01.12.2021

MCML at NeurIPS 2021
35th Conference on Neural Information Processing Systems (NeurIPS 2021), December 6–14, 2021, Virtual
We are happy to announce that MCML researchers are represented at NeurIPS 2021.
We are happy to announce that MCML researchers are represented with 6 papers at NeurIPS 2021:
M. Mittermeier, M. Weigert and D. Rügamer.
Identifying the atmospheric drivers of drought and heat using a smoothed deep learning approach. (Workshop paper).
PDF.
Identifying the atmospheric drivers of drought and heat using a smoothed deep learning approach. (Workshop paper).
PDF.
T. Weber, M. Ingrisch, B. Bischl and D. Rügamer.
Towards modelling hazard factors in unstructured data spaces using gradient-based latent interpolation. (Workshop paper).
PDF.
Towards modelling hazard factors in unstructured data spaces using gradient-based latent interpolation. (Workshop paper).
PDF.
T. Weber, M. Ingrisch, M. Fabritius, B. Bischl and D. Rügamer.
Survival-oriented embeddings for improving accessibility to complex data structures. (Workshop paper).
arXiv.
Survival-oriented embeddings for improving accessibility to complex data structures. (Workshop paper).
arXiv.
M. Weber, J. Xie, M. Collins, Y. Zhu, H. Adam, B. Green, A. Geiger, D. Cremers, A. Ošep, L. Leal-Taixé, P. Voigtlaender and B. Chen.
STEP: Segmenting and Tracking Every Pixel.
PDF.
STEP: Segmenting and Tracking Every Pixel.
PDF.
Y. Zhang, A. Khakzar, Y. Li, A. Farshad, S. T. Kim and N. Navab.
Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information.
URL.
Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information.
URL.
01.12.2021
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