Kristian Kersting
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
190
Venues
44
Active years
2000–2026
Best venue rank
A*
Where they publish
- A*AAAI35 papers
- BILP16 papers
- AUAI14 papers
- A*ICML13 papers
- A*IJCAI13 papers
- A*ICDM12 papers
- A*ICLR10 papers
- A*ACL5 papers
- A*ICCV5 papers
- AECAI5 papers
- A*KR5 papers
- BAIME4 papers
- AIROS4 papers
- A*CVPR4 papers
- AAISTATS3 papers
- A*EMNLP3 papers
- AICWSM3 papers
- ASDM3 papers
- CNeSy2 papers
- ANAACL2 papers
- CAIES2 papers
- NationalKI2 papers
- A*ICRA2 papers
- CICMLA2 papers
- ACIKM2 papers
- BPRICAI1 paper
- BCogSci1 paper
- NationalCOMAD1 paper
- CVECoS1 paper
- A*CCS1 paper
- BGI1 paper
- BICMI1 paper
- CISMIS1 paper
- CICCD1 paper
- CCICLING1 paper
- BVTC1 paper
- AESA1 paper
- BICPR1 paper
- A*WWW1 paper
- CACML1 paper
- CIAAI1 paper
- A*KDD1 paper
- BALT1 paper
- NationalPSB1 paper
Papers
190 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | SLR: Automated Synthesis for Scalable Logical Reasoning. | Lukas Helff, Ahmad Omar, Felix Friedrich, Antonia Wst, Hikaru Shindo, Rupert Mitchell, Tim Woydt, Patrick Schramowski, Wolfgang Stammer, Kristian Kersting |
| 2026 | ACL | Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning. | Sikuan Yan, Xiufeng Yang, Zuchao Huang, Ercong Nie, Zifeng Ding, Zonggen Li, Xiaowen Ma, Jinhe Bi, Kristian Kersting, Jeff Z. Pan, Hinrich Schtze, Volker Tresp, Yunpu Ma |
| 2026 | AIME | Imitation Learning for Clinical Decision Support in Pediatric ECMO. | Fateme Golivand Darvishvand, Michael A. Skinner, Saurabh Mathur, Ameet Soni, Phillip Reeder, Kristian Kersting, Lakshmi Raman, Sriraam Natarajan |
| 2025 | AAAI | Human-in-the-loop or AI-in-the-loop? Automate or Collaborate? | Sriraam Natarajan, Saurabh Mathur, Sahil Sidheekh, Wolfgang Stammer, Kristian Kersting |
| 2025 | ACL | STRICTA: Structured Reasoning in Critical Text Assessment for Peer Review and Beyond. | Nils Dycke, Matej Zecevic, Ilia Kuznetsov, Beatrix Suess, Kristian Kersting, Iryna Gurevych |
| 2025 | ACL | Multilingual Text-to-Image Generation Magnifies Gender Stereotypes. | Felix Friedrich, Katharina Hmmerl, Patrick Schramowski, Manuel Brack, Jindrich Libovick, Alexander Fraser, Kristian Kersting |
| 2025 | AISTATS | Credibility-Aware Multimodal Fusion Using Probabilistic Circuits. | Sahil Sidheekh, Pranuthi Tenali, Saurabh Mathur, Erik Blasch, Kristian Kersting, Sriraam Natarajan |
| 2025 | EMNLP | Judging Quality Across Languages: A Multilingual Approach to Pretraining Data Filtering with Language Models. | Mehdi Ali, Manuel Brack, Max Lbbering, Elias Wendt, Abbas Goher Khan, Richard Rutmann, Alex Jude, Maurice Kraus, Alexander Arno Weber, Felix Stollenwerk, David Kaczr, Florian Mai, Lucie Flek, Rafet Sifa, Nicolas Flores-Herr, Joachim Khler, Patrick Schramowski, Michael Fromm, Kristian Kersting |
| 2025 | EMNLP | METok: Multi-Stage Event-based Token Compression for Efficient Long Video Understanding. | Mengyue Wang, Shuo Chen, Kristian Kersting, Volker Tresp, Yunpu Ma |
| 2025 | ICCV | How to Train Your Text-to-Image Model: Evaluating Design Choices for Synthetic Training Captions. | Manuel Brack, Sudeep Katakol, Felix Friedrich, Patrick Schramowski, Hareesh Ravi, Kristian Kersting, Ajinkya Kale |
