Neural Networks Use Distance Metrics
Fuente:
arXiv
Saved in:
| Main Author: | Oursland, Alan |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Interpreting Neural Networks through Mahalanobis Distance
by: Oursland, Alan
Published: (2024)
by: Oursland, Alan
Published: (2024)
Neural Networks Learn Distance Metrics
by: Oursland, Alan
Published: (2025)
by: Oursland, Alan
Published: (2025)
Gradient Descent as Implicit EM in Distance-Based Neural Models
by: Oursland, Alan
Published: (2025)
by: Oursland, Alan
Published: (2025)
Deriving Decoder-Free Sparse Autoencoders from First Principles
by: Oursland, Alan
Published: (2026)
by: Oursland, Alan
Published: (2026)
Metric Learning for Clifford Group Equivariant Neural Networks
by: Ali, Riccardo, et al.
Published: (2024)
by: Ali, Riccardo, et al.
Published: (2024)
Learning Unified Distance Metric for Heterogeneous Attribute Data Clustering
by: Zhang, Yiqun, et al.
Published: (2026)
by: Zhang, Yiqun, et al.
Published: (2026)
Distance-informed Neural Processes
by: Venkataramanan, Aishwarya, et al.
Published: (2025)
by: Venkataramanan, Aishwarya, et al.
Published: (2025)
Graph Neural Networks Use Graphs When They Shouldn't
by: Bechler-Speicher, Maya, et al.
Published: (2023)
by: Bechler-Speicher, Maya, et al.
Published: (2023)
Unsupervised Distance Metric Learning for Anomaly Detection Over Multivariate Time Series
by: Yuan, Hanyang, et al.
Published: (2024)
by: Yuan, Hanyang, et al.
Published: (2024)
Categorical Data Clustering via Value Order Estimated Distance Metric Learning
by: Zhang, Yiqun, et al.
Published: (2024)
by: Zhang, Yiqun, et al.
Published: (2024)
Revisiting Gradient Staleness: Evaluating Distance Metrics for Asynchronous Federated Learning Aggregation
by: Wilhelm, Patrick, et al.
Published: (2026)
by: Wilhelm, Patrick, et al.
Published: (2026)
Measuring What Matters: Intrinsic Distance Preservation as a Robust Metric for Embedding Quality
by: Hart, Steven N., et al.
Published: (2024)
by: Hart, Steven N., et al.
Published: (2024)
Generalized Tree Edit Distance (GTED): A Faithful Evaluation Metric for Statement Autoformalization
by: Liu, Yuntian, et al.
Published: (2025)
by: Liu, Yuntian, et al.
Published: (2025)
Identifying Backdoored Graphs in Graph Neural Network Training: An Explanation-Based Approach with Novel Metrics
by: Downer, Jane, et al.
Published: (2024)
by: Downer, Jane, et al.
Published: (2024)
Towards Metric-Faithful Neural Graph Matching
by: Shivottam, Jyotirmaya, et al.
Published: (2026)
by: Shivottam, Jyotirmaya, et al.
Published: (2026)
Volatility in Certainty (VC): A Metric for Detecting Adversarial Perturbations During Inference in Neural Network Classifiers
by: Hemmati, Vahid, et al.
Published: (2025)
by: Hemmati, Vahid, et al.
Published: (2025)
Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making
by: Myers, Vivek, et al.
Published: (2024)
by: Myers, Vivek, et al.
Published: (2024)
Differentiable Weightless Neural Networks
by: Bacellar, Alan T. L., et al.
Published: (2024)
by: Bacellar, Alan T. L., et al.
Published: (2024)
Developing Distance-Aware, and Evident Uncertainty Quantification in Dynamic Physics-Constrained Neural Networks for Robust Bearing Degradation Estimation
by: Razzaq, Waleed, et al.
Published: (2025)
by: Razzaq, Waleed, et al.
Published: (2025)
A Distance Metric Learning Model Based On Variational Information Bottleneck
by: Zhang, YaoDan, et al.
Published: (2024)
by: Zhang, YaoDan, et al.
Published: (2024)
Graph Edit Distance with General Costs Using Neural Set Divergence
by: Jain, Eeshaan, et al.
Published: (2024)
by: Jain, Eeshaan, et al.
