Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Braun, Dan, Taylor, Jordan, Goldowsky-Dill, Nicholas, Sharkey, Lee |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Stochastic Parameter Decomposition
by: Bushnaq, Lucius, et al.
Published: (2025)
by: Bushnaq, Lucius, et al.
Published: (2025)
Identifying Sparsely Active Circuits Through Local Loss Landscape Decomposition
by: Chrisman, Brianna, et al.
Published: (2025)
by: Chrisman, Brianna, et al.
Published: (2025)
The Local Interaction Basis: Identifying Computationally-Relevant and Sparsely Interacting Features in Neural Networks
by: Bushnaq, Lucius, et al.
Published: (2024)
by: Bushnaq, Lucius, et al.
Published: (2024)
Dictionary Learning: The Complexity of Learning Sparse Superposed Features with Feedback
by: Kumar, Akash
Published: (2025)
by: Kumar, Akash
Published: (2025)
Sum-of-Parts: Self-Attributing Neural Networks with End-to-End Learning of Feature Groups
by: You, Weiqiu, et al.
Published: (2023)
by: You, Weiqiu, et al.
Published: (2023)
Improving Dictionary Learning with Gated Sparse Autoencoders
by: Rajamanoharan, Senthooran, et al.
Published: (2024)
by: Rajamanoharan, Senthooran, et al.
Published: (2024)
Bridging the Divide: End-to-End Sequence-Graph Learning
by: Chen, Yuen, et al.
Published: (2025)
by: Chen, Yuen, et al.
Published: (2025)
Unsupervised Feature Selection to Identify Important ICD-10 Codes for Machine Learning: A Case Study on a Coronary Artery Disease Patient Cohort
by: Ghasemi, Peyman, et al.
Published: (2023)
by: Ghasemi, Peyman, et al.
Published: (2023)
End-To-End Learning of Gaussian Mixture Priors for Diffusion Sampler
by: Blessing, Denis, et al.
Published: (2025)
by: Blessing, Denis, et al.
Published: (2025)
Sub-JEPA: Subspace Gaussian Regularization for Stable End-to-End World Models
by: Zhao, Kai, et al.
Published: (2026)
by: Zhao, Kai, et al.
Published: (2026)
End-to-End Learning for Partially-Observed Time Series with PyPOTS
by: Du, Wenjie, et al.
Published: (2026)
by: Du, Wenjie, et al.
Published: (2026)
An End-to-End Learning Approach for Solving Capacitated Location-Routing Problems
by: Miao, Changhao, et al.
Published: (2025)
by: Miao, Changhao, et al.
Published: (2025)
Learning to be Smooth: An End-to-End Differentiable Particle Smoother
by: Younis, Ali, et al.
Published: (2025)
by: Younis, Ali, et al.
Published: (2025)
Learning to Remember: End-to-End Training of Memory Agents for Long-Context Reasoning
by: Zhang, Kehao, et al.
Published: (2026)
by: Zhang, Kehao, et al.
Published: (2026)
An End-to-End Deep Reinforcement Learning Approach for Solving the Traveling Salesman Problem with Drones
by: Zeng, Taihelong, et al.
Published: (2025)
by: Zeng, Taihelong, et al.
Published: (2025)
End-to-End Optimization and Learning of Fair Court Schedules
by: Dinh, My H, et al.
Published: (2024)
by: Dinh, My H, et al.
Published: (2024)
Constraint-Informed Active Learning for End-to-End ACOPF Optimization Proxies
by: Li, Miao, et al.
Published: (2025)
by: Li, Miao, et al.
Published: (2025)
End-to-End Deep Learning for Predicting Metric Space-Valued Outputs
by: Zhou, Yidong, et al.
Published: (2025)
by: Zhou, Yidong, et al.
Published: (2025)
An End-to-End Reinforcement Learning Based Approach for Micro-View Order-Dispatching in Ride-Hailing
by: Yue, Xinlang, et al.
Published: (2024)
by: Yue, Xinlang, et al.
Published: (2024)
DISCO: An End-to-End Bandit Framework for Personalised Discount Allocation
by: Zhang, Jason Shuo, et al.
Published: (2024)
by: Zhang, Jason Shuo, et al.
Published: (2024)
End-to-End Graph-Sequential Representation Learning for Accurate Recommendations
by: Baikalov, Vladimir, et al.
Published: (2024)
by: Baikalov, Vladimir, et al.
Published: (2024)
Relax: Composable Abstractions for End-to-End Dynamic Machine Learning
by: Lai, Ruihang, et al.
