Cover Image

MorphBoost: Self-Organizing Universal Gradient Boosting with Adaptive Tree Morphing

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Kriuk, Boris
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

POSEIDON: Physics-Optimized Seismic Energy Inference and Detection Operating Network
by: Kriuk, Boris, et al.
Published: (2026)

PSTNet: Physically-Structured Turbulence Network
by: Kriuk, Boris, et al.
Published: (2026)

Advancing Eurasia Fire Understanding Through Machine Learning Techniques
by: Kriuk, Boris
Published: (2025)

Hybrid Physics-ML Framework for Pan-Arctic Permafrost Infrastructure Risk at Record 2.9-Million Observation Scale
by: Kriuk, Boris
Published: (2025)

AlphaJet: Automated Conceptual Aircraft Synthesis via Disentangled Generative Priors and Topology-Preserving Evolutionary Search
by: Kriuk, Boris
Published: (2026)

Deep Learning-Driven Approach for Handwritten Chinese Character Classification
by: Kriuk, Boris, et al.
Published: (2024)

ELENA: Epigenetic Learning through Evolved Neural Adaptation
by: Kriuk, Boris, et al.
Published: (2025)

Morph-SSL: Self-Supervision with Longitudinal Morphing to Predict AMD Progression from OCT
by: Chakravarty, Arunava, et al.
Published: (2023)

SynMorph: Generating Synthetic Face Morphing Dataset with Mated Samples
by: Zhang, Haoyu, et al.
Published: (2024)

VoxMorph: Scalable Zero-shot Voice Identity Morphing via Disentangled Embeddings
by: Krishnamurthy, Bharath, et al.
Published: (2026)

RieszBoost: Gradient Boosting for Riesz Regression
by: Lee, Kaitlyn J., et al.
Published: (2025)

ParamBoost: Gradient Boosted Piecewise Cubic Polynomials
by: Salvadé, Nicolas, et al.
Published: (2026)

Condensed Gradient Boosting
by: Emami, Seyedsaman, et al.
Published: (2022)

DiffeoMorph: Learning to Morph 3D Shapes Using Differentiable Agent-Based Simulations
by: Pahng, Seong Ho, et al.
Published: (2025)

Exploration of Incremental Synthetic Non-Morphed Images for Single Morphing Attack Detection
by: Benavente-Rios, David, et al.
Published: (2025)

LoBoost: Fast Model-Native Local Conformal Prediction for Gradient-Boosted Trees
by: Santos, Vagner, et al.
Published: (2026)

Gradient Boosted Risk Scores
by: Georgantas, Costa, et al.
Published: (2026)

On the Convergence of Multicalibration Gradient Boosting
by: Haimovich, Daniel, et al.
Published: (2026)

Gradient Boosting Decision Tree with LSTM for Investment Prediction
by: Yu, Chang, et al.
Published: (2025)

Robust-Multi-Task Gradient Boosting
by: Emami, Seyedsaman, et al.
Published: (2025)

Gradient Boosted Filters For Signal Processing
by: Lopez, Jose A., et al.
Published: (2024)

SecureBoost+: Large Scale and High-Performance Vertical Federated Gradient Boosting Decision Tree
by: Fan, Tao, et al.
Published: (2021)

Gradient Boosting Reinforcement Learning
by: Fuhrer, Benjamin, et al.
Published: (2024)

UTBoost: Gradient Boosted Decision Trees for Uplift Modeling
by: Gao, Junjie, et al.
Published: (2023)

Gradient Regularized Newton Boosting Trees with Global Convergence
by: Zozoulenko, Nikita, et al.
Published: (2026)

Fast-DiM: Towards Fast Diffusion Morphs
by: Blasingame, Zander W., et al.
Published: (2023)

RoboMorph: Evolving Robot Morphology using Large Language Models
by: Qiu, Kevin, et al.
Published: (2024)

RUMBoost: Gradient Boosted Random Utility Models
by: Salvadé, Nicolas, et al.
Published: (2024)

Improving Data Quality with Training Dynamics of Gradient Boosting Decision Trees
by: Ponti, Moacir Antonelli, et al.
Published: (2022)

Gradient Boosting Decision Trees on Medical Diagnosis over Tabular Data
by: Yıldız, A. Yarkın, et al.
Published: (2024)

Treeffuser: Probabilistic Predictions via Conditional Diffusions with Gradient-Boosted Trees
by: Beltran-Velez, Nicolas, et al.
Published: (2024)

Neural Implicit Morphing of Face Images
by: Schardong, Guilherme, et al.
Published: (2023)

Morphing-based Compression for Data-centric ML Pipelines
by: Baunsgaard, Sebastian, et al.
Published: (2025)

Airfoil optimization using Design-by-Morphing with minimized design-space dimensionality
by: Lee, Sangjoon, et al.
Published: (2025)

EvoMorph: Counterfactual Explanations for Continuous Time-Series Extrinsic Regression Applied to Photoplethysmography
by: Ceylan, Mesut, et al.
Published: (2026)

AtlasMorph: Learning conditional deformable templates for brain MRI
by: Rakic, Marianne, et al.
Published: (2025)

SoundMorpher: Perceptually-Uniform Sound Morphing with Diffusion Model
by: Niu, Xinlei, et al.
Published: (2024)

Approximating Optimal Morphing Attacks using Template Inversion
by: Colbois, Laurent, et al.
Published: (2024)

Gradient Boosting Mapping for Dimensionality Reduction and Feature Extraction
by: Patron, Anri, et al.
Published: (2024)

Boosting CVaR Policy Optimization with Quantile Gradients
by: Luo, Yudong, et al.
Published: (2026)