Published: (2024)
Condition Monitoring with Incomplete Data: An Integrated Variational Autoencoder and Distance Metric Framework
by: Ahang, Maryam, et al.
Published: (2024)
by: Ahang, Maryam, et al.
Published: (2024)
Quantitative Evaluation of Quantum/Classical Neural Network Using a Game Solver Metric
by: Kamei, Suzukaze, et al.
Published: (2025)
by: Kamei, Suzukaze, et al.
Published: (2025)
Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers
by: Kapoor, Taniya, et al.
Published: (2025)
by: Kapoor, Taniya, et al.
Published: (2025)
SHAP Distance: An Explainability-Aware Metric for Evaluating the Semantic Fidelity of Synthetic Tabular Data
by: Yu, Ke, et al.
Published: (2025)
by: Yu, Ke, et al.
Published: (2025)
Long-Short Distance Graph Neural Networks and Improved Curriculum Learning for Emotion Recognition in Conversation
by: Li, Xinran, et al.
Published: (2025)
by: Li, Xinran, et al.
Published: (2025)
Distance-Based Tree-Sliced Wasserstein Distance
by: Tran, Hoang V., et al.
Published: (2025)
by: Tran, Hoang V., et al.
Published: (2025)
Supervised Metric Regularization Through Alternating Optimization for Multi-Regime Physics-Informed Neural Networks
by: Spotorno, Enzo Nicolas, et al.
Published: (2026)
by: Spotorno, Enzo Nicolas, et al.
Published: (2026)
Graph Neural Networks for Learning Equivariant Representations of Neural Networks
by: Kofinas, Miltiadis, et al.
Published: (2024)
by: Kofinas, Miltiadis, et al.
Published: (2024)
Novel Deep Neural Network Classifier Characterization Metrics with Applications to Dataless Evaluation
by: Dean, Nathaniel, et al.
Published: (2024)
by: Dean, Nathaniel, et al.
Published: (2024)
The M-factor: A Novel Metric for Evaluating Neural Architecture Search in Resource-Constrained Environments
by: Thudumu, Srikanth, et al.
Published: (2025)
by: Thudumu, Srikanth, et al.
Published: (2025)
Distance-aware Attention Reshaping: Enhance Generalization of Neural Solver for Large-scale Vehicle Routing Problems
by: Wang, Yang, et al.
Published: (2024)
by: Wang, Yang, et al.
Published: (2024)
MahaVar: OOD Detection via Class-wise Mahalanobis Distance Variance under Neural Collapse
by: Kim, Donghwan, et al.
Published: (2026)
by: Kim, Donghwan, et al.
Published: (2026)
From Arithmetic to Logic: The Resilience of Logic and Lookup-Based Neural Networks Under Parameter Bit-Flips
by: Bacellar, Alan T. L., et al.
Published: (2026)
by: Bacellar, Alan T. L., et al.
Published: (2026)
Private Wasserstein Distance
by: Li, Wenqian, et al.
Published: (2024)
by: Li, Wenqian, et al.
Published: (2024)
Commute Graph Neural Networks
by: Zhuo, Wei, et al.
Published: (2024)
by: Zhuo, Wei, et al.
Published: (2024)
Robustness Verifcation in Neural Networks
by: Wurm, Adrian
Published: (2024)
by: Wurm, Adrian
Published: (2024)
Network Interdiction Goes Neural
by: Zhang, Lei, et al.
Published: (2024)
by: Zhang, Lei, et al.
Published: (2024)
Generalizability of Memorization Neural Networks
by: Yu, Lijia, et al.
Published: (2024)
by: Yu, Lijia, et al.
Published: (2024)
Visualizing Neural Network Imagination
by: Wichers, Nevan, et al.
Published: (2024)
by: Wichers, Nevan, et al.
Published: (2024)
Similar Items
-
Interpreting Neural Networks through Mahalanobis Distance
by: Oursland, Alan
Published: (2024) -
Neural Networks Learn Distance Metrics
by: Oursland, Alan
Published: (2025) -
Gradient Descent as Implicit EM in Distance-Based Neural Models
by: Oursland, Alan
Published: (2025) -
Deriving Decoder-Free Sparse Autoencoders from First Principles
by: Oursland, Alan
Published: (2026) -
Metric Learning for Clifford Group Equivariant Neural Networks
by: Ali, Riccardo, et al.
Published: (2024)