| 2025 | ICCV | Core Tokensets for Data-Efficient Sequential Training of Transformers. | Subarnaduti Paul, Manuel Brack, Patrick Schramowski, Kristian Kersting, Martin Mundt |
| 2025 | ICCV | ART: Adaptive Relation Tuning for Generalized Relation Prediction. | Gopika Sudhakaran, Hikaru Shindo, Patrick Schramowski, Simone Schaub-Meyer, Kristian Kersting, Stefan Roth |
| 2025 | ICLR | ObscuraCoder: Powering Efficient Code LM Pre-Training Via Obfuscation Grounding. | Indraneil Paul, Haoyi Yang, Goran Glavas, Kristian Kersting, Iryna Gurevych |
| 2025 | ICLR | BlendRL: A Framework for Merging Symbolic and Neural Policy Learning. | Hikaru Shindo, Quentin Delfosse, Devendra Singh Dhami, Kristian Kersting |
| 2025 | ICLR | Systems with Switching Causal Relations: A Meta-Causal Perspective. | Moritz Willig, Tim Nelson Tobiasch, Florian Peter Busch, Jonas Seng, Devendra Singh Dhami, Kristian Kersting |
| 2025 | ICML | Where is the Truth? The Risk of Getting Confounded in a Continual World. | Florian Peter Busch, Roshni Ramanna Kamath, Rupert Mitchell, Wolfgang Stammer, Kristian Kersting, Martin Mundt |
| 2025 | ICML | LlavaGuard: An Open VLM-based Framework for Safeguarding Vision Datasets and Models. | Lukas Helff, Felix Friedrich, Manuel Brack, Kristian Kersting, Patrick Schramowski |
| 2025 | ICML | Bongard in Wonderland: Visual Puzzles that Still Make AI Go Mad? | Antonia Wst, Tim Nelson Tobiasch, Lukas Helff, Inga Ibs, Wolfgang Stammer, Devendra Singh Dhami, Constantin A. Rothkopf, Kristian Kersting |
| 2025 | IROS | The Constitutional Filter: Bayesian Estimation of Compliant Agents. | Simon Kohaut, Felix Divo, Benedict Flade, Devendra Singh Dhami, Julian Eggert, Kristian Kersting |
| 2025 | NeSy | Gestalt Vision: A Dataset for Evaluating Gestalt Principles in Visual Perception. | Jingyuan Sha, Hikaru Shindo, Kristian Kersting, Devendra Singh Dhami |
| 2025 | PRICAI | Industrial-Scale Autonomous eXplainable Iterative Learning. | Nika Strem, Devendra Singh Dhami, Kristian Kersting |
| 2025 | UAI | Scaling Probabilistic Circuits via Data Partitioning. | Jonas Seng, Florian Peter Busch, Pooja Prasad, Devendra Singh Dhami, Martin Mundt, Kristian Kersting |
| 2024 | AAAI | Causality in Flux: Continual Adaptation of Causal Knowledge via Evidence Matching. | Jonas Seng, Florian Peter Busch, Kristian Kersting |
| 2024 | AIME | Modeling Multiple Adverse Pregnancy Outcomes: Learning from Diverse Data Sources. | Saurabh Mathur, Veerendra P. Gadekar, Rashika Ramola, Peixin Wang, Ramachandran Thiruvengadam, David M. Haas, Shinjini Bhatnagar, Nitya Wadhwa, Garbhini Study Group, Predrag Radivojac, Himanshu Sinha, Kristian Kersting, Sriraam Natarajan |
| 2024 | AISTATS | Deep Classifier Mimicry without Data Access. | Steven Braun, Martin Mundt, Kristian Kersting |
| 2024 | CogSci | Chain Versus Common Cause: Biased Causal Strength Judgments in Humans and Large Language Models. | Anita Keshmirian, Moritz Willig, Babak Hemmatian, Kristian Kersting, Ulrike Hahn, Tobias Gerstenberg |
| 2024 | CVPR | LEDITS++: Limitless Image Editing Using Text-to-Image Models. | Manuel Brack, Felix Friedrich, Katharina Kornmeier, Linoy Tsaban, Patrick Schramowski, Kristian Kersting, Apolinrio Passos |
