Cover Image

FORCE: Feature-Oriented Representation with Clustering and Explanation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mukherjee, Rishav, Thompson, Jeffrey Ahearn
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Applications I.2.6
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Generative and Contrastive Graph Representation Learning
by: Chen, Jiali, et al.
Published: (2025)

Gaussian process-based online health monitoring and fault analysis of lithium-ion battery systems from field data
by: Schaeffer, Joachim, et al.
Published: (2024)

Finding the Sweet Spot: Optimal Data Augmentation Ratio for Imbalanced Credit Scoring Using ADASYN
by: Chia, Luis H.
Published: (2025)

Evaluating Model Explanations without Ground Truth
by: Rawal, Kaivalya, et al.
Published: (2025)

How Reliable and Stable are Explanations of XAI Methods?
by: Ribeiro, José, et al.
Published: (2024)

Contextual Combinatorial Bandits with Changing Action Sets via Gaussian Processes
by: Nika, Andi, et al.
Published: (2021)

Robust Pareto Set Identification with Contaminated Bandit Feedback
by: Korkmaz, İlter Onat, et al.
Published: (2022)

Offline detection of change-points in the mean for stationary graph signals
by: de la Concha, Alejandro, et al.
Published: (2020)

Relevance-driven Input Dropout: an Explanation-guided Regularization Technique
by: Gururaj, Shreyas, et al.
Published: (2025)

Deep Memory Search: A Metaheuristic Approach for Optimizing Heuristic Search
by: Hedar, Abdel-Rahman, et al.
Published: (2024)

Black Box Model Explanations and the Human Interpretability Expectations -- An Analysis in the Context of Homicide Prediction
by: Ribeiro, José, et al.
Published: (2022)

Persona Features Control Emergent Misalignment
by: Wang, Miles, et al.
Published: (2025)

Systematic Feature Design for Cycle Life Prediction of Lithium-Ion Batteries During Formation
by: Rhyu, Jinwook, et al.
Published: (2024)

Graph Attention Network-Based Detection of Autism Spectrum Disorder
by: Kelly, Abigail, et al.
Published: (2026)

Superposition Is Not Necessary: A Mechanistic Interpretability Analysis of Transformer Representations for Time Series Forecasting
by: Yıldırım, Alper
Published: (2026)

Neural Reasoning Networks: Efficient Interpretable Neural Networks With Automatic Textual Explanations
by: Carrow, Stephen, et al.
Published: (2024)

Reasoning Large Language Model Errors Arise from Hallucinating Critical Problem Features
by: Heyman, Alex, et al.
Published: (2025)

What Do World Models Learn in RL? Probing Latent Representations in Learned Environment Simulators
by: Zhang, Xinyu
Published: (2026)

DataRater: Meta-Learned Dataset Curation
by: Calian, Dan A., et al.
Published: (2025)

Enhancing Predictive Accuracy in Tennis: Integrating Fuzzy Logic and CV-GRNN for Dynamic Match Outcome and Player Momentum Analysis
by: Li, Kechen, et al.
Published: (2025)

First-Mover Bias in Gradient Boosting Explanations: Mechanism, Detection, and Resolution
by: Caraker, Drake, et al.
Published: (2026)

LaPro-DTA: Latent Dual-View Drug Representations and Salient Protein Feature Extraction for Generalizable Drug--Target Affinity Prediction
by: Dun, Zihan, et al.
Published: (2026)

Unsupervised Discovery of Clinical Disease Signatures Using Probabilistic Independence
by: Lasko, Thomas A., et al.
Published: (2024)

Bayesian Hierarchical Probabilistic Forecasting of Intraday Electricity Prices
by: Nickelsen, Daniel, et al.
Published: (2024)

Fusion-Based Neural Generalization for Predicting Temperature Fields in Industrial PET Preform Heating
by: Alsheikh, Ahmad, et al.
Published: (2025)

TACO: Tackling Over-correction in Federated Learning with Tailored Adaptive Correction
by: Liu, Weijie, et al.
Published: (2025)

The Lattice Geometry of Neural Network Quantization -- A Short Equivalence Proof of GPTQ and Babai's Algorithm
by: Birnick, Johann
Published: (2025)

Unlearning's Blind Spots: Over-Unlearning and Prototypical Relearning Attack
by: Ha, SeungBum, et al.
Published: (2025)

Residual Reservoir Memory Networks
by: Pinna, Matteo, et al.
Published: (2025)

FreRA: A Frequency-Refined Augmentation for Contrastive Learning on Time Series Classification
by: Tian, Tian, et al.
Published: (2025)

Deep Residual Echo State Networks: exploring residual orthogonal connections in untrained Recurrent Neural Networks
by: Pinna, Matteo, et al.
Published: (2025)

1 bit is all we need: binary normalized neural networks
by: Cabral, Eduardo Lobo Lustoda, et al.
Published: (2025)

Multi-Task Reinforcement Learning with Language-Encoded Gated Policy Networks
by: Arora, Rushiv
Published: (2025)

Approximate Domain Unlearning for Vision-Language Models
by: Kawamura, Kodai, et al.
Published: (2025)

Global-Order GFlowNets
by: Pastor-Pérez, Lluís, et al.
Published: (2025)

Large Language Models as Attribution Regularizers for Efficient Model Training
by: Vukadin, Davor, et al.
Published: (2025)

A Geometric Perspective for High-Dimensional Multiplex Graphs
by: Abdous, Kamel, et al.
Published: (2025)

Evidential Deep Active Learning for Semi-Supervised Classification
by: Zhao, Shenkai, et al.
Published: (2025)

A Practical Approach to using Supervised Machine Learning Models to Classify Aviation Safety Occurrences
by: Siow, Bryan Y.
Published: (2025)

Scaling Offline RL via Efficient and Expressive Shortcut Models
by: Espinosa-Dice, Nicolas, et al.
Published: (2025)