Ignacio Peis - RankMe

13 papers A* 3Journal 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Scalable physical source-to-field inference with hypernetworks. Trans. Mach. Learn. Res. Berian James, Stefan Pollok, Ignacio Peis, Elizabeth Louise Baker, Jes Frellsen, Rasmus Bjørk
2025	A*	`conf`	Hyper-Transforming Latent Diffusion Models. ICML Ignacio Peis, Batuhan Koyuncu, Isabel Valera, Jes Frellsen
2025	J	`jnl`	Hyper-Transforming Latent Diffusion Models. CoRR Ignacio Peis, Batuhan Koyuncu, Isabel Valera, Jes Frellsen
2024	J	`jnl`	Scalable physical source-to-field inference with hypernetworks. CoRR Berian James, Stefan Pollok, Ignacio Peis, Jes Frellsen, Rasmus Bjørk
2023	J	`jnl`	Unsupervised learning of global factors in deep generative models. Pattern Recognit. Ignacio Peis, Pablo M. Olmos, Antonio Artés-Rodríguez
2023	J	`jnl`	Variational Mixture of HyperGenerators for Learning Distributions Over Functions. CoRR Batuhan Koyuncu, Pablo Sánchez-Martín, Ignacio Peis, Pablo M. Olmos, Isabel Valera
2023	A*	`conf`	Variational Mixture of HyperGenerators for Learning Distributions over Functions. ICML Batuhan Koyuncu, Pablo Sánchez-Martín, Ignacio Peis, Pablo M. Olmos, Isabel Valera
2022	A*	`conf`	Missing Data Imputation and Acquisition with Deep Hierarchical Models and Hamiltonian Monte Carlo. NeurIPS Ignacio Peis, Chao Ma, José Miguel Hernández-Lobato
2022	J	`jnl`	Missing Data Imputation and Acquisition with Deep Hierarchical Models and Hamiltonian Monte Carlo. CoRR Ignacio Peis, Chao Ma, José Miguel Hernández-Lobato
2020	J	`jnl`	Unsupervised Learning of Global Factors in Deep Generative Models. CoRR Ignacio Peis, Pablo M. Olmos, Antonio Artés-Rodríguez
2019	J	`jnl`	Deep Sequential Models for Suicidal Ideation From Multiple Source Data. IEEE J. Biomed. Health Informatics Ignacio Peis, Pablo M. Olmos, Constanza Vera-Varela, María Luisa Barrigón, Philippe Courtet, Enrique Baca-García, Antonio Artés-Rodríguez
2019	J	`jnl`	Deep Sequential Models for Suicidal Ideation from Multiple Source Data. CoRR Ignacio Peis, Pablo M. Olmos, Constanza Vera-Varela, María Luisa Barrigón, Philippe Courtet, Enrique Baca-García, Antonio Artés-Rodríguez
2017	J	`jnl`	A Heavy Tailed Expectation Maximization Hidden Markov Random Field Model with Applications to Segmentation of MRI. Frontiers Neuroinformatics Diego Castillo-Barnes, Ignacio Peis, Francisco Jesús Martínez-Murcia, Fermín Segovia, Ignacio A. Illán, Juan Manuel Górriz, Javier Ramírez, Diego Salas-Gonzalez