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Felix Laumann
Felix Laumann
Bestätigte E-Mail-Adresse bei imperial.ac.uk - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Uncertainty estimations by softplus normalization in Bayesian convolutional neural networks with variational inference
K Shridhar, F Laumann, M Liwicki
10th International Workshop on Simulation and Statistics, 2019
712019
Complex interlinkages, key objectives, and nexuses among the Sustainable Development Goals and climate change: a network analysis
F Laumann, J von Kügelgen, THK Uehara, M Barahona
The Lancet Planetary Health 6 (5), e422-e430, 2022
462022
Indic-transformers: An analysis of transformer language models for Indian languages
K Jain, A Deshpande, K Shridhar, F Laumann, A Dash
arXiv preprint arXiv:2011.02323, 2020
402020
Enterprise architecture for a facilitated transformation from a linear to a circular economy
F Laumann, T Tambo
Sustainability 10 (11), 3882, 2018
282018
Energy harvesting through piezoelectricity - technology foresight
F Laumann, M Møller Sørensen, RF Jul Lindemann, T Mølholm Hansen, ...
Energy Procedia 142, 3062-3068, 2017
222017
One to rule them all: Towards joint indic language hate speech detection
M Bhatia, TS Bhotia, A Agarwal, P Ramesh, S Gupta, K Shridhar, ...
arXiv preprint arXiv:2109.13711, 2021
172021
A hybrid approach to identifying and assessing interactions between climate action (SDG13) policies and a range of SDGs in a UK context
S Stevenson, A Collins, N Jennings, AC Köberle, F Laumann, AA Laverty, ...
Discover Sustainability 2 (1), 43, 2021
72021
The neuron mixer and its impact on human brain dynamics
CE Luff, R Peach, EJ Mallas, E Rhodes, F Laumann, ES Boyden, ...
Cell Reports 43 (6), 2024
62024
Kernel Two-Sample and Independence Tests for Non-Stationary Random Processes
F Laumann, J von Kügelgen, M Barahona
Engineering Proceedings 5 (1), 2021
62021
Kernel-based independence tests for causal structure learning on functional data
F Laumann, J Von Kügelgen, J Park, B Schölkopf, M Barahona
Entropy 25 (12), 1597, 2023
42023
Enterprise architecture for a facilitated transformation from a linear to a circular economy. Sustainability, 10., 3882
F Laumann, T Tambo
42018
Non-linear interlinkages and key objectives amongst the Paris Agreement and the Sustainable Development Goals
F Laumann, J von Kügelgen, M Barahona
ICLR 2020 Workshop 'Tackling Climate Change with Machine Learning', 2020
32020
Bayesian transfer learning for deep networks
J Wohlert, A Munk, S Sengupta, F Laumann
ViXra, 2018
22018
Kernel-based joint independence tests for multivariate stationary and non-stationary time series
Z Liu, RL Peach, F Laumann, S Vallejo Mengod, M Barahona
Royal Society Open Science 10 (11), 230857, 2023
12023
A continuous structural intervention distance to compare causal graphs
M Dhanakshirur, F Laumann, J Park, M Barahona
arXiv preprint arXiv:2307.16452, 2023
12023
Bayesian convolutional neural network
K Shridhar
University of Kaiserslautern, 2019
12019
Correction to Lancet Planet Health 2022; 6: e422–30
F Laumann, J von Kügelgen, TH Kanashiro Uehara, M Barahona, J Liu, ...
2022
Complex interlinkages, key objectives, and nexuses among the Sustainable Development Goals and climate change: a network analysis (vol 6, e422, 2022)
F Laumann, J von Kügelgen, KTH Uehara, M Barahona
LANCET PLANETARY HEALTH 6 (8), E644-E644, 2022
2022
Discover Sustainability
S Stevenson, A Collins, N Jennings, AC Köberle, F Laumann, AA Laverty, ...
2021
ABLE DEVELOPMENT GOALS
F Laumann, J von Kügelgen, M Barahona
arXiv preprint arXiv:2004.09318, 2020
2020
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