Copertina

Latent Pollution Model: The Hidden Carbon Footprint in 3D Image Synthesis

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Seyfarth, Marvin, Dar, Salman Ul Hassan, Engelhardt, Sandy
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

VolDiT: Controllable Volumetric Medical Image Synthesis with Diffusion Transformers
di: Seyfarth, Marvin, et al.
Pubblicazione: (2026)

MedLoRD: A Medical Low-Resource Diffusion Model for High-Resolution 3D CT Image Synthesis
di: Seyfarth, Marvin, et al.
Pubblicazione: (2025)

Unconditional Latent Diffusion Models Memorize Patient Imaging Data: Implications for Openly Sharing Synthetic Data
di: Dar, Salman Ul Hassan, et al.
Pubblicazione: (2024)

CardioDiT: Latent Diffusion Transformers for 4D Cardiac MRI Synthesis
di: Seyfarth, Marvin, et al.
Pubblicazione: (2026)

Surgical Phase and Instrument Recognition: How to identify appropriate Dataset Splits
di: Kostiuchik, Georgii, et al.
Pubblicazione: (2023)

LLMSpace: Carbon Footprint Modeling for Large Language Model Inference on LEO Satellites
di: Jiang, Lei, et al.
Pubblicazione: (2026)

Latent Action World Models for Control with Unlabeled Trajectories
di: Alles, Marvin, et al.
Pubblicazione: (2025)

Transfer Learning of Linear Regression with Multiple Pretrained Models: Benefiting from More Pretrained Models via Overparameterization Debiasing
di: Boharon, Daniel, et al.
Pubblicazione: (2026)

Fast 3D Diffusion for Scalable Granular Media Synthesis
di: Hassan, Muhammad Moeeze, et al.
Pubblicazione: (2025)

LLMCarbon: Modeling the end-to-end Carbon Footprint of Large Language Models
di: Faiz, Ahmad, et al.
Pubblicazione: (2023)

Mixture of Many Zero-Compute Experts: A High-Rate Quantization Theory Perspective
di: Dar, Yehuda
Pubblicazione: (2025)

Towards Unified and Lossless Latent Space for 3D Molecular Latent Diffusion Modeling
di: Luo, Yanchen, et al.
Pubblicazione: (2025)

EcoLearn: Optimizing the Carbon Footprint of Federated Learning
di: Mehboob, Talha, et al.
Pubblicazione: (2023)

A Footprint-Aware, High-Resolution Approach for Carbon Flux Prediction Across Diverse Ecosystems
di: Searcy, Jacob, et al.
Pubblicazione: (2025)

The Hidden Influence of Latent Feature Magnitude When Learning with Imbalanced Data
di: Dablain, Damien A., et al.
Pubblicazione: (2024)

Towards Sustainable SecureML: Quantifying Carbon Footprint of Adversarial Machine Learning
di: Hasan, Syed Mhamudul, et al.
Pubblicazione: (2024)

SViM3D: Stable Video Material Diffusion for Single Image 3D Generation
di: Engelhardt, Andreas, et al.
Pubblicazione: (2025)

Constrained Latent Action Policies for Model-Based Offline Reinforcement Learning
di: Alles, Marvin, et al.
Pubblicazione: (2024)

FTimeXer: Frequency-aware Time-series Transformer with Exogenous variables for Robust Carbon Footprint Forecasting
di: Li, Qingzhong, et al.
Pubblicazione: (2026)

Exploring the Landscape for Generative Sequence Models for Specialized Data Synthesis
di: Zbeeb, Mohammad, et al.
Pubblicazione: (2024)

Large-Scale 3D Ground-Motion Synthesis with Physics-Inspired Latent Operator Flow Matching
di: Shi, Yaozhong, et al.
Pubblicazione: (2026)

Latent-DARM: Bridging Discrete Diffusion And Autoregressive Models For Reasoning
di: Berrayana, Lina, et al.
Pubblicazione: (2026)

LMDM:Latent Molecular Diffusion Model For 3D Molecule Generation
di: Chen, Xiang
Pubblicazione: (2024)

On a Hidden Property in Computational Imaging
di: Feng, Yinan, et al.
Pubblicazione: (2024)

Sub-Footprint Effect Correction in FW-LiDAR Point Clouds via Intra-Footprint Target Unmixing
di: Xiao, Zhen, et al.
Pubblicazione: (2026)

Carbon Footprint Evaluation of Code Generation through LLM as a Service
di: Vartziotis, Tina, et al.
Pubblicazione: (2025)

Assessing the Distributional Fidelity of Synthetic Chest X-rays using the Embedded Characteristic Score
di: Tam, Edric, et al.
Pubblicazione: (2025)

Carbon Footprint Reduction for Sustainable Data Centers in Real-Time
di: Sarkar, Soumyendu, et al.
Pubblicazione: (2024)

How Do the Architecture and Optimizer Affect Representation Learning? On the Training Dynamics of Representations in Deep Neural Networks
di: Sharon, Yuval, et al.
Pubblicazione: (2024)

From XAI to MLOps: Explainable Concept Drift Detection with Profile Drift Detection
di: Dar, Ugur, et al.
Pubblicazione: (2024)

TL-PCA: Transfer Learning of Principal Component Analysis
di: Hendy, Sharon, et al.
Pubblicazione: (2024)

How Does Overparameterization Affect Machine Unlearning of Deep Neural Networks?
di: Alon, Gal, et al.
Pubblicazione: (2025)

How Much Training Data is Memorized in Overparameterized Autoencoders? An Inverse Problem Perspective on Memorization Evaluation
di: Abitbul, Koren, et al.
Pubblicazione: (2023)

Benchmark Shadows: Data Alignment, Parameter Footprints, and Generalization in Large Language Models
di: Zou, Hongjian, et al.
Pubblicazione: (2026)

Exposing Hidden Biases in Text-to-Image Models via Automated Prompt Search
di: Plitsis, Manos, et al.
Pubblicazione: (2025)

CarbonScaling: Extending Neural Scaling Laws for Carbon Footprint in Large Language Models
di: Jiang, Lei, et al.
Pubblicazione: (2025)

Controlled Latent Diffusion Models for 3D Porous Media Reconstruction
di: Naiff, Danilo, et al.
Pubblicazione: (2025)

Evaluating the Impact of Data Anonymization on Image Retrieval
di: Chen, Marvin, et al.
Pubblicazione: (2026)

Predicting Hidden Links and Missing Nodes in Scale-Free Networks with Artificial Neural Networks
di: Pran, Rakib Hassan
Pubblicazione: (2021)

QRïS: A Preemptive Novel Method for Quishing Detection Through Structural Features of QR
di: Akram, Muhammad Wahid, et al.
Pubblicazione: (2025)