Quality Measures for Dynamic Graph Generative Models
Fuente:
arXiv
Guardado en:
| Autores principales: | Hosseini, Ryien, Simini, Filippo, Vishwanath, Venkatram, Willett, Rebecca, Hoffmann, Henry |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Sketch-Augmented Features Improve Learning Long-Range Dependencies in Graph Neural Networks
por: Hosseini, Ryien, et al.
Publicado: (2025)
por: Hosseini, Ryien, et al.
Publicado: (2025)
A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation
por: Hosseini, Ryien, et al.
Publicado: (2024)
por: Hosseini, Ryien, et al.
Publicado: (2024)
Observation, Not Prediction: Conversation-Level Disaggregated Scheduling for Agentic Serving
por: Ding, Jianru, et al.
Publicado: (2026)
por: Ding, Jianru, et al.
Publicado: (2026)
LExI: Layer-Adaptive Active Experts for Efficient MoE Model Inference
por: Chitty-Venkata, Krishna Teja, et al.
Publicado: (2025)
por: Chitty-Venkata, Krishna Teja, et al.
Publicado: (2025)
Extending $μ$P: Spectral Conditions for Feature Learning Across Optimizers
por: Gupta, Akshita, et al.
Publicado: (2026)
por: Gupta, Akshita, et al.
Publicado: (2026)
Swimba: Switch Mamba Model Scales State Space Models
por: Du, Zhixu, et al.
Publicado: (2026)
por: Du, Zhixu, et al.
Publicado: (2026)
ReLU Neural Networks with Linear Layers are Biased Towards Single- and Multi-Index Models
por: Parkinson, Suzanna, et al.
Publicado: (2023)
por: Parkinson, Suzanna, et al.
Publicado: (2023)
Scalable and Consistent Graph Neural Networks for Distributed Mesh-based Data-driven Modeling
por: Barwey, Shivam, et al.
Publicado: (2024)
por: Barwey, Shivam, et al.
Publicado: (2024)
PreLoRA: Hybrid Pre-training of Vision Transformers with Full Training and Low-Rank Adapters
por: Thapa, Krishu K, et al.
Publicado: (2025)
por: Thapa, Krishu K, et al.
Publicado: (2025)
PagedEviction: Structured Block-wise KV Cache Pruning for Efficient Large Language Model Inference
por: Chitty-Venkata, Krishna Teja, et al.
Publicado: (2025)
por: Chitty-Venkata, Krishna Teja, et al.
Publicado: (2025)
BaKlaVa -- Budgeted Allocation of KV cache for Long-context Inference
por: Gulhan, Ahmed Burak, et al.
Publicado: (2025)
por: Gulhan, Ahmed Burak, et al.
Publicado: (2025)
How do simple rotations affect the implicit bias of Adam?
por: DePavia, Adela, et al.
Publicado: (2025)
por: DePavia, Adela, et al.
Publicado: (2025)
Embed and Emulate: Contrastive representations for simulation-based inference
por: Jiang, Ruoxi, et al.
Publicado: (2024)
por: Jiang, Ruoxi, et al.
Publicado: (2024)
MoE-Inference-Bench: Performance Evaluation of Mixture of Expert Large Language and Vision Models
por: Chitty-Venkata, Krishna Teja, et al.
Publicado: (2025)
por: Chitty-Venkata, Krishna Teja, et al.
Publicado: (2025)
LLM-Inference-Bench: Inference Benchmarking of Large Language Models on AI Accelerators
por: Chitty-Venkata, Krishna Teja, et al.
Publicado: (2024)
por: Chitty-Venkata, Krishna Teja, et al.
Publicado: (2024)
Integrating Uncertainty Awareness into Conformalized Quantile Regression
por: Rossellini, Raphael, et al.
Publicado: (2023)
por: Rossellini, Raphael, et al.
Publicado: (2023)
Stabilizing black-box model selection with the inflated argmax
por: Adrian, Melissa, et al.
Publicado: (2024)
por: Adrian, Melissa, et al.
Publicado: (2024)
Mesh-based Super-Resolution of Fluid Flows with Multiscale Graph Neural Networks
por: Barwey, Shivam, et al.
Publicado: (2024)
por: Barwey, Shivam, et al.
Publicado: (2024)
Learning Paths for Dynamic Measure Transport: A Control Perspective
por: Maurais, Aimee, et al.
Publicado: (2025)
por: Maurais, Aimee, et al.
Publicado: (2025)
Building a stable classifier with the inflated argmax
por: Soloff, Jake A., et al.
Publicado: (2024)
por: Soloff, Jake A., et al.
Publicado: (2024)
Bagging Provides Assumption-free Stability
por: Soloff, Jake A., et al.
