Saved in:
| Main Authors: | Jahed, Younes Ghazagh, Tavana, Seyyed Ali Sadat |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2403.05979 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Learning the symmetric group: large from small
by: Petschack, Max, et al.
Published: (2025)
by: Petschack, Max, et al.
Published: (2025)
Quantum Machine Learning for Secondary Frequency Control
by: Jahed, Younes Ghazagh, et al.
Published: (2025)
by: Jahed, Younes Ghazagh, et al.
Published: (2025)
Learning inducing points and uncertainty on molecular data by scalable variational Gaussian processes
by: Tsitsvero, Mikhail, et al.
Published: (2022)
by: Tsitsvero, Mikhail, et al.
Published: (2022)
Leveraging Surplus Electricity: Profitability of Bitcoin Mining as a National Strategy in South Korea
by: Choi, Yoonseul, et al.
Published: (2025)
by: Choi, Yoonseul, et al.
Published: (2025)
Evolving Ranking Functions for Canonical Blow-Ups in Positive Characteristic
by: Bérczi, Gergely
Published: (2026)
by: Bérczi, Gergely
Published: (2026)
Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
by: Cooley, Madison, et al.
Published: (2024)
by: Cooley, Madison, et al.
Published: (2024)
Enhancing classification accuracy through chaos
by: Stinis, Panos
Published: (2026)
by: Stinis, Panos
Published: (2026)
EdgeMark: An Automation and Benchmarking System for Embedded Artificial Intelligence Tools
by: Hasanpour, Mohammad Amin, et al.
Published: (2025)
by: Hasanpour, Mohammad Amin, et al.
Published: (2025)
A Systematic Evaluation of Knowledge Graph Embeddings for Gene-Disease Association Prediction
by: Canastra, Catarina, et al.
Published: (2025)
by: Canastra, Catarina, et al.
Published: (2025)
Continuous Sweep for Binary Quantification Learning
by: Kloos, Kevin, et al.
Published: (2023)
by: Kloos, Kevin, et al.
Published: (2023)
Performance Insights-based AI-driven Football Transfer Fee Prediction
by: Sulimov, Daniil
Published: (2024)
by: Sulimov, Daniil
Published: (2024)
Algebraic Complexity and Neurovariety of Linear Convolutional Networks
by: Shahverdi, Vahid
Published: (2024)
by: Shahverdi, Vahid
Published: (2024)
Computing Optimal Transport Maps and Wasserstein Barycenters Using Conditional Normalizing Flows
by: Visentin, Gabriele, et al.
Published: (2025)
by: Visentin, Gabriele, et al.
Published: (2025)
A survey and taxonomy of methods interpreting random forest models
by: Haddouchi, Maissae, et al.
Published: (2024)
by: Haddouchi, Maissae, et al.
Published: (2024)
How much data do you need? Part 2: Predicting DL class specific training dataset sizes
by: Mühlenstädt, Thomas, et al.
Published: (2024)
by: Mühlenstädt, Thomas, et al.
Published: (2024)
Good Things Come in Pairs: Paired Autoencoders for Inverse Problems
by: Chung, Matthias, et al.
Published: (2025)
by: Chung, Matthias, et al.
Published: (2025)
Associativity-Peakiness Metric for Contingency Tables
by: Zirkind, Naomi E., et al.
Published: (2026)
by: Zirkind, Naomi E., et al.
Published: (2026)
BERTology of Molecular Property Prediction
by: Mostafanejad, Mohammad, et al.
Published: (2026)
by: Mostafanejad, Mohammad, et al.
Published: (2026)
Hammer and Anvil: Toward a Theory of Backdoors in Federated Learning
by: Fenaux, Lucas, et al.
Published: (2025)
by: Fenaux, Lucas, et al.
Published: (2025)
Robust Koopman Control Barrier Filters for Safe Actor-Critic Reinforcement Learning
by: Kushwaha, Dhruv S., et al.
Published: (2026)
by: Kushwaha, Dhruv S., et al.
Published: (2026)
Convergence Dynamics and Stabilization Strategies of Co-Evolving Generative Models
by: Gao, Weiguo, et al.
Published: (2025)
by: Gao, Weiguo, et al.
