Francois Lanusse

Publication Activity (10 Years)

Years Active: 2016-2022
Publications (10 Years): 11

Top Venues

CoRR

AAAI

EUSIPCO

NeurIPS

University of Paris-Saclay, France (PHD)

Education History

University of Paris-Saclay, France

PHD

Publications

Benjamin Remy, Francois Lanusse, Niall Jeffrey, Jia Liu, Jean-Luc Starck, Ken Osato, Tim Schrabback
Probabilistic Mass Mapping with Neural Score Estimation. CoRR (2022)
Keming Zhang, Joshua S. Bloom, B. Scott Gaudi, Francois Lanusse, Casey Lam, Jessica Lu
Real-Time Likelihood-Free Inference of Roman Binary Microlensing Events with Amortized Neural Posterior Estimation. CoRR (2021)
Wooseok Ha, Chandan Singh, Francois Lanusse, Eli Song, Song Dang, Kangmin He, Srigokul Upadhyayula, Bin Yu
Adaptive wavelet distillation from neural networks through interpretations. CoRR (2021)
Wooseok Ha, Chandan Singh, Francois Lanusse, Srigokul Upadhyayula, Bin Yu
Adaptive wavelet distillation from neural networks through interpretations. NeurIPS (2021)
Chandan Singh, Wooseok Ha, Francois Lanusse, Vanessa Böhm, Jia Liu, Bin Yu
Transformation Importance with Applications to Cosmology. CoRR (2020)
Keming Zhang, Joshua S. Bloom, B. Scott Gaudi, Francois Lanusse, Casey Lam, Jessica Lu
Automating Inference of Binary Microlensing Events with Neural Density Estimation. CoRR (2020)
Zaccharie Ramzi, Benjamin Remy, Francois Lanusse, Jean-Luc Starck, Philippe Ciuciu
Denoising Score-Matching for Uncertainty Quantification in Inverse Problems. CoRR (2020)
Francois Lanusse, Peter Melchior, Fred Moolekamp
Hybrid Physical-Deep Learning Model for Astronomical Inverse Problems. CoRR (2019)
Konstantinos E. Themelis, Francois Lanusse, Niall Jeffrey, Austin Peel, Jean-Luc Starck, Filipe B. Abdalla
Modelling Data with both Sparsity and a Gaussian Random Field: Application to Dark Matter Mass Mapping in Cosmology. EUSIPCO (2018)
Siamak Ravanbakhsh, Francois Lanusse, Rachel Mandelbaum, Jeff G. Schneider, Barnabás Póczos
Enabling Dark Energy Science with Deep Generative Models of Galaxy Images. AAAI (2017)
Siamak Ravanbakhsh, Francois Lanusse, Rachel Mandelbaum, Jeff G. Schneider, Barnabás Póczos
Enabling Dark Energy Science with Deep Generative Models of Galaxy Images. CoRR (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Francois Lanusse