Copertina

Assessing the Geographic Generalization and Physical Consistency of Generative Models for Climate Downscaling

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Saccardi, Carlo, Pierzyna, Maximilian, Borde, Haitz Sáez de Ocáriz, Monaco, Simone, Meo, Cristian, Liò, Pietro, Saathof, Rudolf, Joseph, Geethu, Dauwels, Justin
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

OTCliM: generating a near-surface climatology of optical turbulence strength ($C_n^2$) using gradient boosting
di: Pierzyna, Maximilian, et al.
Pubblicazione: (2024)

OTProf: estimating high-resolution profiles of optical turbulence ($C_n^2$) from reanalysis using deep learning
di: Pierzyna, Maximilian, et al.
Pubblicazione: (2026)

Beyond Parallelism: Synergistic Computational Graph Effects in Multi-Head Attention
di: Borde, Haitz Sáez de Ocáriz
Pubblicazione: (2025)

Metric Learning for Clifford Group Equivariant Neural Networks
di: Ali, Riccardo, et al.
Pubblicazione: (2024)

Bridging Graph and State-Space Modeling for Intensive Care Unit Length of Stay Prediction
di: Zi, Shuqi, et al.
Pubblicazione: (2025)

Fine-Tuning Next-Scale Visual Autoregressive Models with Group Relative Policy Optimization
di: Gallici, Matteo, et al.
Pubblicazione: (2025)

Mathematical Foundations of Geometric Deep Learning
di: Borde, Haitz Sáez de Ocáriz, et al.
Pubblicazione: (2025)

Neural Snowflakes: Universal Latent Graph Inference via Trainable Latent Geometries
di: Borde, Haitz Sáez de Ocáriz, et al.
Pubblicazione: (2023)

Closed-Form Diffusion Models
di: Scarvelis, Christopher, et al.
Pubblicazione: (2023)

LoRA Fine-Tuning Without GPUs: A CPU-Efficient Meta-Generation Framework for LLMs
di: Arabpour, Reza, et al.
Pubblicazione: (2025)

The Stepwise Informativeness Assumption: Why are Entropy Dynamics and Reasoning Correlated in LLMs?
di: Català, Mar Gonzàlez I, et al.
Pubblicazione: (2026)

Learning 3D Hypersonic Flow with Physics-Enhanced Neural Fields: A Case Study on the Orion Reentry Capsule
di: Borde, Haitz Sáez de Ocáriz, et al.
Pubblicazione: (2026)

Sharp Generalization Bounds for Foundation Models with Asymmetric Randomized Low-Rank Adapters
di: Kratsios, Anastasis, et al.
Pubblicazione: (2025)

k-Maximum Inner Product Attention for Graph Transformers and the Expressive Power of GraphGPS
di: De Schouwer, Jonas, et al.
Pubblicazione: (2026)

Approximation Rates and VC-Dimension Bounds for (P)ReLU MLP Mixture of Experts
di: Kratsios, Anastasis, et al.
Pubblicazione: (2024)

DreamUp3D: Object-Centric Generative Models for Single-View 3D Scene Understanding and Real-to-Sim Transfer
di: Wu, Yizhe, et al.
Pubblicazione: (2024)

Structured Captions Improve Prompt Adherence in Text-to-Image Models (Re-LAION-Caption 19M)
di: Merchant, Nicholas, et al.
Pubblicazione: (2025)

Every Feedforward Neural Network Definable in an o-Minimal Structure Has Finite Sample Complexity
di: Kratsios, Anastasis, et al.
Pubblicazione: (2026)

Bayesian-LoRA: LoRA based Parameter Efficient Fine-Tuning using Optimal Quantization levels and Rank Values trough Differentiable Bayesian Gates
di: Meo, Cristian, et al.
Pubblicazione: (2024)

$α$-TCVAE: On the relationship between Disentanglement and Diversity
di: Meo, Cristian, et al.
Pubblicazione: (2024)

BlockGPT: Spatio-Temporal Modelling of Rainfall via Frame-Level Autoregression
di: Meo, Cristian, et al.
Pubblicazione: (2025)

Neural Spacetimes for DAG Representation Learning
di: Borde, Haitz Sáez de Ocáriz, et al.
Pubblicazione: (2024)

Scalable Message Passing Neural Networks: No Need for Attention in Large Graph Representation Learning
di: Borde, Haitz Sáez de Ocáriz, et al.
Pubblicazione: (2024)

Keep It Light! Simplifying Image Clustering Via Text-Free Adapters
di: Li, Yicen, et al.
Pubblicazione: (2025)

Towards Quantifying Long-Range Interactions in Graph Machine Learning: a Large Graph Dataset and a Measurement
di: Liang, Huidong, et al.
Pubblicazione: (2025)

Evaluation of Vision-LLMs in Surveillance Video
di: Benschop, Pascal, et al.
Pubblicazione: (2025)

Dataset: Estimating turbulence-induced link losses in an urban environment from observed and numerically estimated Cn2
di: Pierzyna, Maximilian
Pubblicazione: (2026)

EfficientTDMPC: Improved MPC Objectives for Sample-Efficient Continuous Control
di: Evers, Thomas, et al.
Pubblicazione: (2026)

Soro: A Lightweight Foundation Model and Chatbot for Tajik
di: Liashkov, Stanislav, et al.
Pubblicazione: (2026)

Classification Fields: Arbitrarily Fine Recursive Hierarchical Clustering From Few Examples
di: Li, Yicen, et al.
Pubblicazione: (2026)

Score Distillation via Reparametrized DDIM
di: Lukoianov, Artem, et al.
Pubblicazione: (2024)

Assessing Situational and Spatial Awareness of VLMs with Synthetically Generated Video
di: Benschop, Pascal, et al.
Pubblicazione: (2026)

Mitigating Model Drift in Developing Economies Using Synthetic Data and Outliers
di: Varshavskiy, Ilyas, et al.
Pubblicazione: (2025)

Precipitation Nowcasting Using Physics Informed Discriminator Generative Models
di: Yin, Junzhe, et al.
Pubblicazione: (2024)

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

Extreme Precipitation Nowcasting using Transformer-based Generative Models
di: Meo, Cristian, et al.
Pubblicazione: (2024)

Compositional Scene Understanding through Inverse Generative Modeling
di: Wang, Yanbo, et al.
Pubblicazione: (2025)

Object-Centric Temporal Consistency via Conditional Autoregressive Inductive Biases
di: Meo, Cristian, et al.
Pubblicazione: (2024)

Masked Generative Priors Improve World Models Sequence Modelling Capabilities
di: Meo, Cristian, et al.
Pubblicazione: (2024)

Slot-VAE: Object-Centric Scene Generation with Slot Attention
di: Wang, Yanbo, et al.
Pubblicazione: (2023)