Cover Image

Fourier Basis Density Model

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	De la Fuente, Alfredo, Singh, Saurabh, Ballé, Johannes
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Discretized Approximate Ancestral Sampling
by: De la Fuente, Alfredo, et al.
Published: (2025)

Fourier Head: Helping Large Language Models Learn Complex Probability Distributions
by: Gillman, Nate, et al.
Published: (2024)

Narrow Operator Models of Stellarator Equilibria in Fourier Zernike Basis
by: Thun, Timo, et al.
Published: (2025)

Latent Stochastic Interpolants
by: Singh, Saurabh, et al.
Published: (2025)

On the Privacy of Selection Mechanisms with Gaussian Noise
by: Lebensold, Jonathan, et al.
Published: (2024)

Stochastic Sampling from Deterministic Flow Models
by: Singh, Saurabh, et al.
Published: (2024)

Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting
by: Yang, Runze, et al.
Published: (2025)

Robust Basis Spline Decoupling for the Compression of Transformer Models
by: De Jonghe, Joppe, et al.
Published: (2026)

Fast Kernel Summation in High Dimensions via Slicing and Fourier Transforms
by: Hertrich, Johannes
Published: (2024)

Basis-to-Basis Operator Learning Using Function Encoders
by: Ingebrand, Tyler, et al.
Published: (2024)

To Shuffle or not to Shuffle: Auditing DP-SGD with Shuffling
by: Annamalai, Meenatchi Sundaram Muthu Selva, et al.
Published: (2024)

A Comparative Study of Deep Reinforcement Learning Models: DQN vs PPO vs A2C
by: De La Fuente, Neil, et al.
Published: (2024)

Beyond Spatio-Temporal Representations: Evolving Fourier Transform for Temporal Graphs
by: Bastos, Anson, et al.
Published: (2024)

RAMP: Reinforcement Adaptive Mixed Precision Quantization for Efficient On Device LLM Inference
by: Gautam, Arpit Singh, et al.
Published: (2026)

BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis
by: Ni, Zelin, et al.
Published: (2023)

Enabling Efficient Equivariant Operations in the Fourier Basis via Gaunt Tensor Products
by: Luo, Shengjie, et al.
Published: (2024)

Temporal Basis Function Models for Closed-Loop Neural Stimulation
by: Bryan, Matthew J., et al.
Published: (2025)

The Hitchhiker's Guide to Efficient, End-to-End, and Tight DP Auditing
by: Annamalai, Meenatchi Sundaram Muthu Selva, et al.
Published: (2025)

Radial Basis Operator Networks
by: Kurz, Jason, et al.
Published: (2024)

Model-driven Stochastic Trace Clustering
by: Peeperkorn, Jari, et al.
Published: (2025)

Accelerating Attention with Basis Decomposition
by: Zhao, Jialin
Published: (2025)

Dynamic Gradient Influencing for Viral Marketing Using Graph Neural Networks
by: Sharma, Saurabh, et al.
Published: (2024)

Interpretable Machine Learning for Reservoir Water Temperatures in the U.S. Red River Basin of the South
by: Suaza-Sierra, Isabela, et al.
Published: (2025)

Quantization of Large Language Models with an Overdetermined Basis
by: Merkulov, Daniil, et al.
Published: (2024)

High Energy Density Radiative Transfer in the Diffusion Regime with Fourier Neural Operators
by: Farmer, Joseph, et al.
Published: (2024)

Real-Time Performance Benchmarking of TinyML Models in Embedded Systems (PICO: Performance of Inference, CPU, and Operations)
by: Dey, Abhishek, et al.
Published: (2025)

Spatio-temporal modeling and forecasting with Fourier neural operators
by: Nag, Pratik, et al.
Published: (2026)

From Basis to Basis: Gaussian Particle Representation for Interpretable PDE Operators
by: Li, Zhihao, et al.
Published: (2026)

Beyond Inference: Performance Analysis of DNN Server Overheads for Computer Vision
by: AbouElhamayed, Ahmed F., et al.
Published: (2024)

Importance-Guided Basis Selection for Low-Rank Decomposition of Large Language Models
by: Asante, Daniel Agyei, et al.
Published: (2026)

From Distributional to Quantile Neural Basis Models: the case of Electricity Price Forecasting
by: Brusaferri, Alessandro, et al.
Published: (2025)

Dynamic Basis Function Interpolation for Adaptive In Situ Data Integration in Ocean Modeling
by: DeSantis, Derek, et al.
Published: (2023)

Decomposition-Based Modular Conformal Prediction for Two-Stage Modeling
by: Zhang, William, et al.
Published: (2025)

Change-of-Basis Pruning via Rotational Invariance
by: Ning, Alex, et al.
Published: (2025)

Basis Transformers for Multi-Task Tabular Regression
by: Loh, Wei Min, et al.
Published: (2025)

Scalable Deep Basis Kernel Gaussian Processes
by: Zhu, Yunqin, et al.
Published: (2025)

Modeling the Real World with High-Density Visual Particle Dynamics
by: Whitney, William F., et al.
Published: (2024)

Overcoming Saturation in Density Ratio Estimation by Iterated Regularization
by: Gruber, Lukas, et al.
Published: (2024)

Extracting Process-Aware Decision Models from Object-Centric Process Data
by: Goossens, Alexandre, et al.
Published: (2024)

DiSK: Differentially Private Optimizer with Simplified Kalman Filter for Noise Reduction
by: Zhang, Xinwei, et al.
Published: (2024)