Cover Image

Functional Distribution Networks (FDN)

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Haq, Omer
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

EviTrack: Selection over Sampling for Delayed Disambiguation
by: Haq, Omer
Published: (2026)

LatentTrack: Sequential Weight Generation via Latent Filtering
by: Haq, Omer
Published: (2026)

Zero Shot Time Series Forecasting Using Kolmogorov Arnold Networks
by: Bhattacharya, Abhiroop, et al.
Published: (2024)

ReLU Networks as Random Functions: Their Distribution in Probability Space
by: Chaudhari, Shreyas, et al.
Published: (2025)

Deep Neural Networks are Adaptive to Function Regularity and Data Distribution in Approximation and Estimation
by: Liu, Hao, et al.
Published: (2024)

Conformal Prediction for Federated Graph Neural Networks with Missing Neighbor Information
by: Akgül, Ömer Faruk, et al.
Published: (2024)

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network
by: Althunayyan, Muzun, et al.
Published: (2025)

Distributed Gradient Descent for Functional Learning
by: Yu, Zhan, et al.
Published: (2023)

Spectral Embedding via Chebyshev Bases for Robust DeepONet Approximation
by: Abid, Muhammad, et al.
Published: (2025)

Method of Manufactured Learning for Solver-free Training of Neural Operators
by: Sojitra, Arth, et al.
Published: (2025)

Enforcing governing equation constraints in neural PDE solvers via training-free projections
by: Rochman, Omer, et al.
Published: (2025)

Rising Rested MAB with Linear Drift
by: Amichay, Omer, et al.
Published: (2025)

Stabilizing autoregressive forecasts in chaotic systems via multi-rate latent recurrence
by: Dhingra, Mrigank, et al.
Published: (2026)

A Late-Fusion Multimodal AI Framework for Privacy-Preserving Deduplication in National Healthcare Data Environments
by: Ahmed, Mohammed Omer Shakeel
Published: (2026)

Distributed Learning with Discretely Observed Functional Data
by: Liu, Jiading, et al.
Published: (2024)

Functional Linear Regression of Cumulative Distribution Functions
by: Zhang, Qian, et al.
Published: (2022)

Probabilistic Functional Neural Networks
by: Wang, Haixu, et al.
Published: (2025)

Functional-Edged Network Modeling
by: Xu, Haijie, et al.
Published: (2024)

Equivariant Polynomial Functional Networks
by: Vo, Thieu N., et al.
Published: (2024)

Predict-Project-Renoise: Sampling Diffusion Models under Hard Constraints
by: Rochman-Sharabi, Omer, et al.
Published: (2026)

Personalized Reinforcement Learning with a Budget of Policies
by: Ivanov, Dmitry, et al.
Published: (2024)

Uncovering RL Integration in SSL Loss: Objective-Specific Implications for Data-Efficient RL
by: Çağatan, Ömer Veysel, et al.
Published: (2024)

Global convergence of optimized adaptive importance samplers
by: Akyildiz, Ömer Deniz
Published: (2022)

Opening the Black-Box: Symbolic Regression with Kolmogorov-Arnold Networks for Energy Applications
by: Panczyk, Nataly R., et al.
Published: (2025)

Optimizing Sensory Neurons: Nonlinear Attention Mechanisms for Accelerated Convergence in Permutation-Invariant Neural Networks for Reinforcement Learning
by: Muzaffar, Junaid, et al.
Published: (2025)

Distributionally Robust Online Markov Game with Linear Function Approximation
by: Zheng, Zewu, et al.
Published: (2025)

Accelerated Distributional Temporal Difference Learning with Linear Function Approximation
by: Jin, Kaicheng, et al.
Published: (2025)

Boosted Control Functions: Distribution generalization and invariance in confounded models
by: Gnecco, Nicola, et al.
Published: (2023)

Equivariant Neural Functional Networks for Transformers
by: Tran, Viet-Hoang, et al.
Published: (2024)

Probabilistic Circuits for Cumulative Distribution Functions
by: Broadrick, Oliver, et al.
Published: (2024)

Distributed-Order Fractional Graph Operating Network
by: Zhao, Kai, et al.
Published: (2024)

First-order PDES for Graph Neural Networks: Advection And Burgers Equation Models
by: Qu, Yifan, et al.
Published: (2024)

FEDONet : Fourier-Embedded DeepONet for Spectrally Accurate Operator Learning
by: Sojitra, Arth, et al.
Published: (2025)

Learning to Undo: Rollback-Augmented Reinforcement Learning with Reversibility Signals
by: Sorstkins, Andrejs, et al.
Published: (2025)

WLNO: Wavelet-Laplace Neural Operator for Solving Partial Differential Equations
by: Abid, Muhammad, et al.
Published: (2026)

Statistical curriculum learning: An elimination algorithm achieving an oracle risk
by: Cohen, Omer, et al.
Published: (2024)

Mixture-of-Experts for Distributed Edge Computing with Channel-Aware Gating Function
by: Song, Qiuchen, et al.
Published: (2025)

Low-dimensional Functions are Efficiently Learnable under Randomly Biased Distributions
by: Cornacchia, Elisabetta, et al.
Published: (2025)

Provable Risk-Sensitive Distributional Reinforcement Learning with General Function Approximation
by: Chen, Yu, et al.
Published: (2024)

Imbalance-aware Presence-only Loss Function for Species Distribution Modeling
by: Zbinden, Robin, et al.
Published: (2024)