:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Barbu, Adrian, Mou, Hongyu
Format:	Preprint
Published:	2021
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2104.00269
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Training a Two Layer ReLU Network Analytically
by: Barbu, Adrian
Published: (2023)

Feature Selection for Latent Factor Models
by: Kansabanik, Rittwika, et al.
Published: (2024)

A Study of Shape Modeling Against Noise
by: Long, Cheng, et al.
Published: (2024)

Feature Selection with Annealing for Forecasting Financial Time Series
by: Pabuccu, Hakan, et al.
Published: (2023)

Do LLMs Understand Romanian Driving Laws? A Study on Multimodal and Fine-Tuned Question Answering
by: Barbu, Eduard, et al.
Published: (2025)

Scalable Clustering: Large Scale Unsupervised Learning of Gaussian Mixture Models with Outliers
by: Zhou, Yijia, et al.
Published: (2023)

A Novel Framework for Online Supervised Learning with Feature Selection
by: Sun, Lizhe, et al.
Published: (2018)

Do Neural Networks Lose Plasticity in a Gradually Changing World?
by: Liu, Tianhui, et al.
Published: (2026)

iPINNER: An Iterative Physics-Informed Neural Network with Ensemble Kalman Filter
by: Lu, Binghang, et al.
Published: (2025)

NeuZip: Memory-Efficient Training and Inference with Dynamic Compression of Neural Networks
by: Hao, Yongchang, et al.
Published: (2024)

Heterogeneous Hyper-Graph Neural Networks for Context-aware Human Activity Recognition
by: Ge, Wen, et al.
Published: (2024)

Robustness Verifcation in Neural Networks
by: Wurm, Adrian
Published: (2024)

Network of Theseus (like the ship)
by: Subramaniam, Vighnesh, et al.
Published: (2025)

Ginger: An Efficient Curvature Approximation with Linear Complexity for General Neural Networks
by: Hao, Yongchang, et al.
Published: (2024)

On the Probabilistic Learnability of Compact Neural Network Preimage Bounds
by: Marzari, Luca, et al.
Published: (2025)

Checking extracted rules in Neural Networks
by: Wurm, Adrian
Published: (2025)

Compact Neural Network Algorithm for Electrocardiogram Classification
by: Frausto-Avila, Mateo, et al.
Published: (2024)

Equivalent and Compact Representations of Neural Network Controllers With Decision Trees
by: Chang, Kevin, et al.
Published: (2023)

Compact Bayesian Neural Networks via pruned MCMC sampling
by: Deo, Ratneel, et al.
Published: (2025)

A Survey : Neural Networks for AMR-to-Text
by: Hao, Hongyu, et al.
Published: (2022)

Morephy-Net: An Evolutionary Multi-objective Optimization for Replica-Exchange-based Physics-informed Neural Operator Learning Networks
by: Lu, Binghang, et al.
Published: (2025)

A Compact Representation for Bayesian Neural Networks By Removing Permutation Symmetry
by: Xiao, Tim Z., et al.
Published: (2023)

Leveraging Compact Satellite Embeddings and Graph Neural Networks for Large-Scale Poverty Mapping
by: Pettersson, Markus B., et al.
Published: (2025)

Compact Matrix Quantum Group Equivariant Neural Networks
by: Pearce-Crump, Edward
Published: (2023)

Population Transformer: Learning Population-level Representations of Neural Activity
by: Chau, Geeling, et al.
Published: (2024)

DSGNN: A Dual-View Supergrid-Aware Graph Neural Network for Regional Air Quality Estimation
by: Zhang, Xin, et al.
Published: (2024)

Analyzing domain shift when using additional data for the MICCAI KiTS23 Challenge
by: Stoica, George, et al.
Published: (2023)

Compact Artificial Neural Network Models for Predicting Protein Residue -- RNA Base Binding
by: Selitskiy, Stanislav
Published: (2025)

Latent Image and Video Resolution Prediction using Convolutional Neural Networks
by: Kansabanik, Rittwika, et al.
Published: (2024)

Transfer Entropy in Graph Convolutional Neural Networks
by: Moldovan, Adrian, et al.
Published: (2024)

Sample Complexity of Algorithm Selection Using Neural Networks and Its Applications to Branch-and-Cut
by: Cheng, Hongyu, et al.
Published: (2024)

Classification of Polarimetric SAR Images Using Compact Convolutional Neural Networks
by: Ahishali, Mete, et al.
Published: (2020)

Physics-Aligned Canonical Equivariant Fourier Neural Operator under Symmetry-Induced Shifts
by: Xu, Jiaxiao, et al.
Published: (2026)

KV Cache Transform Coding for Compact Storage in LLM Inference
by: Staniszewski, Konrad, et al.
Published: (2025)

Convex Loss Functions for Support Vector Machines (SVMs) and Neural Networks
by: Portera, Filippo
Published: (2026)

Neural-POD: A Plug-and-Play Neural Operator Framework for Infinite-Dimensional Functional Nonlinear Proper Orthogonal Decomposition
by: Mou, Changhong, et al.
Published: (2026)

Enhancing Dropout-based Bayesian Neural Networks with Multi-Exit on FPGA
by: Chen, Hao Mark, et al.
Published: (2024)

Learning Compact Boolean Networks
by: Wang, Shengpu, et al.
Published: (2026)

mPOLICE: Provable Enforcement of Multi-Region Affine Constraints in Deep Neural Networks
by: Ataei, Mohammadmehdi, et al.
Published: (2025)

Reinforcement Learning with Generative Models for Compact Support Sets
by: Schiavone, Nico, et al.
Published: (2024)