Published: (2025)
Convergence proofs and strong error bounds for forward-backward stochastic differential equations using neural network simulations
by: Sheridan-Methven, Oliver
Published: (2024)
by: Sheridan-Methven, Oliver
Published: (2024)
S$^2$GPT-PINNs: Sparse and Small models for PDEs
by: Ji, Yajie, et al.
Published: (2025)
by: Ji, Yajie, et al.
Published: (2025)
Advances in Set Function Learning: A Survey of Techniques and Applications
by: Xie, Jiahao, et al.
Published: (2025)
by: Xie, Jiahao, et al.
Published: (2025)
Quantum-Inspired Reinforcement Learning in the Presence of Epistemic Ambivalence
by: Habibi, Alireza, et al.
Published: (2025)
by: Habibi, Alireza, et al.
Published: (2025)
A Sparse Tensor Generator with Efficient Feature Extraction
by: Torun, Tugba, et al.
Published: (2024)
by: Torun, Tugba, et al.
Published: (2024)
The limit of human intelligence
by: Acharjee, Santanu, et al.
Published: (2023)
by: Acharjee, Santanu, et al.
Published: (2023)
Generalization Bounds and Statistical Guarantees for Multi-Task and Multiple Operator Learning with MNO Networks
by: Weihs, Adrien, et al.
Published: (2026)
by: Weihs, Adrien, et al.
Published: (2026)
PatternBoost: Constructions in Mathematics with a Little Help from AI
by: Charton, François, et al.
Published: (2024)
by: Charton, François, et al.
Published: (2024)
Calibrated Explanations for Regression
by: Löfström, Tuwe, et al.
Published: (2023)
by: Löfström, Tuwe, et al.
Published: (2023)
Neural Bradley-Terry Rating: Quantifying Properties from Comparisons
by: Fujii, Satoru
Published: (2023)
by: Fujii, Satoru
Published: (2023)
PTOPOFL: Privacy-Preserving Personalised Federated Learning via Persistent Homology
by: Vomo-Donfack, Kelly L, et al.
Published: (2026)
by: Vomo-Donfack, Kelly L, et al.
Published: (2026)
An Open-Source Tool for Classification Models in Resource-Constrained Hardware
by: da Silva, Lucas Tsutsui, et al.
Published: (2021)
by: da Silva, Lucas Tsutsui, et al.
Published: (2021)
Kernels of Selfhood: GPT-4o shows humanlike patterns of cognitive consistency moderated by free choice
by: Lehr, Steven A., et al.
Published: (2025)
by: Lehr, Steven A., et al.
Published: (2025)
Predicting Memory Demands of BDD Operations using Maximum Graph Cuts (Extended Paper)
by: Sølvsten, Steffan Christ, et al.
Published: (2023)
by: Sølvsten, Steffan Christ, et al.
Published: (2023)
Deep Unrolling Networks with Recurrent Momentum Acceleration for Nonlinear Inverse Problems
by: Zhou, Qingping, et al.
Published: (2023)
by: Zhou, Qingping, et al.
Published: (2023)
Sub-Token Routing in LoRA for Adaptation and Query-Aware KV Compression
by: Jiang, Wei, et al.
Published: (2026)
by: Jiang, Wei, et al.
Published: (2026)
Neural Network Approximation: A View from Polytope Decomposition
by: Li, ZeYu, et al.
Published: (2026)
by: Li, ZeYu, et al.
Published: (2026)
The Veracity Problem: Detecting False Information and its Propagation on Online Social Media Networks
by: Condran, Sarah
Published: (2024)
by: Condran, Sarah
Published: (2024)
Infinite-Dimensional Diffusion Models
by: Pidstrigach, Jakiw, et al.
Published: (2023)
by: Pidstrigach, Jakiw, et al.
Published: (2023)
Similar Items
-
Learning the symmetric group: large from small
by: Petschack, Max, et al.
Published: (2025) -
Quantum Machine Learning for Secondary Frequency Control
by: Jahed, Younes Ghazagh, et al.
Published: (2025) -
Learning inducing points and uncertainty on molecular data by scalable variational Gaussian processes
by: Tsitsvero, Mikhail, et al.
Published: (2022) -
Leveraging Surplus Electricity: Profitability of Bitcoin Mining as a National Strategy in South Korea
by: Choi, Yoonseul, et al.
Published: (2025) -
Evolving Ranking Functions for Canonical Blow-Ups in Positive Characteristic
by: Bérczi, Gergely
Published: (2026)