Daniel Augusto de Souza, Alexander Nikitin, Ti John, Magnus Ross, Mauricio A. Alvarez, Marc Peter Deisenroth, Joao Paulo Pordeus Gomes, Diego Parente Paiva Mesquita, Cesar Lincoln Mattos 2024 Advances in Neural Information Processing Systems 36 - 37th Conference on Neural Information Processing Systems, NeurIPS 2023

Alexander Nikitin

Tutkimusryhmät

Julkaisut

Kernel Language Entropy: Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities

LUQ: Language Models Uncertainty Quantification Toolkit

TSGM: A Flexible Framework for Generative Modeling of Synthetic Time Series

Thin and deep Gaussian processes

Probabilistic Methods for Predictive Maintenance and Beyond: Graph and Human-in-the-Loop Machine Learning

Human-in-the-Loop Large-Scale Predictive Maintenance of Workstations

Non-separable spatio-temporal graph kernels via SPDEs

Decision Rule Elicitation for Domain Adaptation