Published: (2023)
by: Lai, Ruihang, et al.
Published: (2023)
ClustRecNet: A Novel End-to-End Deep Learning Framework for Clustering Algorithm Recommendation
by: Bakhtyari, Mohammadreza, et al.
Published: (2025)
by: Bakhtyari, Mohammadreza, et al.
Published: (2025)
Spiking Neural Networks for Continuous Control via End-to-End Model-Based Learning
by: Huebotter, Justus, et al.
Published: (2025)
by: Huebotter, Justus, et al.
Published: (2025)
Attack End-to-End Autonomous Driving through Module-Wise Noise
by: Wang, Lu, et al.
Published: (2024)
by: Wang, Lu, et al.
Published: (2024)
Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting
by: Cini, Andrea, et al.
Published: (2023)
by: Cini, Andrea, et al.
Published: (2023)
LEAP: Learnable End-to-End Adaptive Pruning of Large Language Models
by: Mozaffari, Mohammad, et al.
Published: (2026)
by: Mozaffari, Mohammad, et al.
Published: (2026)
End-to-End On-Device Quantization-Aware Training for LLMs at Inference Cost
by: Tan, Qitao, et al.
Published: (2025)
by: Tan, Qitao, et al.
Published: (2025)
D-GRIL: End-to-End Topological Learning with 2-parameter Persistence
by: Mukherjee, Soham, et al.
Published: (2024)
by: Mukherjee, Soham, et al.
Published: (2024)
End-to-End Reinforcement Learning of Curative Curtailment with Partial Measurement Availability
by: Wolf, Hinrikus, et al.
Published: (2024)
by: Wolf, Hinrikus, et al.
Published: (2024)
Towards Resource-Efficient LLMs: End-to-End Energy Accounting of Distillation Pipelines
by: Lambert, Katherine, et al.
Published: (2026)
by: Lambert, Katherine, et al.
Published: (2026)
GPart: End-to-End Isometric Fine-Tuning via Global Parameter Partitioning
by: Mandica, Paolo, et al.
Published: (2026)
by: Mandica, Paolo, et al.
Published: (2026)
RewriteNets: End-to-End Trainable String-Rewriting for Generative Sequence Modeling
by: Vejendla, Harshil
Published: (2026)
by: Vejendla, Harshil
Published: (2026)
EvaDrive: Evolutionary Adversarial Policy Optimization for End-to-End Autonomous Driving
by: Jiao, Siwen, et al.
Published: (2025)
by: Jiao, Siwen, et al.
Published: (2025)
Conditional Rectified Flow-based End-to-End Rapid Seismic Inversion Method
by: Xu, Haofei, et al.
Published: (2026)
by: Xu, Haofei, et al.
Published: (2026)
SoccerDiffusion: Toward Learning End-to-End Humanoid Robot Soccer from Gameplay Recordings
by: Vahl, Florian, et al.
Published: (2025)
by: Vahl, Florian, et al.
Published: (2025)
ImplicitRDP: An End-to-End Visual-Force Diffusion Policy with Structural Slow-Fast Learning
by: Chen, Wendi, et al.
Published: (2025)
by: Chen, Wendi, et al.
Published: (2025)
Sparse Autoencoders Do Not Find Canonical Units of Analysis
by: Leask, Patrick, et al.
Published: (2025)
by: Leask, Patrick, et al.
Published: (2025)
A Unified Theory of Sparse Dictionary Learning in Mechanistic Interpretability: Piecewise Biconvexity and Spurious Minima
by: Tang, Yiming, et al.
Published: (2025)
by: Tang, Yiming, et al.
Published: (2025)
BPQP: A Differentiable Convex Optimization Framework for Efficient End-to-End Learning
by: Pan, Jianming, et al.
Published: (2024)
by: Pan, Jianming, et al.
Published: (2024)
Similar Items
-
Stochastic Parameter Decomposition
by: Bushnaq, Lucius, et al.
Published: (2025) -
Identifying Sparsely Active Circuits Through Local Loss Landscape Decomposition
by: Chrisman, Brianna, et al.
Published: (2025) -
The Local Interaction Basis: Identifying Computationally-Relevant and Sparsely Interacting Features in Neural Networks
by: Bushnaq, Lucius, et al.
Published: (2024) -
Dictionary Learning: The Complexity of Learning Sparse Superposed Features with Feedback
by: Kumar, Akash
Published: (2025) -
Sum-of-Parts: Self-Attributing Neural Networks with End-to-End Learning of Feature Groups
by: You, Weiqiu, et al.
Published: (2023)