:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Lee, Su Hyeong, Ngo, Richard
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2508.14832
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Probabilistic Modeling of Latent Agentic Substructures in Deep Neural Networks
by: Lee, Su Hyeong, et al.
Published: (2025)

Deep Minds and Shallow Probes
by: Lee, Su Hyeong, et al.
Published: (2026)

Efficient Distributed Optimization under Heavy-Tailed Noise
by: Lee, Su Hyeong, et al.
Published: (2025)

Sign Rank Limitations for Inner Product Graph Decoders
by: Lee, Su Hyeong, et al.
Published: (2024)

Missing Data Imputation using Neural Cellular Automata
by: Luu, Tin, et al.
Published: (2025)

Efficient Adaptive Federated Optimization
by: Lee, Su Hyeong, et al.
Published: (2024)

Pre-Defined Sparse Neural Networks with Hardware Acceleration
by: Dey, Sourya, et al.
Published: (2018)

Scaling Laws and Symmetry, Evidence from Neural Force Fields
by: Ngo, Khang, et al.
Published: (2025)

Defining Neural Network Architecture through Polytope Structures of Dataset
by: Lee, Sangmin, et al.
Published: (2024)

Regularized Adaptive Momentum Dual Averaging with an Efficient Inexact Subproblem Solver for Training Structured Neural Network
by: Huang, Zih-Syuan, et al.
Published: (2024)

Cryptographic Backdoor for Neural Networks: Boon and Bane
by: Ngo, Anh Tu, et al.
Published: (2025)

Erasure Coded Neural Network Inference via Fisher Averaging
by: Jhunjhunwala, Divyansh, et al.
Published: (2024)

Forecasting with Deep Learning: Beyond Average of Average of Average Performance
by: Cerqueira, Vitor, et al.
Published: (2024)

The Alignment Problem from a Deep Learning Perspective
by: Ngo, Richard, et al.
Published: (2022)

Hi-SAFE: Hierarchical Secure Aggregation for Lightweight Federated Learning
by: Joo, Hyeong-Gun, et al.
Published: (2025)

Position: Solve Layerwise Linear Models First to Understand Neural Dynamical Phenomena (Neural Collapse, Emergence, Lazy/Rich Regime, and Grokking)
by: Nam, Yoonsoo, et al.
Published: (2025)

Finite-Time Bounds for Average-Reward Fitted Q-Iteration
by: Lee, Jongmin, et al.
Published: (2025)

Consumer-friendly EEG-based Emotion Recognition System: A Multi-scale Convolutional Neural Network Approach
by: Ly, Tri Duc, et al.
Published: (2025)

Personalized Multi-Agent Average Reward TD-Learning via Joint Linear Approximation
by: Wang, Leo Muxing, et al.
Published: (2026)

Revisiting Weight Averaging for Model Merging
by: Choi, Jiho, et al.
Published: (2024)

On Defining Smart Cities using Transformer Neural Networks
by: Khurshudov, Andrei
Published: (2024)

On the Convergence of Federated Averaging under Partial Participation for Over-parameterized Neural Networks
by: Liu, Xin, et al.
Published: (2023)

Sparse Weight Averaging with Multiple Particles for Iterative Magnitude Pruning
by: Choi, Moonseok, et al.
Published: (2023)

How (Not) to Hybridize Neural and Mechanistic Models for Epidemiological Forecasting
by: Su, Yiqi, et al.
Published: (2026)

QUPID: A Partitioned Quantum Neural Network for Anomaly Detection in Smart Grid
by: Ngo, Hoang M., et al.
Published: (2026)

Level Up: Defining and Exploiting Transitional Problems for Curriculum Learning
by: Tang, Zhenwei, et al.
Published: (2026)

FingerNet: EEG Decoding of A Fine Motor Imagery with Finger-tapping Task Based on A Deep Neural Network
by: Go, Young-Min, et al.
Published: (2024)

Machine Learning Optimal Ordering in Global Routing Problems in Semiconductors
by: Choi, Heejin, et al.
Published: (2024)

Self Balancing Neural Network: A Novel Method to Estimate Average Treatment Effect
by: Abdisa, Atomsa Gemechu, et al.
Published: (2025)

Feature Averaging: An Implicit Bias of Gradient Descent Leading to Non-Robustness in Neural Networks
by: Li, Binghui, et al.
Published: (2024)

Global Convergence of Average Reward Constrained MDPs with Neural Critic and General Policy Parameterization
by: Satheesh, Anirudh, et al.
Published: (2026)

E(3)-Equivariant Mesh Neural Networks
by: Trang, Thuan, et al.
Published: (2024)

Class-Wise Federated Averaging for Efficient Personalization
by: Lee, Gyuejeong, et al.
Published: (2024)

Adversarial Graph Neural Network Benchmarks: Towards Practical and Fair Evaluation
by: Ngo, Tran Gia Bao, et al.
Published: (2026)

DeeP-Mod: Deep Dynamic Programming based Environment Modelling using Feature Extraction
by: Child, Chris, et al.
Published: (2025)

On the Eigenvalue Decay Rates of a Class of Neural-Network Related Kernel Functions Defined on General Domains
by: Li, Yicheng, et al.
Published: (2023)

BlockDoor: Blocking Backdoor Based Watermarks in Deep Neural Networks
by: Puah, Yi Hao, et al.
Published: (2024)

Defining and Characterizing Reward Hacking
by: Skalse, Joar, et al.
Published: (2022)

Learning Conditional Averages
by: Bressan, Marco, et al.
Published: (2026)

AverageTime: Enhance Long-Term Time Series Forecasting with Simple Averaging
by: Zhao, Gaoxiang, et al.
Published: (2024)