Saved in:
| Main Authors: | Scarvelis, Christopher, Borde, Haitz Sáez de Ocáriz, Solomon, Justin |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2310.12395 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Beyond Parallelism: Synergistic Computational Graph Effects in Multi-Head Attention
by: Borde, Haitz Sáez de Ocáriz
Published: (2025)
by: Borde, Haitz Sáez de Ocáriz
Published: (2025)
Mathematical Foundations of Geometric Deep Learning
by: Borde, Haitz Sáez de Ocáriz, et al.
Published: (2025)
by: Borde, Haitz Sáez de Ocáriz, et al.
Published: (2025)
Fine-Tuning Next-Scale Visual Autoregressive Models with Group Relative Policy Optimization
by: Gallici, Matteo, et al.
Published: (2025)
by: Gallici, Matteo, et al.
Published: (2025)
Sensitivity Analysis for Diffusion Models
by: Scarvelis, Christopher, et al.
Published: (2025)
by: Scarvelis, Christopher, et al.
Published: (2025)
Neural Snowflakes: Universal Latent Graph Inference via Trainable Latent Geometries
by: Borde, Haitz Sáez de Ocáriz, et al.
Published: (2023)
by: Borde, Haitz Sáez de Ocáriz, et al.
Published: (2023)
LoRA Fine-Tuning Without GPUs: A CPU-Efficient Meta-Generation Framework for LLMs
by: Arabpour, Reza, et al.
Published: (2025)
by: Arabpour, Reza, et al.
Published: (2025)
Bridging Graph and State-Space Modeling for Intensive Care Unit Length of Stay Prediction
by: Zi, Shuqi, et al.
Published: (2025)
by: Zi, Shuqi, et al.
Published: (2025)
k-Maximum Inner Product Attention for Graph Transformers and the Expressive Power of GraphGPS
by: De Schouwer, Jonas, et al.
Published: (2026)
by: De Schouwer, Jonas, et al.
Published: (2026)
Nuclear Norm Regularization for Deep Learning
by: Scarvelis, Christopher, et al.
Published: (2024)
by: Scarvelis, Christopher, et al.
Published: (2024)
Metric Learning for Clifford Group Equivariant Neural Networks
by: Ali, Riccardo, et al.
Published: (2024)
by: Ali, Riccardo, et al.
Published: (2024)
Approximation Rates and VC-Dimension Bounds for (P)ReLU MLP Mixture of Experts
by: Kratsios, Anastasis, et al.
Published: (2024)
by: Kratsios, Anastasis, et al.
Published: (2024)
Sharp Generalization Bounds for Foundation Models with Asymmetric Randomized Low-Rank Adapters
by: Kratsios, Anastasis, et al.
Published: (2025)
by: Kratsios, Anastasis, et al.
Published: (2025)
Scalable Message Passing Neural Networks: No Need for Attention in Large Graph Representation Learning
by: Borde, Haitz Sáez de Ocáriz, et al.
Published: (2024)
by: Borde, Haitz Sáez de Ocáriz, et al.
Published: (2024)
Score Distillation via Reparametrized DDIM
by: Lukoianov, Artem, et al.
Published: (2024)
by: Lukoianov, Artem, et al.
Published: (2024)
Towards Quantifying Long-Range Interactions in Graph Machine Learning: a Large Graph Dataset and a Measurement
by: Liang, Huidong, et al.
Published: (2025)
by: Liang, Huidong, et al.
Published: (2025)
Asymmetry in Low-Rank Adapters of Foundation Models
by: Zhu, Jiacheng, et al.
Published: (2024)
by: Zhu, Jiacheng, et al.
Published: (2024)
Neural Spacetimes for DAG Representation Learning
by: Borde, Haitz Sáez de Ocáriz, et al.
Published: (2024)
by: Borde, Haitz Sáez de Ocáriz, et al.
Published: (2024)
Classification Fields: Arbitrarily Fine Recursive Hierarchical Clustering From Few Examples
by: Li, Yicen, et al.
Published: (2026)
by: Li, Yicen, et al.
Published: (2026)
Keep It Light! Simplifying Image Clustering Via Text-Free Adapters
by: Li, Yicen, et al.
Published: (2025)
by: Li, Yicen, et al.
Published: (2025)
Structured Captions Improve Prompt Adherence in Text-to-Image Models (Re-LAION-Caption 19M)
by: Merchant, Nicholas, et al.
Published: (2025)
by: Merchant, Nicholas, et al.
Published: (2025)
Mitigating Model Drift in Developing Economies Using Synthetic Data and Outliers
by: Varshavskiy, Ilyas, et al.
Published: (2025)
by: Varshavskiy, Ilyas, et al.
