Vanessa Böhm

Publication Activity (10 Years)

Years Active: 2014-2022
Publications (10 Years): 6

Top Topics

Robust Classification

Stochastic Simulation

Fukunaga Koontz

Generative Model

Top Venues

Astron. Comput.

Publications

Vanessa Böhm, Wei Ji Leong, Ragini Bal Mahesh, Ioannis Prapas, Edoardo Nemni, Freddie Kalaitzis, Siddha Ganju, Raúl Ramos-Pollán
SAR-based landslide classification pretraining leads to better segmentation. CoRR (2022)
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, R. C. Thomas, M. Vincenzi
A Probabilistic Autoencoder for Type Ia Supernovae Spectral Time Series. CoRR (2022)
Vanessa Böhm, Y. Feng, M. E. Lee, Biwei Dai
MADLens, a python package for fast and differentiable non-Gaussian lensing simulations. Astron. Comput. 36 (2021)
Vanessa Böhm, Uros Seljak
Probabilistic Auto-Encoder. CoRR (2020)
Chandan Singh, Wooseok Ha, Francois Lanusse, Vanessa Böhm, Jia Liu, Bin Yu
Transformation Importance with Applications to Cosmology. CoRR (2020)
Vanessa Böhm, François Lanusse, Uros Seljak
Uncertainty Quantification with Generative Models. CoRR (2019)
Sebastian Dorn, Torsten A. Enßlin, Maksim Greiner, Marco Selig, Vanessa Böhm
Signal inference with unknown response: calibration uncertainty renormalized estimator. CoRR (2014)