Randolf Scholz

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 13

Top Topics

Financial Time Series

Weather Forecasting

Top Venues

J. Intell. Fuzzy Syst.

Comput. Chem. Eng.

Publications

Federico Mione, Lucas Kaspersetz, Martin F. Luna, Judit Aizpuru, Randolf Scholz, Maxim Borisyak, Annina Karolin Kemmer, Marie-Therese Schermeyer, Ernesto C. Martínez, Peter Neubauer, Mariano Nicolás Cruz Bournazou
A workflow management system for reproducible and interoperable high-throughput self-driving experiments. Comput. Chem. Eng. 187 (2024)
Vijaya Krishna Yalavarthi, Kiran Madhusudhanan, Randolf Scholz, Nourhan Ahmed, Johannes Burchert, Shayan Jawed, Stefan Born, Lars Schmidt-Thieme
GraFITi: Graphs for Forecasting Irregularly Sampled Time Series. AAAI (2024)
Vijaya Krishna Yalavarthi, Randolf Scholz, Stefan Born, Lars Schmidt-Thieme
Probabilistic Forecasting of Irregular Time Series via Conditional Flows. CoRR (2024)
Vijaya Krishna Yalavarthi, Randolf Scholz, Kiran Madhusudhanan, Stefan Born, Lars Schmidt-Thieme
Marginalization Consistent Mixture of Separable Flows for Probabilistic Irregular Time Series Forecasting. CoRR (2024)
Vijaya Krishna Yalavarthi, Kiran Madusudanan, Randolf Scholz, Nourhan Ahmed, Johannes Burchert, Shayan Jawed, Stefan Born, Lars Schmidt-Thieme
Forecasting Irregularly Sampled Time Series using Graphs. CoRR (2023)
Mesay Samuel Gondere, Lars Schmidt-Thieme, Durga Prasad Sharma, Randolf Scholz
Multi-script handwritten digit recognition using multi-task learning. J. Intell. Fuzzy Syst. 43 (1) (2022)
Nghia Duong-Trung, Stefan Born, Jong Woo Kim, Marie-Therese Schermeyer, Katharina Paulick, Maxim Borisyak, Ernesto Martinez, Mariano Nicolás Cruz Bournazou, Thorben Werner, Randolf Scholz, Lars Schmidt-Thieme, Peter Neubauer
When Bioprocess Engineering Meets Machine Learning: A Survey from the Perspective of Automated Bioprocess Development. CoRR (2022)
Nghia Duong-Trung, Stefan Born, Kiran Madhusudhanan, Randolf Scholz, Johannes Burchert, Danh Le Phuoc, Lars Schmidt-Thieme
Put Attention to Temporal Saliency Patterns of Multi-Horizon Time Series. CoRR (2022)
Raaghav Radhakrishnan, Jan Fabian Schmid, Randolf Scholz, Lars Schmidt-Thieme
Deep Metric Learning for Ground Images. CoRR (2021)
Mesay Samuel Gondere, Lars Schmidt-Thieme, Durga Prasad Sharma, Randolf Scholz
Multi-script Handwritten Digit Recognition Using Multi-task Learning. CoRR (2021)
Sebastian Pineda-Arango, David Obando-Paniagua, Alperen Dedeoglu, Philip Kurzendörfer, Friedemann Schestag, Randolf Scholz
Improving Sample Efficiency with Normalized RBF Kernels. CoRR (2020)
Lukas Brinkmeyer, Rafael Rêgo Drumond, Randolf Scholz, Josif Grabocka, Lars Schmidt-Thieme
Chameleon: Learning Model Initializations Across Tasks With Different Schemas. CoRR (2019)
Josif Grabocka, Randolf Scholz, Lars Schmidt-Thieme
Learning Surrogate Losses. CoRR (2019)