3 papers
cs.AI2026
Anomaly detection in time-series via inductive biases in the latent space of conditional normalizing flows
David Baumgartner, Eliezer de Souza da Silva, Iñigo Urteaga
Deep generative models for anomaly detection in multivariate time-series are typically trained by maximizing observed data likelihood. However, likelihood in observation space meas…
cs.CL2026
MATH-PT: A Math Reasoning Benchmark for European and Brazilian Portuguese
Tiago Teixeira, Ana Carolina Erthal, Juan Belieni +5
The use of large language models (LLMs) for complex mathematical reasoning is an emergent area of research, with fast progress in methods, models, and benchmark datasets. However,…
cs.LG2026
On the Identifiability of Tensor Ranks via Prior Predictive Matching
Eliezer da Silva, Arto Klami, Diego Mesquita +1
Selecting the latent dimensions (ranks) in tensor factorization is a central challenge that often relies on heuristic methods. This paper introduces a rigorous approach to determin…