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ORCIDKashif Rasul
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2020 – today
- 2021
[i6]Kashif Rasul, Calvin Seward, Ingmar Schuster, Roland Vollgraf:
Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting. CoRR abs/2101.12072 (2021)- 2020
- [i5]Kashif Rasul, Abdul-Saboor Sheikh, Ingmar Schuster, Urs Bergmann, Roland Vollgraf:
Multi-variate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows. CoRR abs/2002.06103 (2020)
2010 – 2019
- 2019
- [c2]Alan Akbik, Tanja Bergmann, Duncan Blythe, Kashif Rasul, Stefan Schweter, Roland Vollgraf:
FLAIR: An Easy-to-Use Framework for State-of-the-Art NLP. NAACL-HLT (Demonstrations) 2019: 54-59 - [i4]Andreas Merentitis, Kashif Rasul, Roland Vollgraf, Abdul-Saboor Sheikh, Urs Bergmann:
A Bandit Framework for Optimal Selection of Reinforcement Learning Agents. CoRR abs/1902.03657 (2019) - [i3]Kashif Rasul, Ingmar Schuster, Roland Vollgraf, Urs Bergmann:
Set Flow: A Permutation Invariant Normalizing Flow. CoRR abs/1909.02775 (2019) - 2017
- [i2]Han Xiao, Kashif Rasul, Roland Vollgraf:
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms. CoRR abs/1708.07747 (2017) - [i1]Abdul-Saboor Sheikh, Kashif Rasul, Andreas Merentitis, Urs Bergmann:
Stochastic Maximum Likelihood Optimization via Hypernetworks. CoRR abs/1712.01141 (2017)
2000 – 2009
- 2002
- [c1]Gabrielle Allen, Kelly Davis, Thomas Dramlitsch, Tom Goodale
, Ian Kelley, Gerd Lanfermann, Jason Novotny, Thomas Radke, Kashif Rasul, Michael Russell, Edward Seidel, Oliver Wehrens:
The GridLab Grid Application Toolkit. HPDC 2002: 411
Coauthor Index
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