Publicado: (2023)
por: Soloff, Jake A., et al.
Publicado: (2023)
Auto-differentiable data assimilation: Co-learning of states, dynamics, and filtering algorithms
por: Adrian, Melissa, et al.
Publicado: (2026)
por: Adrian, Melissa, et al.
Publicado: (2026)
Depth Separation in Norm-Bounded Infinite-Width Neural Networks
por: Parkinson, Suzanna, et al.
Publicado: (2024)
por: Parkinson, Suzanna, et al.
Publicado: (2024)
Data Assimilation with Machine Learning Surrogate Models: A Case Study with FourCastNet
por: Adrian, Melissa, et al.
Publicado: (2024)
por: Adrian, Melissa, et al.
Publicado: (2024)
Training neural operators to preserve invariant measures of chaotic attractors
por: Jiang, Ruoxi, et al.
Publicado: (2023)
por: Jiang, Ruoxi, et al.
Publicado: (2023)
Beyond Ensemble Averages: Leveraging Climate Model Ensembles for Subseasonal Forecasting
por: Orlova, Elena, et al.
Publicado: (2022)
por: Orlova, Elena, et al.
Publicado: (2022)
A Model-Guided Neural Network Method for the Inverse Scattering Problem
por: Tsang, Olivia, et al.
Publicado: (2025)
por: Tsang, Olivia, et al.
Publicado: (2025)
Mean-Field Langevin Dynamics for Signed Measures via a Bilevel Approach
por: Wang, Guillaume, et al.
Publicado: (2024)
por: Wang, Guillaume, et al.
Publicado: (2024)
Accelerating PDE Surrogates via RL-Guided Mesh Optimization
por: Meng, Yang, et al.
Publicado: (2026)
por: Meng, Yang, et al.
Publicado: (2026)
Solving Inverse Problems with Deep Linear Neural Networks: Global Convergence Guarantees for Gradient Descent with Weight Decay
por: Laus, Hannah, et al.
Publicado: (2025)
por: Laus, Hannah, et al.
Publicado: (2025)
A Generalized Tikhonov Layer for Interpretable-by-design Graph Neural Networks
por: Tremblay, Nicolas, et al.
Publicado: (2026)
por: Tremblay, Nicolas, et al.
Publicado: (2026)
Minimax Rates for Hyperbolic Hierarchical Learning
por: Rawal, Divit, et al.
Publicado: (2026)
por: Rawal, Divit, et al.
Publicado: (2026)
Discount Model Search for Quality Diversity Optimization in High-Dimensional Measure Spaces
por: Tjanaka, Bryon, et al.
Publicado: (2026)
por: Tjanaka, Bryon, et al.
Publicado: (2026)
Assumption-free stability for ranking problems
por: Liang, Ruiting, et al.
Publicado: (2025)
por: Liang, Ruiting, et al.
Publicado: (2025)
Can a calibration metric be both testable and actionable?
por: Rossellini, Raphael, et al.
Publicado: (2025)
por: Rossellini, Raphael, et al.
Publicado: (2025)
Deep Stochastic Mechanics
por: Orlova, Elena, et al.
Publicado: (2023)
por: Orlova, Elena, et al.
Publicado: (2023)
Comparing Methods for Bias Mitigation in Graph Neural Networks
por: Hoffmann, Barbara, et al.
Publicado: (2025)
por: Hoffmann, Barbara, et al.
Publicado: (2025)
Certified Guidance for Planning with Deep Generative Models
por: Giacomarra, Francesco, et al.
Publicado: (2025)
por: Giacomarra, Francesco, et al.
Publicado: (2025)
Generalized Sobolev IPM for Graph-Based Measures
por: Le, Tam, et al.
Publicado: (2025)
por: Le, Tam, et al.
Publicado: (2025)
Statistical Guarantees in Synthetic Data through Conformal Adversarial Generation
por: Vishwakarma, Rahul, et al.
Publicado: (2025)
por: Vishwakarma, Rahul, et al.
Publicado: (2025)
Ejemplares similares
-
Sketch-Augmented Features Improve Learning Long-Range Dependencies in Graph Neural Networks
por: Hosseini, Ryien, et al.
Publicado: (2025) -
A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation
por: Hosseini, Ryien, et al.
Publicado: (2024) -
Observation, Not Prediction: Conversation-Level Disaggregated Scheduling for Agentic Serving
por: Ding, Jianru, et al.
Publicado: (2026) -
LExI: Layer-Adaptive Active Experts for Efficient MoE Model Inference
por: Chitty-Venkata, Krishna Teja, et al.
Publicado: (2025) -
Extending $μ$P: Spectral Conditions for Feature Learning Across Optimizers
por: Gupta, Akshita, et al.
Publicado: (2026)