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Randolf Scholz
Observed name:
Scholz, Randolf
Institution:
University of Hildesheim
Observed institution:
University of Hildesheim
ORCID:
0009-0002-1160-6537
Observed ORCID:
0009-0002-1160-6537
OpenAlex ID:
A5028194549
When bioprocess engineering meets machine learning: A survey from the perspective of automated bioprocess development
2022
·
Nghia Duong-Trung
, Stefan Born
, et al.
·
Biochemical Engineering Journal
·
60
PDF
GraFITi: Graphs for Forecasting Irregularly Sampled Time Series
2024
·
Vijaya Krishna Yalavarthi
, Kiran Madhusudhanan
, et al.
·
Proceedings of the AAAI Conference on Artificial Intelligence
·
45
PDF
Learning Surrogate Losses
2019
·
Grabocka, Josif
, Scholz, Randolf
, et al.
·
arXiv (Cornell University)
·
45
PDF
A workflow management system for reproducible and interoperable high-throughput self-driving experiments
2024
·
Federico M. Mione
, Lucas Kaspersetz
, et al.
·
Computers & Chemical Engineering
·
15
RETRACTED: Multi-script handwritten digit recognition using multi-task learning
2022
·
Mesay Samuel Gondere
, Lars Schmidt-Thieme
, et al.
·
Journal of Intelligent & Fuzzy Systems
·
10
PDF
Chameleon: Learning Model Initializations Across Tasks With Different Schemas
2019
·
Brinkmeyer, Lukas
, Drumond, Rafael Rego
, et al.
·
arXiv (Cornell University)
·
8
PDF
Probabilistic Forecasting of Irregularly Sampled Time Series with Missing Values via Conditional Normalizing Flows
2025
·
Vijaya Krishna Yalavarthi
, Randolf Scholz
, et al.
·
Proceedings of the AAAI Conference on Artificial Intelligence
·
4
PDF
Deep Metric Learning for Ground Images
2021
·
Radhakrishnan, Raaghav
, Schmid, Jan Fabian
, et al.
·
arXiv (Cornell University)
·
4
PDF
Physiome-ODE: A Benchmark for Irregularly Sampled Multivariate Time Series Forecasting Based on Biological ODEs
2025
·
Klötergens, Christian
, Yalavarthi, Vijaya Krishna
, et al.
·
arXiv (Cornell University)
·
3
PDF
Probabilistic Forecasting of Irregular Time Series via Conditional Flows
2024
·
Yalavarthi, Vijaya Krishna
, Scholz, Randolf
, et al.
·
arXiv (Cornell University)
·
3
PDF
Improving Sample Efficiency with Normalized RBF Kernels
2020
·
Pineda-Arango, Sebastian
, Obando-Paniagua, David
, et al.
·
arXiv (Cornell University)
·
3
PDF
Marginalization Consistent Probabilistic Forecasting of Irregular Time Series via Mixture of Separable flows
2024
·
Yalavarthi, Vijaya Krishna
, Scholz, Randolf
, et al.
·
arXiv (Cornell University)
·
1
PDF
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Works count:
14
Citation count:
201
H-index:
6
I10-index:
5
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