Kristian Kersting
Identifiers
- name variant Kristian Kersting 0.60 · backfill
Papers (45)
- ORCA: An End-to-End Interactive Copilot for Optimized Root Cause Analysis cs.AI · 2026 · author #4
- Imitation learning for clinical decision support in pediatric ECMO cs.LG · 2026 · author #6
- Kintsugi: Learning Policies by Repairing Executable Knowledge Bases cs.LG · 2026 · author #9
- Neurosymbolic Imitation Learning with Human Guidance: A Privileged Information Approach cs.LG · 2026 · author #4
- All Eyes on the Workflow: Automated and Efficient Event Discovery from Video Streams cs.CV · 2026 · author #5
- GRAIL: Autonomous Concept Grounding for Neuro-Symbolic Reinforcement Learning cs.AI · 2026 · author #4
- AtManRL: Towards Faithful Reasoning via Differentiable Attention Saliency cs.CL · 2026 · author #2
- SocialGrid: A Benchmark for Planning and Social Reasoning in Embodied Multi-Agent Systems cs.AI · 2026 · author #5
- LLMs Gaming Verifiers: RLVR can Lead to Reward Hacking cs.LG · 2026 · author #8
- STORM: Segment, Track, and Object Re-Localization from a Single Image cs.CV · 2025 · author #6
- ActivationReasoning: Logical Reasoning in Latent Activation Spaces cs.LG · 2025 · author #9
- Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning cs.CL · 2025 · author #9
- SLR: Automated Synthesis for Scalable Logical Reasoning cs.AI · 2025 · author #10
- TUDataset: A collection of benchmark datasets for learning with graphs cs.LG · 2020 · author #4
- Declarative Learning-Based Programming as an Interface to AI Systems cs.AI · 2019 · author #3
- Was ist eine Professur fuer Kuenstliche Intelligenz? cs.OH · 2019 · author #1
- SPFlow: An Easy and Extensible Library for Deep Probabilistic Learning using Sum-Product Networks cs.LG · 2019 · author #8
- Model-based Approximate Query Processing cs.DB · 2018 · author #5
- Structure Learning for Relational Logistic Regression: An Ensemble Approach cs.LG · 2018 · author #7
- Automatic Bayesian Density Analysis stat.ML · 2018 · author #5
- Probabilistic Deep Learning using Random Sum-Product Networks cs.LG · 2018 · author #6
- "Why Should I Trust Interactive Learners?" Explaining Interactive Queries of Classifiers to Users stat.ML · 2018 · author #2
- Neural Conditional Gradients cs.LG · 2018 · author #3
- Lifted Filtering via Exchangeable Decomposition cs.AI · 2018 · author #4
- Sum-Product Networks for Hybrid Domains cs.LG · 2017 · author #6
- Coresets for Dependency Networks cs.AI · 2017 · author #3
- Global Weisfeiler-Lehman Graph Kernels cs.LG · 2017 · author #2
- Faster Kernels for Graphs with Continuous Attributes via Hashing cs.LG · 2016 · author #3
- Machine Learning meets Data-Driven Journalism: Boosting International Understanding and Transparency in News Coverage stat.ML · 2016 · author #10
- Lifted Convex Quadratic Programming cs.AI · 2016 · author #3
- How is a data-driven approach better than random choice in label space division for multi-label classification? cs.LG · 2016 · author #3
- The Symbolic Interior Point Method cs.AI · 2016 · author #3
- Maximum Entropy Models of Shortest Path and Outbreak Distributions in Networks cs.SI · 2015 · author #2
- High-level Reasoning and Low-level Learning for Grasping: A Probabilistic Logic Pipeline cs.RO · 2014 · author #5
- Propagation Kernels stat.ML · 2014 · author #4
- Relational Linear Programs cs.AI · 2014 · author #1
- Mind the Nuisance: Gaussian Process Classification using Privileged Noise stat.ML · 2014 · author #3
- Strong Regularities in Growth and Decline of Popularity of Social Media Services cs.SI · 2014 · author #2
- Efficient Information Theoretic Clustering on Discrete Lattices cs.CV · 2013 · author #2
- Dimension Reduction via Colour Refinement cs.DS · 2013 · author #2
- GeoDBLP: Geo-Tagging DBLP for Mining the Sociology of Computer Science cs.SI · 2013 · author #2
- Latent Dirichlet Allocation Uncovers Spectral Characteristics of Drought Stressed Plants cs.LG · 2012 · author #2
- A Revised Publication Model for ECML PKDD cs.DL · 2012 · author #2
- 'Say EM' for Selecting Probabilistic Models for Logical Sequences cs.AI · 2012 · author #1
- Counting Belief Propagation cs.AI · 2012 · author #1
Mentions
- 2605.27022 #4 · arxiv_oai · confidence 0.70 Kristian Kersting
- 1304.7984 #2 · backfill · confidence 0.70 Kristian Kersting
- 2007.08663 #4 · arxiv_oai · confidence 0.70 Kristian Kersting
- 1210.4919 #2 · backfill · confidence 0.70 Kristian Kersting
- 1207.6324 #2 · backfill · confidence 0.70 Kristian Kersting
- 1207.1353 #1 · backfill · confidence 0.70 Kristian Kersting
- 1205.2637 #1 · backfill · confidence 0.70 Kristian Kersting
- 2605.16175 #6 · arxiv_oai · confidence 0.70 Kristian Kersting
Frequent Coauthors
- Alejandro Molina 7 shared papers
- Christian Bauckhage 7 shared papers
- Hikaru Shindo 7 shared papers
- Patrick Schramowski 5 shared papers
- Sriraam Natarajan 5 shared papers
- Antonio Vergari 4 shared papers
- Lukas Helff 4 shared papers
- Martin Mladenov 4 shared papers
- Quentin Delfosse 4 shared papers
- Christopher Morris 3 shared papers
- Felix Friedrich 3 shared papers
- Marion Neumann 3 shared papers
- Petra Mutzel 3 shared papers
- Robert Peharz 3 shared papers
- Wolfgang Stammer 3 shared papers
- Antonia W\"ust 2 shared papers
- Babak Ahmadi 2 shared papers
- Fabian Hadiji 2 shared papers
- Karl Stelzner 2 shared papers
- Nicola Di Mauro 2 shared papers