Valero Laparra - Related publications

research scientist Universitat de Valencia, Spain 
 2015-2016 New York University, New York, NY, United States 
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10 most relevant papers in past 60 days:
Year Citation  Score
2022 Gonçalves FB, Dutra LM, Silva RWC. Exact and computationally efficient Bayesian inference for generalized Markov modulated Poisson processes. Statistics and Computing. 32: 14. PMID 35013655 DOI: 10.1007/s11222-021-10074-y   
2022 Teşileanu T, Golkar S, Nasiri S, Sengupta AM, Chklovskii DB. Neural Circuits for Dynamics-Based Segmentation of Time Series. Neural Computation. 1-49. PMID 35026035 DOI: 10.1162/neco_a_01476   
2022 Hsu C, Nisonoff H, Fannjiang C, Listgarten J. Learning protein fitness models from evolutionary and assay-labeled data. Nature Biotechnology. PMID 35039677 DOI: 10.1038/s41587-021-01146-5   
2022 Tran MQ, Do T, Tran H, Tjiputra E, Tran QD, Nguyen A. Light-weight Deformable Registration using Adversarial Learning with Distilling Knowledge. Ieee Transactions On Medical Imaging. PMID 34990354 DOI: 10.1109/TMI.2022.3141013   
2022 Kim T, Lee S. Geometry-Aware Deep Video Deblurring via Recurrent Feature Refinement. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. PMID 34995189 DOI: 10.1109/TIP.2021.3137019   
2022 Liu R, Ma L, Yuan X, Zeng S, Zhang J. Task-Oriented Convex Bilevel Optimization with Latent Feasibility. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. PMID 35015638 DOI: 10.1109/TIP.2022.3140607   
2022 Cheng D, Li J, Liu L, Yu K, Le TD, Liu J. Toward Unique and Unbiased Causal Effect Estimation From Data With Hidden Variables. Ieee Transactions On Neural Networks and Learning Systems. PMID 34995195 DOI: 10.1109/TNNLS.2021.3133337   
2022 Sohns JT, Schmitt M, Jirasek F, Hasse H, Leitte H. Attribute-based Explanation of Non-Linear Embeddings of High-Dimensional Data. Ieee Transactions On Visualization and Computer Graphics. 28: 540-550. PMID 34587086 DOI: 10.1109/TVCG.2021.3114870   
2022 Kwon Y, Lee D, Choi YS, Kang S. Uncertainty-aware prediction of chemical reaction yields with graph neural networks. Journal of Cheminformatics. 14: 2. PMID 35012654 DOI: 10.1186/s13321-021-00579-z   
2022 Yu CH, Li M, Noe C, Fischer-Baum S, Vannucci M. Bayesian inference for stationary points in gaussian process regression models for event-related potentials analysis. Biometrics. PMID 34997758 DOI: 10.1111/biom.13621