| 2024 | ECAI | Representation Matters for Mastering Chess: Improved Feature Representation in AlphaZero Outperforms Switching to Transformers. | Johannes Czech, Jannis Blml, Kristian Kersting, Hedinn Steingrimsson |
| 2024 | ECAI | Defending Our Privacy with Backdoors. | Dominik Hintersdorf, Lukas Struppek, Daniel Neider, Kristian Kersting |
| 2024 | EMNLP | T-FREE: Subword Tokenizer-Free Generative LLMs via Sparse Representations for Memory-Efficient Embeddings. | Bjrn Deiseroth, Manuel Brack, Patrick Schramowski, Kristian Kersting, Samuel Weinbach |
| 2024 | ICLR | Adaptive Rational Activations to Boost Deep Reinforcement Learning. | Quentin Delfosse, Patrick Schramowski, Martin Mundt, Alejandro Molina, Kristian Kersting |
| 2024 | ICLR | Learning Large DAGs is Harder than you Think: Many Losses are Minimal for the Wrong DAG. | Jonas Seng, Matej Zecevic, Devendra Singh Dhami, Kristian Kersting |
| 2024 | ICLR | Be Careful What You Smooth For: Label Smoothing Can Be a Privacy Shield but Also a Catalyst for Model Inversion Attacks. | Lukas Struppek, Dominik Hintersdorf, Kristian Kersting |
| 2024 | ICML | Mechanistic Design and Scaling of Hybrid Architectures. | Michael Poli, Armin W. Thomas, Eric Nguyen, Pragaash Ponnusamy, Bjrn Deiseroth, Kristian Kersting, Taiji Suzuki, Brian L. Hie, Stefano Ermon, Christopher R, Ce Zhang, Stefano Massaroli |
| 2024 | ICML | Learning to Intervene on Concept Bottlenecks. | David Steinmann, Wolfgang Stammer, Felix Friedrich, Kristian Kersting |
| 2024 | IJCAI | Exploiting Cultural Biases via Homoglyphs inText-to-Image Synthesis (Abstract Reprint). | Lukas Struppek, Dominik Hintersdorf, Felix Friedrich, Manuel Brack, Patrick Schramowski, Kristian Kersting |
| 2024 | NAACL | Divergent Token Metrics: Measuring degradation to prune away LLM components - and optimize quantization. | Bjrn Deiseroth, Max Meuer, Nikolas Gritsch, Constantin Eichenberg, Patrick Schramowski, Matthias Aenmacher, Kristian Kersting |
| 2024 | UAI | χSPN: Characteristic Interventional Sum-Product Networks for Causal Inference in Hybrid Domains. | Harsh Poonia, Moritz Willig, Zhongjie Yu, Matej Zecevic, Kristian Kersting, Devendra Singh Dhami |
| 2024 | UAI | Pix2Code: Learning to Compose Neural Visual Concepts as Programs. | Antonia Wst, Wolfgang Stammer, Quentin Delfosse, Devendra Singh Dhami, Kristian Kersting |
| 2023 | AAAI | Never Ending Reasoning and Learning: Opportunities and Challenges. | Sriraam Natarajan, Kristian Kersting |
| 2023 | ACL | Speaking Multiple Languages Affects the Moral Bias of Language Models. | Katharina Hmmerl, Bjrn Deiseroth, Patrick Schramowski, Jindrich Libovick, Constantin A. Rothkopf, Alexander Fraser, Kristian Kersting |
| 2023 | COMAD | Active Feature Acquisition via Human Interaction in Relational domains. | Nandini Ramanan, Phillip Odom, Kristian Kersting, Sriraam Natarajan |
| 2023 | CVPR | Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models. | Patrick Schramowski, Manuel Brack, Bjrn Deiseroth, Kristian Kersting |
| 2023 | ECAI | Revision Transformers: Instructing Language Models to Change Their Values. | Felix Friedrich, Wolfgang Stammer, Patrick Schramowski, Kristian Kersting |
