:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Scarvelis, Christopher, Solomon, Justin
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2509.23092
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Nuclear Norm Regularization for Deep Learning
by: Scarvelis, Christopher, et al.
Published: (2024)

Closed-Form Diffusion Models
by: Scarvelis, Christopher, et al.
Published: (2023)

Is Your Conditional Diffusion Model Actually Denoising?
by: Pfrommer, Daniel, et al.
Published: (2025)

Symmetry-Robust 3D Orientation Estimation
by: Scarvelis, Christopher, et al.
Published: (2024)

Diffusion Models under Alternative Noise: Simplified Analysis and Sensitivity
by: Choi, Juhyeok, et al.
Published: (2025)

Generative Modeling with Diffusion
by: Le, Justin
Published: (2024)

Diffusion Models are Molecular Dynamics Simulators
by: Diamond, Justin, et al.
Published: (2025)

Learning Orthonormal Bases for Function Spaces
by: Kamkari, Hamidreza, et al.
Published: (2026)

Slicing Mutual Information Generalization Bounds for Neural Networks
by: Nadjahi, Kimia, et al.
Published: (2024)

Risk-Sensitive Diffusion: Robustly Optimizing Diffusion Models with Noisy Samples
by: Li, Yangming, et al.
Published: (2024)

Mirror Bridges Between Probability Measures
by: Da Silva, Leticia Mattos, et al.
Published: (2024)

Iskra: A System for Inverse Geometry Processing
by: Dodik, Ana, et al.
Published: (2026)

Low-Rank Adaptation of Neural Fields
by: Truong, Anh, et al.
Published: (2025)

Sensitivity Analysis in the Presence of Intrinsic Stochasticity for Discrete Fracture Network Simulations
by: Murph, Alexander C., et al.
Published: (2023)

Diffusion Guided Language Modeling
by: Lovelace, Justin, et al.
Published: (2024)

Guided Discrete Diffusion for Constraint Satisfaction Problems
by: Jung, Justin
Published: (2025)

Sensitivity Analysis for Climate Science with Generative Flow Models
by: Dobra, Alex, et al.
Published: (2025)

Robust Biharmonic Skinning Using Geometric Fields
by: Dodik, Ana, et al.
Published: (2024)

Positive-Unlabeled Diffusion Models for Preventing Sensitive Data Generation
by: Takahashi, Hiroshi, et al.
Published: (2025)

Diffusion-DFL: Decision-focused Diffusion Models for Stochastic Optimization
by: Zhao, Zihao, et al.
Published: (2025)

Sensitivity Analysis On Loss Landscape
by: Faroz, Salman
Published: (2024)

Data-Efficient Ensemble Weather Forecasting with Diffusion Models
by: Valencia, Kevin, et al.
Published: (2025)

Deep Augmentation: Dropout as Augmentation for Self-Supervised Learning
by: Brüel-Gabrielsson, Rickard, et al.
Published: (2023)

Scaffold Diffusion: Sparse Multi-Category Voxel Structure Generation with Discrete Diffusion
by: Jung, Justin
Published: (2025)

The Diffusion Duality, Chapter II: $Ψ$-Samplers
by: Deschenaux, Justin, et al.
Published: (2026)

Continual Unlearning for Text-to-Image Diffusion Models: A Regularization Perspective
by: Lee, Justin, et al.
Published: (2025)

Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models
by: Arriola, Marianne, et al.
Published: (2025)

Asymmetry in Low-Rank Adapters of Foundation Models
by: Zhu, Jiacheng, et al.
Published: (2024)

The Diffusion Duality
by: Sahoo, Subham Sekhar, et al.
Published: (2025)

Kinematic Discriminants of Deceleration Behavior Modes in Car-Following: Evidence from NGSIM Trajectory Data
by: Laughter, Eni Solomon
Published: (2026)

Prompt-to-Slate: Diffusion Models for Prompt-Conditioned Slate Generation
by: Tomasi, Federico, et al.
Published: (2024)

Gaussian Process Assisted Meta-learning for Image Classification and Object Detection Models
by: Flowers, Anna R., et al.
Published: (2025)

Constrained Synthesis with Projected Diffusion Models
by: Christopher, Jacob K, et al.
Published: (2024)

Scaling Beyond Masked Diffusion Language Models
by: Sahoo, Subham Sekhar, et al.
Published: (2026)

Metropolis-Adjusted Diffusion Models
by: Lam, Kevin H., et al.
Published: (2026)

Sensitivity Analysis on Policy-Augmented Graphical Hybrid Models with Shapley Value Estimation
by: Zhao, Junkai, et al.
Published: (2024)

Holographic Knowledge Manifolds: A Novel Pipeline for Continual Learning Without Catastrophic Forgetting in Large Language Models
by: Arndt, Justin
Published: (2025)

Training-Free Constrained Generation With Stable Diffusion Models
by: Zampini, Stefano, et al.
Published: (2025)

Loopholing Discrete Diffusion: Deterministic Bypass of the Sampling Wall
by: Jo, Mingyu, et al.
Published: (2025)

A Visual Tool for Interactive Model Explanation using Sensitivity Analysis
by: Schuler, Manuela
Published: (2025)