Saved in:
| Main Authors: | Farzam, Amirhossein, Mobahi, Hossein, Miller, Nolan Andrew, Sernau, Luke |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2603.04127 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Infinite Width Models That Work: Why Feature Learning Doesn't Matter as Much as You Think
by: Sernau, Luke
Published: (2024)
by: Sernau, Luke
Published: (2024)
All Random Features Representations are Equivalent
by: Sernau, Luke, et al.
Published: (2024)
by: Sernau, Luke, et al.
Published: (2024)
Time Matters: Scaling Laws for Any Budget
by: Inbar, Itay, et al.
Published: (2024)
by: Inbar, Itay, et al.
Published: (2024)
On student-teacher deviations in distillation: does it pay to disobey?
by: Nagarajan, Vaishnavh, et al.
Published: (2023)
by: Nagarajan, Vaishnavh, et al.
Published: (2023)
Random Wavelet Features for Graph Kernel Machines
by: de Bassompierre, Valentin, et al.
Published: (2026)
by: de Bassompierre, Valentin, et al.
Published: (2026)
Federated Proximal Optimization for Privacy-Preserving Heart Disease Prediction: A Controlled Simulation Study on Non-IID Clinical Data
by: Asad, Farzam, et al.
Published: (2026)
by: Asad, Farzam, et al.
Published: (2026)
Graph Neural Networks with Feature and Structure Aware Random Walk
by: Zhuo, Wei, et al.
Published: (2021)
by: Zhuo, Wei, et al.
Published: (2021)
POCKET: Pruning Random Convolution Kernels for Time Series Classification from a Feature Selection Perspective
by: Chen, Shaowu, et al.
Published: (2023)
by: Chen, Shaowu, et al.
Published: (2023)
Enhancing Kernel Power K-means: Scalable and Robust Clustering with Random Fourier Features and Possibilistic Method
by: Chen, Yixi, et al.
Published: (2025)
by: Chen, Yixi, et al.
Published: (2025)
GoldenTransformer: A Modular Fault Injection Framework for Transformer Robustness Research
by: Howard, Luke
Published: (2025)
by: Howard, Luke
Published: (2025)
Conditional KRR: Injecting Unpenalized Features into Kernel Methods with Applications to Kernel Thresholding
by: Takhanov, Rustem, et al.
Published: (2026)
by: Takhanov, Rustem, et al.
Published: (2026)
Certified Adversarial Robustness via Partition-based Randomized Smoothing
by: Goli, Hossein, et al.
Published: (2024)
by: Goli, Hossein, et al.
Published: (2024)
Kernel-Free Universum Quadratic Surface Twin Support Vector Machines for Imbalanced Data
by: Moosaei, Hossein, et al.
Published: (2024)
by: Moosaei, Hossein, et al.
Published: (2024)
Transformer Neural Processes - Kernel Regression
by: Jenson, Daniel, et al.
Published: (2024)
by: Jenson, Daniel, et al.
Published: (2024)
Cumulative-Goodness Free-Riding in Forward-Forward Networks: Real, Repairable, but Not Accuracy-Dominant
by: Yousefiramandi, Amirhossein
Published: (2026)
by: Yousefiramandi, Amirhossein
Published: (2026)
Long Context In-Context Compression by Getting to the Gist of Gisting
by: Petrov, Aleksandar, et al.
Published: (2025)
by: Petrov, Aleksandar, et al.
Published: (2025)
SEA: State-Exchange Attention for High-Fidelity Physics Based Transformers
by: Esmati, Parsa, et al.
Published: (2024)
by: Esmati, Parsa, et al.
Published: (2024)
KernelBand: Steering LLM-based Kernel Optimization via Hardware-Aware Multi-Armed Bandits
by: Ran, Dezhi, et al.
Published: (2025)
by: Ran, Dezhi, et al.
Published: (2025)
Uncovering mesa-optimization algorithms in Transformers
by: von Oswald, Johannes, et al.
Published: (2023)
by: von Oswald, Johannes, et al.
Published: (2023)
DREaM: Drug-Drug Relation Extraction via Transfer Learning Method
by: Fata, Ali, et al.
Published: (2025)
by: Fata, Ali, et al.
Published: (2025)
Motor Imagery EEG Signal Classification Using Minimally Random Convolutional Kernel Transform and Hybrid Deep Learning
by: Hwaidi, Jamal, et al.
Published: (2025)
by: Hwaidi, Jamal, et al.