| 2023 | ICCV | Rickrolling the Artist: Injecting Backdoors into Text Encoders for Text-to-Image Synthesis. | Lukas Struppek, Dominik Hintersdorf, Kristian Kersting |
| 2023 | ICCV | Vision Relation Transformer for Unbiased Scene Graph Generation. | Gopika Sudhakaran, Devendra Singh Dhami, Kristian Kersting, Stefan Roth |
| 2023 | ICLR | One Explanation Does Not Fit XIL. | Felix Friedrich, David Steinmann, Kristian Kersting |
| 2023 | ICML | ILLUME: Rationalizing Vision-Language Models through Human Interactions. | Manuel Brack, Patrick Schramowski, Bjrn Deiseroth, Kristian Kersting |
| 2023 | NeSy | Neural-Symbolic Predicate Invention: Learning Relational Concepts from Visual Scenes. | Jingyuan Sha, Hikaru Shindo, Kristian Kersting, Devendra Singh Dhami |
| 2023 | UAI | Probabilistic Flow Circuits: Towards Unified Deep Models for Tractable Probabilistic Inference. | Sahil Sidheekh, Kristian Kersting, Sriraam Natarajan |
| 2023 | UAI | Probabilistic circuits that know what they don't know. | Fabrizio Ventola, Steven Braun, Zhongjie Yu, Martin Mundt, Kristian Kersting |
| 2023 | VECoS | Balancing Transparency and Risk: An Overview of the Security and Privacy Risks of Open-Source Machine Learning Models. | Dominik Hintersdorf, Lukas Struppek, Kristian Kersting |
| 2022 | AIME | DP-CTGAN: Differentially Private Medical Data Generation Using CTGANs. | Mei Ling Fang, Devendra Singh Dhami, Kristian Kersting |
| 2022 | CVPR | Interactive Disentanglement: Learning Concepts by Interacting with their Prototype Representations. | Wolfgang Stammer, Marius Memmel, Patrick Schramowski, Kristian Kersting |
| 2022 | ICLR | CLEVA-Compass: A Continual Learning Evaluation Assessment Compass to Promote Research Transparency and Comparability. | Martin Mundt, Steven Lang, Quentin Delfosse, Kristian Kersting |
| 2022 | ICML | Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks. | Lukas Struppek, Dominik Hintersdorf, Antonio De Almeida Correia, Antonia Adler, Kristian Kersting |
| 2022 | IJCAI | To Trust or Not To Trust Prediction Scores for Membership Inference Attacks. | Dominik Hintersdorf, Lukas Struppek, Kristian Kersting |
| 2022 | IJCAI | Neuro-Symbolic Verification of Deep Neural Networks. | Xuan Xie, Kristian Kersting, Daniel Neider |
| 2022 | KR | Sum-Product Loop Programming: From Probabilistic Circuits to Loop Programming. | Viktor Pfanschilling, Hikaru Shindo, Devendra Singh Dhami, Kristian Kersting |
| 2022 | KR | Neural-Probabilistic Answer Set Programming. | Arseny Skryagin, Wolfgang Stammer, Daniel Ochs, Devendra Singh Dhami, Kristian Kersting |
| 2022 | NAACL | Adaptable Adapters. | Nafise Sadat Moosavi, Quentin Delfosse, Kristian Kersting, Iryna Gurevych |
| 2022 | UAI | Predictive Whittle networks for time series. | Zhongjie Yu, Fabrizio Ventola, Nils Thoma, Devendra Singh Dhami, Martin Mundt, Kristian Kersting |
| 2021 | AAAI | Right for Better Reasons: Training Differentiable Models by Constraining their Influence Functions. | Xiaoting Shao, Arseny Skryagin, Wolfgang Stammer, Patrick Schramowski, Kristian Kersting |
