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ORCIDChristoph N. Straehle
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2020 – today
- 2024
[i8]Alexander Timans, Christoph-Nikolas Straehle, Kaspar Sakmann, Eric T. Nalisnick:
Adaptive Bounding Box Uncertainties via Two-Step Conformal Prediction. CoRR abs/2403.07263 (2024)- 2023
- [j3]Damian Boborzi
, Christoph-Nikolas Straehle, Jens S. Buchner, Lars Mikelsons:
Imitation learning by state-only distribution matching. Appl. Intell. 53(24): 30865-30886 (2023) - [j2]Robert Schmier, Ullrich Köthe, Christoph-Nikolas Straehle:
Positive Difference Distribution for Image Outlier Detection using Normalizing Flows and Contrastive Data. Trans. Mach. Learn. Res. 2023 (2023) - 2022
- [j1]Philipp Geiger, Christoph-Nikolas Straehle:
Fail-Safe Adversarial Generative Imitation Learning. Trans. Mach. Learn. Res. 2022 (2022) - [i7]Damian Boborzi, Christoph-Nikolas Straehle, Jens S. Buchner, Lars Mikelsons:
Imitation Learning by State-Only Distribution Matching. CoRR abs/2202.04332 (2022) - [i6]Philipp Geiger, Christoph-Nikolas Straehle:
Fail-Safe Generative Adversarial Imitation Learning. CoRR abs/2203.01696 (2022) - [i5]Robert Schmier, Ullrich Köthe, Christoph-Nikolas Straehle:
Anomaly Detection using Contrastive Normalizing Flows. CoRR abs/2208.14024 (2022) - 2021
- [c12]Philipp Geiger, Christoph-Nikolas Straehle:
Learning Game-Theoretic Models of Multiagent Trajectories Using Implicit Layers. AAAI 2021: 4950-4958 - [c11]Damian Boborzi, Christoph-Nikolas Straehle, Jens S. Buchner, Lars Mikelsons:
Learning Normalizing Flow Policies Based on Highway Demonstrations. ITSC 2021: 22-29 - 2020
- [c10]Apratim Bhattacharyya, Christoph-Nikolas Straehle, Mario Fritz, Bernt Schiele:
Haar Wavelet Based Block Autoregressive Flows for Trajectories. GCPR 2020: 275-288 - [i4]Jalal Etesami, Christoph-Nikolas Straehle:
Non-cooperative Multi-agent Systems with Exploring Agents. CoRR abs/2005.12360 (2020) - [i3]Philipp Geiger, Christoph Nikolas Straehle:
Multiagent trajectory models via game theory and implicit layer-based learning. CoRR abs/2008.07303 (2020) - [i2]Apratim Bhattacharyya, Christoph-Nikolas Straehle, Mario Fritz, Bernt Schiele:
Haar Wavelet based Block Autoregressive Flows for Trajectories. CoRR abs/2009.09878 (2020)
2010 – 2019
- 2019
- [i1]Apratim Bhattacharyya, Michael Hanselmann, Mario Fritz, Bernt Schiele, Christoph-Nikolas Straehle:
Conditional Flow Variational Autoencoders for Structured Sequence Prediction. CoRR abs/1908.09008 (2019) - 2017
- [c9]Arvind Kumar Shekar, Tom Bocklisch, Patricia Iglesias Sánchez, Christoph Nikolas Straehle, Emmanuel Müller:
Including Multi-feature Interactions and Redundancy for Feature Ranking in Mixed Datasets. ECML/PKDD (1) 2017: 239-255 - 2014
- [b1]Christoph Nikolas Straehle:
Interactive segmentation, uncertainty and learning. University of Heidelberg, Germany, 2014, pp. 1-100 - [c8]Christoph N. Straehle, Melih Kandemir, Ullrich Köthe, Fred A. Hamprecht:
Multiple Instance Learning with Response-Optimized Random Forests. ICPR 2014: 3768-3773 - 2013
- [c7]Sven Wanner, Christoph N. Straehle, Bastian Goldluecke:
Globally Consistent Multi-label Assignment on the Ray Space of 4D Light Fields. CVPR 2013: 1011-1018 - [c6]Christoph N. Straehle, Sven Peter, Ullrich Köthe, Fred A. Hamprecht:
K-Smallest Spanning Tree Segmentations. GCPR 2013: 375-384 - [c5]Christoph N. Straehle, Ullrich Köthe, Fred A. Hamprecht:
Weakly Supervised Learning of Image Partitioning Using Decision Trees with Structured Split Criteria. ICCV 2013: 1849-1856 - 2012
- [c4]Christoph N. Straehle, Ullrich Köthe, Graham Knott, Kevin L. Briggman, Winfried Denk, Fred A. Hamprecht:
Seeded watershed cut uncertainty estimators for guided interactive segmentation. CVPR 2012: 765-772 - 2011
- [c3]Anna Kreshuk, Christoph N. Straehle, Christoph Sommer, Ullrich Köthe, Graham Knott, Fred A. Hamprecht:
Automated segmentation of synapses in 3D EM data. ISBI 2011: 220-223 - [c2]Christoph Sommer, Christoph N. Straehle, Ullrich Köthe, Fred A. Hamprecht:
Ilastik: Interactive learning and segmentation toolkit. ISBI 2011: 230-233 - [c1]Christoph N. Straehle, Ullrich Köthe, Graham Knott, Fred A. Hamprecht:
Carving: Scalable Interactive Segmentation of Neural Volume Electron Microscopy Images. MICCAI (1) 2011: 653-660
Coauthor Index
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last updated on 2024-06-10 20:30 CEST by the dblp team
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