Published: (2025)
Predicting Training Re-evaluation Curves Enables Effective Data Curriculums for LLMs
by: Bergsma, Shane, et al.
Published: (2025)
by: Bergsma, Shane, et al.
Published: (2025)
AgentKernelArena: Generalization-Aware Benchmarking of GPU Kernel Optimization Agents
by: Younesian, Sharareh, et al.
Published: (2026)
by: Younesian, Sharareh, et al.
Published: (2026)
Realism in Action: Anomaly-Aware Diagnosis of Brain Tumors from Medical Images Using YOLOv8 and DeiT
by: Hashemi, Seyed Mohammad Hossein, et al.
Published: (2024)
by: Hashemi, Seyed Mohammad Hossein, et al.
Published: (2024)
Scalable Random Feature Latent Variable Models
by: Li, Ying, et al.
Published: (2024)
by: Li, Ying, et al.
Published: (2024)
Neglected Hessian component explains mysteries in Sharpness regularization
by: Dauphin, Yann N., et al.
Published: (2024)
by: Dauphin, Yann N., et al.
Published: (2024)
Learning in Feature Spaces via Coupled Covariances: Asymmetric Kernel SVD and Nyström method
by: Tao, Qinghua, et al.
Published: (2024)
by: Tao, Qinghua, et al.
Published: (2024)
Task Specific Sharpness Aware O-RAN Resource Management using Multi Agent Reinforcement Learning
by: Lotfi, Fatemeh, et al.
Published: (2025)
by: Lotfi, Fatemeh, et al.
Published: (2025)
Kernel Density Bayesian Inverse Reinforcement Learning
by: Mandyam, Aishwarya, et al.
Published: (2023)
by: Mandyam, Aishwarya, et al.
Published: (2023)
On Double Descent in Reinforcement Learning with LSTD and Random Features
by: Brellmann, David, et al.
Published: (2023)
by: Brellmann, David, et al.
Published: (2023)
Circuits, Features, and Heuristics in Molecular Transformers
by: Varadi, Kristof, et al.
Published: (2025)
by: Varadi, Kristof, et al.
Published: (2025)
Uncertainty-Aware Generative Oversampling Using an Entropy-Guided Conditional Variational Autoencoder
by: Zare, Amirhossein, et al.
Published: (2025)
by: Zare, Amirhossein, et al.
Published: (2025)
Feature Structure Distillation with Centered Kernel Alignment in BERT Transferring
by: Jung, Hee-Jun, et al.
Published: (2022)
by: Jung, Hee-Jun, et al.
Published: (2022)
Comparing Foundation Models using Data Kernels
by: Duderstadt, Brandon, et al.
Published: (2023)
by: Duderstadt, Brandon, et al.
Published: (2023)
Prospector Heads: Generalized Feature Attribution for Large Models & Data
by: Machiraju, Gautam, et al.
Published: (2024)
by: Machiraju, Gautam, et al.
Published: (2024)
Feature-level Interaction Explanations in Multimodal Transformers
by: Kim, Yeji, et al.
Published: (2026)
by: Kim, Yeji, et al.
Published: (2026)
Interpretable Deep Reinforcement Learning for Element-level Bridge Life-cycle Optimization
by: Moayyedi, Seyyed Amirhossein, et al.
Published: (2026)
by: Moayyedi, Seyyed Amirhossein, et al.
Published: (2026)
Graph-Conditioned Mixture of Graph Neural Network Experts for Traffic Forecasting
by: Ghaffari, Amirhossein, et al.
Published: (2026)
by: Ghaffari, Amirhossein, et al.
Published: (2026)
Globalization for Scalable Short-term Load Forecasting
by: Ahmadi, Amirhossein, et al.
Published: (2025)
by: Ahmadi, Amirhossein, et al.
Published: (2025)
Spatially-Aware Transformer for Embodied Agents
by: Cho, Junmo, et al.
Published: (2024)
by: Cho, Junmo, et al.
Published: (2024)
Similar Items
-
Infinite Width Models That Work: Why Feature Learning Doesn't Matter as Much as You Think
by: Sernau, Luke
Published: (2024) -
All Random Features Representations are Equivalent
by: Sernau, Luke, et al.
Published: (2024) -
Time Matters: Scaling Laws for Any Budget
by: Inbar, Itay, et al.
Published: (2024) -
On student-teacher deviations in distillation: does it pay to disobey?
by: Nagarajan, Vaishnavh, et al.
Published: (2023) -
Random Wavelet Features for Graph Kernel Machines
by: de Bassompierre, Valentin, et al.
Published: (2026)