Published: (2025)
The Stepwise Informativeness Assumption: Why are Entropy Dynamics and Reasoning Correlated in LLMs?
by: Català, Mar Gonzàlez I, et al.
Published: (2026)
by: Català, Mar Gonzàlez I, et al.
Published: (2026)
Assessing the Geographic Generalization and Physical Consistency of Generative Models for Climate Downscaling
by: Saccardi, Carlo, et al.
Published: (2025)
by: Saccardi, Carlo, et al.
Published: (2025)
Every Feedforward Neural Network Definable in an o-Minimal Structure Has Finite Sample Complexity
by: Kratsios, Anastasis, et al.
Published: (2026)
by: Kratsios, Anastasis, et al.
Published: (2026)
Is Your Conditional Diffusion Model Actually Denoising?
by: Pfrommer, Daniel, et al.
Published: (2025)
by: Pfrommer, Daniel, et al.
Published: (2025)
DreamUp3D: Object-Centric Generative Models for Single-View 3D Scene Understanding and Real-to-Sim Transfer
by: Wu, Yizhe, et al.
Published: (2024)
by: Wu, Yizhe, et al.
Published: (2024)
Symmetry-Robust 3D Orientation Estimation
by: Scarvelis, Christopher, et al.
Published: (2024)
by: Scarvelis, Christopher, et al.
Published: (2024)
Soro: A Lightweight Foundation Model and Chatbot for Tajik
by: Liashkov, Stanislav, et al.
Published: (2026)
by: Liashkov, Stanislav, et al.
Published: (2026)
Learning 3D Hypersonic Flow with Physics-Enhanced Neural Fields: A Case Study on the Orion Reentry Capsule
by: Borde, Haitz Sáez de Ocáriz, et al.
Published: (2026)
by: Borde, Haitz Sáez de Ocáriz, et al.
Published: (2026)
Training-Free Imitation Learning with Closed-Form Diffusion Policies
by: Mishra, Raghav, et al.
Published: (2026)
by: Mishra, Raghav, et al.
Published: (2026)
Closed-Form Last Layer Optimization
by: Galashov, Alexandre, et al.
Published: (2025)
by: Galashov, Alexandre, et al.
Published: (2025)
Converting MLPs into Polynomials in Closed Form
by: Belrose, Nora, et al.
Published: (2025)
by: Belrose, Nora, et al.
Published: (2025)
Generative Modeling with Diffusion
by: Le, Justin
Published: (2024)
by: Le, Justin
Published: (2024)
Diffusion Models are Molecular Dynamics Simulators
by: Diamond, Justin, et al.
Published: (2025)
by: Diamond, Justin, et al.
Published: (2025)
Learning Orthonormal Bases for Function Spaces
by: Kamkari, Hamidreza, et al.
Published: (2026)
by: Kamkari, Hamidreza, et al.
Published: (2026)
Closed-Form Node Classification with Exact Graph Unlearning
by: Gaur, Aditya, et al.
Published: (2026)
by: Gaur, Aditya, et al.
Published: (2026)
Slicing Mutual Information Generalization Bounds for Neural Networks
by: Nadjahi, Kimia, et al.
Published: (2024)
by: Nadjahi, Kimia, et al.
Published: (2024)
Composing Non-Conjugate Factor Graphs with Closed-Form Variational Inference
by: Lukashchuk, Mykola, et al.
Published: (2026)
by: Lukashchuk, Mykola, et al.
Published: (2026)
Emociones positivas y educación de la convivencia escolar. Contribución de la expresión motriz cooperativa
by: Unai Sáez de Ocáriz
Published: (2014)
by: Unai Sáez de Ocáriz
Published: (2014)
El profesorado ante los conflictos en la educación física. El caso de los juegos de oposición en Primaria
by: Unai Sáez de Ocáriz
Published: (2013)
by: Unai Sáez de Ocáriz
Published: (2013)
Similar Items
-
Beyond Parallelism: Synergistic Computational Graph Effects in Multi-Head Attention
by: Borde, Haitz Sáez de Ocáriz
Published: (2025) -
Mathematical Foundations of Geometric Deep Learning
by: Borde, Haitz Sáez de Ocáriz, et al.
Published: (2025) -
Fine-Tuning Next-Scale Visual Autoregressive Models with Group Relative Policy Optimization
by: Gallici, Matteo, et al.
Published: (2025) -
Sensitivity Analysis for Diffusion Models
by: Scarvelis, Christopher, et al.
Published: (2025) -
Neural Snowflakes: Universal Latent Graph Inference via Trainable Latent Geometries
by: Borde, Haitz Sáez de Ocáriz, et al.
Published: (2023)