Vanessa Böhm

According to our database, Vanessa Böhm authored at least 8 papers between 2014 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

SAR-based landslide classification pretraining leads to better segmentation.

Vanessa Böhm, Wei Ji Leong, Ragini Bal Mahesh, Ioannis Prapas, Edoardo Nemni, Freddie Kalaitzis, Siddha Ganju, Raúl Ramos-Pollán

CoRR, 2022

Deep Learning for Rapid Landslide Detection using Synthetic Aperture Radar (SAR) Datacubes.

Vanessa Böhm, Wei Ji Leong, Ragini Bal Mahesh, Ioannis Prapas, Edoardo Nemni, Freddie Kalaitzis, Siddha Ganju, Raúl Ramos-Pollán

CoRR, 2022

A Probabilistic Autoencoder for Type Ia Supernovae Spectral Time Series.

George Stein, Uros Seljak, Vanessa Böhm, G. Aldering, P. Antilogus, C. Aragon, S. Bailey, C. Baltay, Sébastien Bongard, K. Boone, C. Buton, Y. Copin, S. Dixon, Dominique Fouchez, Emmanuel Gangler, R. Gupta, B. Hayden, W. Hillebrandt, M. Karmen, A. G. Kim, M. Kowalski, D. Kusters, P. F. Leget, F. Mondon, J. Nordin, R. Pain, E. Pecontal, R. Pereira, S. Perlmutter, K. A. Ponder, D. Rabinowitz, M. Rigault, D. Rubin, K. Runge, C. Saunders, G. Smadja, N. Suzuki, C. Tao, Rollin C. Thomas, Maria Vincenzi

CoRR, 2022

2021

MADLens, a python package for fast and differentiable non-Gaussian lensing simulations.

Vanessa Böhm, Y. Feng, M. E. Lee, Biwei Dai

Astron. Comput., 2021

2020

Probabilistic Auto-Encoder.

Vanessa Böhm, Uros Seljak

CoRR, 2020

Transformation Importance with Applications to Cosmology.

Chandan Singh, Wooseok Ha, François Lanusse, Vanessa Böhm, Jia Liu, Bin Yu

CoRR, 2020

2019

Uncertainty Quantification with Generative Models.

Vanessa Böhm, François Lanusse, Uros Seljak

CoRR, 2019

2014

Signal inference with unknown response: calibration uncertainty renormalized estimator.

Sebastian Dorn, Torsten A. Enßlin, Maksim Greiner, Marco Selig, Vanessa Böhm

CoRR, 2014