Cover Image

ShapeBench: A Scalable Benchmark and Diagnostic Suite for Standardized Evaluation in Aerodynamic Shape Optimization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Fazliani, Shaghayegh, Chawla, Krissh, Guo, Jack, Shen, Yiren, Ihme, Matthias, Udell, Madeleine
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

PDE-SHARP: PDE Solver Hybrids through Analysis and Refinement Passes
by: Fazliani, Shaghayegh, et al.
Published: (2025)

Enhancing Physics-Informed Neural Networks Through Feature Engineering
by: Fazliani, Shaghayegh, et al.
Published: (2025)

Turbocharging Gaussian Process Inference with Approximate Sketch-and-Project
by: Rathore, Pratik, et al.
Published: (2025)

PROMISE: Preconditioned Stochastic Optimization Methods by Incorporating Scalable Curvature Estimates
by: Frangella, Zachary, et al.
Published: (2023)

Reinforcement Learning for Accelerated Aerodynamic Shape Optimisation
by: Sobieczky, Florian, et al.
Published: (2025)

Small Gradient Norm Regret for Online Convex Optimization
by: Gao, Wenzhi, et al.
Published: (2026)

Interpretable Prediction and Feature Selection for Survival Analysis
by: Van Ness, Mike, et al.
Published: (2024)

dnamite: A Python Package for Neural Additive Models
by: Van Ness, Mike, et al.
Published: (2025)

Hausdorff measure bound for the nodal sets of Neumann Laplace eigenfunctions
by: Fazliani, Shaghayegh
Published: (2023)

SAPPHIRE: Preconditioned Stochastic Variance Reduction for Faster Large-Scale Statistical Learning
by: Sun, Jingruo, et al.
Published: (2025)

SketchySGD: Reliable Stochastic Optimization via Randomized Curvature Estimates
by: Frangella, Zachary, et al.
Published: (2022)

Adjoint-Based Aerodynamic Shape Optimization with a Manifold Constraint Learned by Diffusion Models
by: Chen, Long, et al.
Published: (2025)

A Multi-fidelity Double-Delta Wing Dataset and Empirical Scaling Laws for GNN-based Aerodynamic Field Surrogate
by: Shen, Yiren, et al.
Published: (2025)

GenBench: A Benchmarking Suite for Systematic Evaluation of Genomic Foundation Models
by: Liu, Zicheng, et al.
Published: (2024)

DNAMite: Interpretable Calibrated Survival Analysis with Discretized Additive Models
by: Van Ness, Mike, et al.
Published: (2024)

SnareNet: Flexible Repair Layers for Neural Networks with Hard Constraints
by: Chu, Ya-Chi, et al.
Published: (2026)

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation
by: Kim, Eunsu, et al.
Published: (2025)

Bench-MFG: A Benchmark Suite for Learning in Stationary Mean Field Games
by: Magnino, Lorenzo, et al.
Published: (2026)

CarBench: A Comprehensive Benchmark for Neural Surrogates on High-Fidelity 3D Car Aerodynamics
by: Elrefaie, Mohamed, et al.
Published: (2025)

Evaluating Artificial Intelligence Algorithms for the Standardization of Transtibial Prosthetic Socket Shape Design
by: Jordaan, C. H. E., et al.
Published: (2025)

LLMs for Cold-Start Cutting Plane Separator Configuration
by: Lawless, Connor, et al.
Published: (2024)

Gradient Methods with Online Scaling
by: Gao, Wenzhi, et al.
Published: (2024)

Gradient Methods with Online Scaling Part I. Theoretical Foundations
by: Gao, Wenzhi, et al.
Published: (2025)

Provable and Practical Online Learning Rate Adaptation with Hypergradient Descent
by: Chu, Ya-Chi, et al.
Published: (2025)

Gradient Methods with Online Scaling Part II. Practical Aspects
by: Chu, Ya-Chi, et al.
Published: (2025)

NeoPhysIx: An Ultra Fast 3D Physical Simulator as Development Tool for AI Algorithms
by: Fischer, Jörn, et al.
Published: (2024)

Challenges in Training PINNs: A Loss Landscape Perspective
by: Rathore, Pratik, et al.
Published: (2024)

Understanding Fixed Predictions via Confined Regions
by: Lawless, Connor, et al.
Published: (2025)

Are Your Generated Instances Truly Useful? GenBench-MILP: A Benchmark Suite for MILP Instance Generation
by: Luo, Yidong, et al.
Published: (2025)

A Benchmarking Framework for AI models in Automotive Aerodynamics
by: Tangsali, Kaustubh, et al.
Published: (2025)

Geometry-Aware Neural Optimizer for Shape Optimization and Inversion
by: Sun, Guoze, et al.
Published: (2026)

PHUDGE: Phi-3 as Scalable Judge
by: Deshwal, Mahesh, et al.
Published: (2024)

Optimizing with Low Budgets: a Comparison on the Black-box Optimization Benchmarking Suite and OpenAI Gym
by: Raponi, Elena, et al.
Published: (2023)

scShapeBench: Discovering geometry from high dimensional scRNAseq data
by: Steindl, Andrew J, et al.
Published: (2026)

A Benchmark Suite for Evaluating Neural Mutual Information Estimators on Unstructured Datasets
by: Lee, Kyungeun, et al.
Published: (2024)

Quantifying Hippocampal Shape Asymmetry in Alzheimer's Disease Using Optimal Shape Correspondences
by: Zhu, Shen, et al.
Published: (2023)

AeroJEPA: Learning Semantic Latent Representations for Scalable 3D Aerodynamic Field Modeling
by: Giral, Francisco, et al.
Published: (2026)

Leveraging Ensemble-Based Semi-Supervised Learning for Illicit Account Detection in Ethereum DeFi Transactions
by: Fazliani, Shabnam, et al.
Published: (2024)

Radius-Guided Post-Clustering for Shape-Aware, Scalable Refinement of k-Means Results
by: Kober, Stefan
Published: (2025)

Shape Derivative-Informed Neural Operators with Application to Risk-Averse Shape Optimization
by: Gong, Xindi, et al.
Published: (2026)