Miguel Lzaro-Gredilla
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
16
Venues
9
Active years
2007–2025
Best venue rank
A*
Where they publish
Papers
16 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICML | Improving Transformer World Models for Data-Efficient RL. | Antoine Dedieu, Joseph Ortiz, Xinghua Lou, Carter Wendelken, J. Swaroop Guntupalli, Wolfgang Lehrach, Miguel Lzaro-Gredilla, Kevin Patrick Murphy |
| 2024 | ICML | Learning Cognitive Maps from Transformer Representations for Efficient Planning in Partially Observed Environments. | Antoine Dedieu, Wolfgang Lehrach, Guangyao Zhou, Dileep George, Miguel Lzaro-Gredilla |
| 2023 | ICCV | 3D Neural Embedding Likelihood: Probabilistic Inverse Graphics for Robust 6D Pose Estimation. | Guangyao Zhou, Nishad Gothoskar, Lirui Wang, Joshua B. Tenenbaum, Dan Gutfreund, Miguel Lzaro-Gredilla, Dileep George, Vikash K. Mansinghka |
| 2023 | ICML | Learning Noisy OR Bayesian Networks with Max-Product Belief Propagation. | Antoine Dedieu, Guangyao Zhou, Dileep George, Miguel Lzaro-Gredilla |
| 2022 | ICRA | DURableVS: Data-efficient Unsupervised Recalibrating Visual Servoing via online learning in a structured generative model. | Nishad Gothoskar, Miguel Lzaro-Gredilla, Yasemin Bekiroglu, Abhishek Agarwal, Joshua B. Tenenbaum, Vikash K. Mansinghka, Dileep George |
| 2021 | AAAI | Sample-Efficient L0-L2 Constrained Structure Learning of Sparse Ising Models. | Antoine Dedieu, Miguel Lzaro-Gredilla, Dileep George |
| 2021 | AAAI | Query Training: Learning a Worse Model to Infer Better Marginals in Undirected Graphical Models with Hidden Variables. | Miguel Lzaro-Gredilla, Wolfgang Lehrach, Nishad Gothoskar, Guangyao Zhou, Antoine Dedieu, Dileep George |
| 2020 | CogSci | A Model of Fast Concept Inference with Object-Factorized Cognitive Programs. | Daniel P. Sawyer, Miguel Lzaro-Gredilla, Dileep George |
| 2018 | AISTATS | Variational Rejection Sampling. | Aditya Grover, Ramki Gummadi, Miguel Lzaro-Gredilla, Dale Schuurmans, Stefano Ermon |
| 2017 | ICML | Schema Networks: Zero-shot Transfer with a Generative Causal Model of Intuitive Physics. | Ken Kansky, Tom Silver, David A. Mly, Mohamed Eldawy, Miguel Lzaro-Gredilla, Xinghua Lou, Nimrod Dorfman, Szymon Sidor, D. Scott Phoenix, Dileep George |
| 2015 | IGARSS | Biophysical parameter retrieval with warped Gaussian processes. | Jordi Muoz-Mar, Jochem Verrelst, Miguel Lzaro-Gredilla, Gustau Camps-Valls |
| 2014 | ICML | Doubly Stochastic Variational Bayes for non-Conjugate Inference. | Michalis K. Titsias, Miguel Lzaro-Gredilla |
| 2013 | IGARSS | Estimation of vegetation chlorophyll content with Variational Heteroscedastic Gaussian Processes. | Miguel Lzaro-Gredilla, Michalis K. Titsias, Jochem Verrelst, Gustavo Camps-Valls |
| 2011 | ICASSP | Tracking performance of adaptively biased adaptive filters. | Jernimo Arenas-Garca, Miguel Lzaro-Gredilla |
| 2011 | ICML | Variational Heteroscedastic Gaussian Process Regression. | Miguel Lzaro-Gredilla, Michalis K. Titsias |
| 2007 | IWINAC | A Single Layer Perceptron Approach to Selective Multi-task Learning. | Jaisiel Madrid-Snchez, Miguel Lzaro-Gredilla, Anbal R. Figueiras-Vidal |