:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Meek, Austin, Mendoza-Cardenas, Carlos H., Brockmeier, Austin J.
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2509.01721
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Measuring Chain-of-Thought Monitorability Through Faithfulness and Verbosity
by: Meek, Austin, et al.
Published: (2025)

Anomaly Detection via Autoencoder Composite Features and NCE
by: Liao, Yalin, et al.
Published: (2025)

Patch2Loc: Learning to Localize Patches for Unsupervised Brain Lesion Detection
by: Baker, Hassan, et al.
Published: (2025)

Contrastive Learning to Fine-Tune Feature Extraction Models for the Visual Cortex
by: Mulrooney, Alex, et al.
Published: (2024)

A Systematic Analysis of Out-of-Distribution Detection Under Representation and Training Paradigm Shifts
by: Olivares, Claudio César Claros, et al.
Published: (2025)

Weakly Supervised Object Segmentation by Background Conditional Divergence
by: Baker, Hassan, et al.
Published: (2025)

Quantifying Feature Space Universality Across Large Language Models via Sparse Autoencoders
by: Lan, Michael, et al.
Published: (2024)

Automatic EEG Independent Component Classification Using ICLabel in Python
by: Delorme, Arnaud, et al.
Published: (2024)

Generative Principal Component Regression via Variational Inference
by: Talbot, Austin, et al.
Published: (2024)

Inducing Human-like Biases in Moral Reasoning Language Models
by: Karpov, Artem, et al.
Published: (2024)

Differentiable Cost-Parameterized Monge Map Estimators
by: Howard, Samuel, et al.
Published: (2024)

Calpric: Inclusive and Fine-grain Labeling of Privacy Policies with Crowdsourcing and Active Learning
by: Qiu, Wenjun, et al.
Published: (2024)

Stability of the Monge Map in Semi-Dual Optimal Transport
by: Selitskiy, Anton, et al.
Published: (2026)

CAK: Emergent Audio Effects from Minimal Deep Learning
by: Rockman, Austin
Published: (2025)

PBSCR: The Piano Bootleg Score Composer Recognition Dataset
by: Jain, Arhan, et al.
Published: (2024)

Hash Collisions in Molecular Fingerprints: Effects on Property Prediction and Bayesian Optimization
by: Virany, Walter, et al.
Published: (2025)

EEG-GMACN: Interpretable EEG Graph Mutual Attention Convolutional Network
by: Ye, Haili, et al.
Published: (2024)

Spatiotemporal Convolutions on EEG signal -- A Representation Learning Perspective on Efficient and Explainable EEG Classification with Convolutional Neural Nets
by: Dixen, Laurits, et al.
Published: (2026)

On Procrustes Contamination in Machine Learning Applications of Geometric Morphometrics
by: Courtenay, Lloyd Austin
Published: (2026)

Independent Component Analysis by Robust Distance Correlation
by: Leyder, Sarah, et al.
Published: (2025)

Detecting Batch Heterogeneity via Likelihood Clustering
by: Talbot, Austin, et al.
Published: (2026)

EEG-DLite: Dataset Distillation for Efficient Large EEG Model Training
by: Tang, Yuting, et al.
Published: (2025)

DBConformer: Dual-Branch Convolutional Transformer for EEG Decoding
by: Wang, Ziwei, et al.
Published: (2025)

Fully Explainable Classification Models Using Hyperblocks
by: Snyder, Austin, et al.
Published: (2025)

EEG2GAIT: A Hierarchical Graph Convolutional Network for EEG-based Gait Decoding
by: Fu, Xi, et al.
Published: (2025)

Reinforcement Learning-based Control via Y-wise Affine Neural Networks (YANNs)
by: Braniff, Austin, et al.
Published: (2025)

Reinforcement Learning-based Control via Y-wise Affine Neural Networks: Comparative Case Studies for Chemical Processes
by: Braniff, Austin, et al.
Published: (2026)

Unbalancedness in Neural Monge Maps Improves Unpaired Domain Translation
by: Eyring, Luca, et al.
Published: (2023)

Semantic Structure of Feature Space in Large Language Models
by: Kozlowski, Austin C., et al.
Published: (2026)

Independent Component Discovery in Temporal Count Data
by: Chaussard, Alexandre, et al.
Published: (2026)

Scalable Autoregressive 3D Molecule Generation
by: Cheng, Austin H., et al.
Published: (2025)

HCFT: Hierarchical Convolutional Fusion Transformer for EEG Decoding
by: Zhang, Haodong, et al.
Published: (2026)

Mining Invariance from Nonlinear Multi-Environment Data: Binary Classification
by: Goddard, Austin, et al.
Published: (2024)

Estimating Treatment Effects with Independent Component Analysis
by: Reizinger, Patrik, et al.
Published: (2025)

Quantifying Heterogeneous Ecosystem Services With Multi-Label Soft Classification
by: Tian, Zhihui, et al.
Published: (2024)

Fair-OBNC: Correcting Label Noise for Fairer Datasets
by: Silva, Inês Oliveira e, et al.
Published: (2024)

Efficient Estimation of Unique Components in Independent Component Analysis by Matrix Representation
by: Matsuda, Yoshitatsu, et al.
Published: (2024)

Local-Global Feature Fusion for Subject-Independent EEG Emotion Recognition
by: Zhou, Zheng, et al.
Published: (2026)

Subject-Independent Deep Architecture for EEG-based Motor Imagery Classification
by: Sartipi, Shadi, et al.
Published: (2024)

One-shot Robust Federated Learning of Independent Component Analysis
by: Jin, Dian, et al.
Published: (2025)