simulations
Simulations are computational experiments used to mimic the operation of real-world processes or systems, facilitating testing and validation of AI models in controlled environments before deployment.
- A Principled Path to Fitted Distributional Evaluation
- A multiscale analysis of mean-field transformers in the moderate interaction regime
- A multiscale analysis of mean-field transformers in the moderate interaction regime
- Analog In-memory Training on General Non-ideal Resistive Elements: The Impact of Response Functions
- Audits Under Resource, Data, and Access Constraints: Scaling Laws For Less Discriminatory Alternatives
- Bernstein–von Mises for Adaptively Collected Data
- Clustering via Hedonic Games: New Concepts and Algorithms
- Handling Missing Responses under Cluster Dependence with Applications to Language Model Evaluation
- Low-Rank Graphon Learning for Networks
- Ridge Boosting is Both Robust and Efficient
- Sharp Gaussian approximations for Decentralized Federated Learning
- Slow Transition to Low-Dimensional Chaos in Heavy-Tailed Recurrent Neural Networks
- Wasserstein Transfer Learning