Olmos, Pablo M.

9 publications

ICLR 2026 A Probabilistic Hard Concept Bottleneck for Steerable Generative Models María Martínez-García, Ricardo Vazquez Alvarez, Alejandro Lancho, Pablo M. Olmos, Isabel Valera

ICLR 2026 Revisiting Nonstationary Kernel Design for Multi-Output Gaussian Processes Qiaochu Xu, Zi Yang, Ying Li, Michael Minyi Zhang, Pablo M. Olmos

UAI 2025 Improved Variational Inference in Discrete VAEs Using Error Correcting Codes María Martínez-García, Grace Villacrés, David Mitchell, Pablo M. Olmos

NeurIPS 2025 Multi-View Oriented GPLVM: Expressiveness and Efficiency Zi Yang, Ying Li, Zhidi Lin, Michael Minyi Zhang, Pablo M. Olmos

ICML 2024 Decoupling Feature Extraction and Classification Layers for Calibrated Neural Networks Mikkel Jordahn, Pablo M. Olmos

MIDL 2024 Diffusion X-Ray Image Denoising Daniel Sanderson, Pablo M. Olmos, Carlos Fernández Del Cerro, Manuel Desco, Mónica Abella

ICLR 2024 Efficient Local Linearity Regularization to Overcome Catastrophic Overfitting Elias Abad Rocamora, Fanghui Liu, Grigorios Chrysos, Pablo M. Olmos, Volkan Cevher

ICML 2023 Variational Mixture of HyperGenerators for Learning Distributions over Functions Batuhan Koyuncu, Pablo Sanchez Martin, Ignacio Peis, Pablo M. Olmos, Isabel Valera

NeurIPS 2011 An Application of Tree-Structured Expectation Propagation for Channel Decoding Pablo M. Olmos, Luis Salamanca, Juan Fuentes, Fernando Pérez-Cruz