient-Based Counterfactual and Feature Attribution Explanation Algorithm for Local Interpretation of Neural Networks
by: Sanderson, Jacob, et al.
Published: (2026)

Intriguing properties of generative classifiers
by: Jaini, Priyank, et al.
Published: (2023)

Generative method for aerodynamic optimization based on classifier-free guided denoising diffusion probabilistic model
by: Deng, Shisong, et al.
Published: (2025)

An attempt to generate new bridge types from latent space of energy-based model
by: Zhang, Hongjun
Published: (2024)

Adaptive $k$-nearest neighbor classifier based on the local estimation of the shape operator
by: Levada, Alexandre Luís Magalhães, et al.
Published: (2024)

Layer Embedding Deep Fusion Graph Neural Network
by: Xu, Taihua, et al.
Published: (2026)

Enhancing interpretability of rule-based classifiers through feature graphs
by: Sirocchi, Christel, et al.
Published: (2025)

A comparative study of deep learning and ensemble learning to extend the horizon of traffic forecasting
by: Zheng, Xiao, et al.
Published: (2025)

FuXi-ENS: A machine learning model for medium-range ensemble weather forecasting
by: Zhong, Xiaohui, et al.
Published: (2024)

Deep generative models as an adversarial attack strategy for tabular machine learning
by: Dyrmishi, Salijona, et al.
Published: (2024)

FlexMS is a flexible framework for benchmarking deep learning-based mass spectrum prediction tools in metabolomics
by: Zhong, Yunhua, et al.
Published: (2026)

2D-OOB: Attributing Data Contribution Through Joint Valuation Framework
by: Sun, Yifan, et al.
Published: (2024)

QDeepGR4J: Quantile-based ensemble of deep learning and GR4J hybrid rainfall-runoff models for extreme flow prediction with uncertainty quantification
by: Kapoor, Arpit, et al.
Published: (2025)

Ensemble Elastic DQN: A novel multi-step ensemble approach to address overestimation in deep value-based reinforcement learning
by: Ly, Adrian, et al.
Published: (2025)

A robust three-way classifier with shadowed granular-balls based on justifiable granularity
by: Yang, Jie, et al.
Published: (2024)

Synthetic data in cryptocurrencies using generative models
by: Sousa, André Saimon S., et al.
Published: (2026)

Optimal partition of feature using Bayesian classifier
by: Vishwakarma, Sanjay, et al.
Published: (2023)

Generative ensemble deep learning severe weather prediction from a deterministic convection-allowing model
by: Sha, Yingkai, et al.
Published: (2023)

Arbitrary Time Information Modeling via Polynomial Approximation for Temporal Knowledge Graph Embedding
by: Fang, Zhiyu, et al.
Published: (2024)

Designing a double deep reinforcement learning selection tool for resilient demand prediction
by: Benziane, Bilel Abderrahmane, et al.
Published: (2026)

Agentic reinforcement learning empowers next-generation chemical language models for molecular design and synthesis
by: Li, Hao, et al.
Published: (2026)

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

Exploring Neural Ordinary Differential Equations as Interpretable Healthcare classifiers
by: Li, Shi
Published: (2025)

Causal prompting model-based offline reinforcement learning
by: Yu, Xuehui, et al.
Published: (2024)

Best-of-Tails: Bridging Optimism and Pessimism in Inference-Time Alignment
by: Hsu, Hsiang, et al.
Published: (2026)

Towards modeling evolving longitudinal health trajectories with a transformer-based deep learning model
by: Moen, Hans, et al.
Published: (2024)

Relative Layer-Wise Relevance Propagation: a more Robust Neural Networks eXplaination
by: Nyiri, Eric, et al.
Published: (2025)

Enhancing SDG-Text Classification with Combinatorial Fusion Analysis and Generative AI
by: Xu, Jingyan, et al.
Published: (2026)

From model-based learning to model-free behaviour with Meta-Interpretive Learning
by: Patsantzis, Stassa
Published: (2025)

How adversarial attacks can disrupt seemingly stable accurate classifiers
by: Sutton, Oliver J., et al.
Published: (2023)

HyConEx: Hypernetwork classifier with counterfactual explanations for tabular data
by: Marszałek, Patryk, et al.
Published: (2025)

Mitigating loss of variance in ensemble data assimilation: machine learning-based and distance-free localization
by: Silva, Vinicius L. S., et al.
Published: (2025)

Implementation of tangent linear and adjoint models for neural networks based on a compiler library tool
by: Xiao, Sa, et al.
Published: (2026)

WARP: Guaranteed Inner-Layer Repair of NLP Transformers
by: Hsu, Hsin-Ling, et al.
Published: (2026)

Flow marching for a generative PDE foundation model
by: Chen, Zituo, et al.
Published: (2025)

Chemist-aligned retrosynthesis by ensembling diverse inductive bias models
by: Maziarz, Krzysztof, et al.
Published: (2024)