Randolf Scholz

16 papers A* 3Journal 12Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Physiome-ODE: A Benchmark for Irregularly Sampled Multivariate Time Series Forecasting Based on Biological ODEs.
CoRR
Christian Klötergens, Vijaya Krishna Yalavarthi, Randolf Scholz, Maximilian Stubbemann, Stefan Born, Lars Schmidt-Thieme
2025 A* conf
Physiome-ODE: A Benchmark for Irregularly Sampled Multivariate Time-Series Forecasting Based on Biological ODEs.
ICLR
Christian Klötergens, Vijaya Krishna Yalavarthi, Randolf Scholz, Maximilian Stubbemann, Stefan Born, Lars Schmidt-Thieme
2025 A* conf
Probabilistic Forecasting of Irregularly Sampled Time Series with Missing Values via Conditional Normalizing Flows.
AAAI
Vijaya Krishna Yalavarthi, Randolf Scholz, Stefan Born, Lars Schmidt-Thieme
2024 J jnl
A workflow management system for reproducible and interoperable high-throughput self-driving experiments.
Comput. Chem. Eng.
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
2024 A* conf
GraFITi: Graphs for Forecasting Irregularly Sampled Time Series.
AAAI
Vijaya Krishna Yalavarthi, Kiran Madhusudhanan, Randolf Scholz, Nourhan Ahmed, Johannes Burchert, Shayan Jawed, Stefan Born, Lars Schmidt-Thieme
2024 — conf
Learning Set Embeddings for Fashion Compatibility Recommendation.
SURE@RecSys
Indra Firmansyah, Randolf Scholz, Adrian Nahmendorff, Ngoc Son Le, Shereen Elsayed, Lars Schmidt-Thieme
2024 J jnl
Marginalization Consistent Mixture of Separable Flows for Probabilistic Irregular Time Series Forecasting.
CoRR
Vijaya Krishna Yalavarthi, Randolf Scholz, Kiran Madhusudhanan, Stefan Born, Lars Schmidt-Thieme
2024 J jnl
Probabilistic Forecasting of Irregular Time Series via Conditional Flows.
CoRR
Vijaya Krishna Yalavarthi, Randolf Scholz, Stefan Born, Lars Schmidt-Thieme
2023 J jnl
Forecasting Irregularly Sampled Time Series using Graphs.
CoRR
Vijaya Krishna Yalavarthi, Kiran Madusudanan, Randolf Scholz, Nourhan Ahmed, Johannes Burchert, Shayan Jawed, Stefan Born, Lars Schmidt-Thieme
2022 J jnl
Put Attention to Temporal Saliency Patterns of Multi-Horizon Time Series.
CoRR
Nghia Duong-Trung, Stefan Born, Kiran Madhusudhanan, Randolf Scholz, Johannes Burchert, Danh Le Phuoc, Lars Schmidt-Thieme
2022 J jnl
When Bioprocess Engineering Meets Machine Learning: A Survey from the Perspective of Automated Bioprocess Development.
CoRR
Nghia Duong-Trung, Stefan Born, Jong Woo Kim, Marie-Therese Schermeyer, Katharina Paulick, Maxim Borisyak, Ernesto C. Martínez, Mariano Nicolás Cruz Bournazou, Thorben Werner, Randolf Scholz, Lars Schmidt-Thieme, Peter Neubauer
2021 J jnl
Deep Metric Learning for Ground Images.
CoRR
Raaghav Radhakrishnan, Jan Fabian Schmid, Randolf Scholz, Lars Schmidt-Thieme
2021 J jnl
Multi-script Handwritten Digit Recognition Using Multi-task Learning.
CoRR
Mesay Samuel Gondere, Lars Schmidt-Thieme, Durga Prasad Sharma, Randolf Scholz
2020 J jnl
Improving Sample Efficiency with Normalized RBF Kernels.
CoRR
Sebastian Pineda-Arango, David Obando-Paniagua, Alperen Dedeoglu, Philip Kurzendörfer, Friedemann Schestag, Randolf Scholz
2019 J jnl
Chameleon: Learning Model Initializations Across Tasks With Different Schemas.
CoRR
Lukas Brinkmeyer, Rafael Rêgo Drumond, Randolf Scholz, Josif Grabocka, Lars Schmidt-Thieme
2019 J jnl
Learning Surrogate Losses.
CoRR
Josif Grabocka, Randolf Scholz, Lars Schmidt-Thieme