| 2021 | CVPR | Right for the Right Concept: Revising Neuro-Symbolic Concepts by Interacting With Their Explanations. | Wolfgang Stammer, Patrick Schramowski, Kristian Kersting |
| 2021 | ICML | Whittle Networks: A Deep Likelihood Model for Time Series. | Zhongjie Yu, Fabrizio Ventola, Kristian Kersting |
| 2021 | ILP | Generative Clausal Networks: Relational Decision Trees as Probabilistic Circuits. | Fabrizio Ventola, Devendra Singh Dhami, Kristian Kersting |
| 2021 | ICWSM | Learning to Classify Morals and Conventions: Artificial Intelligence in Terms of the Economics of Convention. | David Solans, Christopher Tauchmann, Aideen Farrell, Karolin Kappler, Hans-Hendrik Huber, Carlos Castillo, Kristian Kersting |
| 2021 | UAI | Leveraging probabilistic circuits for nonparametric multi-output regression. | Zhongjie Yu, Mingye Zhu, Martin Trapp, Arseny Skryagin, Kristian Kersting |
| 2020 | CCS | CryptoSPN: Expanding PPML beyond Neural Networks. | Amos Treiber, Alejandro Molina, Christian Weinert, Thomas Schneider, Kristian Kersting |
| 2020 | ECAI | CryptoSPN: Privacy-Preserving Sum-Product Network Inference. | Amos Treiber, Alejandro Molina, Christian Weinert, Thomas Schneider, Kristian Kersting |
| 2020 | GI | Knstliche Intelligenz - Die dritte Welle. | Ute Schmid, Volker Tresp, Matthias Bethge, Kristian Kersting, Rainer Stiefelhagen |
| 2020 | ICLR | Pad Activation Units: End-to-end Learning of Flexible Activation Functions in Deep Networks. | Alejandro Molina, Patrick Schramowski, Kristian Kersting |
| 2020 | ICLR | Structured Object-Aware Physics Prediction for Video Modeling and Planning. | Jannik Kossen, Karl Stelzner, Marcel Hussing, Claas Voelcker, Kristian Kersting |
| 2020 | ICMI | Alfie: An Interactive Robot with Moral Compass. | Cigdem Turan, Patrick Schramowski, Constantin A. Rothkopf, Kristian Kersting |
| 2020 | ICML | Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits. | Robert Peharz, Steven Lang, Antonio Vergari, Karl Stelzner, Alejandro Molina, Martin Trapp, Guy Van den Broeck, Kristian Kersting, Zoubin Ghahramani |
| 2020 | ISMIS | Estimating the Importance of Relational Features by Using Gradient Boosting. | Matej Petkovic, Michelangelo Ceci, Kristian Kersting, Saso Dzeroski |
| 2020 | KR | Independence and D-separation in Abstract Argumentation. | Tjitze Rienstra, Matthias Thimm, Kristian Kersting, Xiaoting Shao |
| 2019 | AAAI | Fast Relational Probabilistic Inference and Learning: Approximate Counting via Hypergraphs. | Mayukh Das, Devendra Singh Dhami, Gautam Kunapuli, Kristian Kersting, Sriraam Natarajan |
| 2019 | AAAI | Automatic Bayesian Density Analysis. | Antonio Vergari, Alejandro Molina, Robert Peharz, Zoubin Ghahramani, Kristian Kersting, Isabel Valera |
| 2019 | AIES | Semantics Derived Automatically from Language Corpora Contain Human-like Moral Choices. | Sophie F. Jentzsch, Patrick Schramowski, Constantin A. Rothkopf, Kristian Kersting |
| 2019 | AIES | Explanatory Interactive Machine Learning. | Stefano Teso, Kristian Kersting |
| 2019 | ICML | Faster Attend-Infer-Repeat with Tractable Probabilistic Models. | Karl Stelzner, Robert Peharz, Kristian Kersting |
| 2019 | ILP | Neural Networks for Relational Data. | Navdeep Kaur, Gautam Kunapuli, Saket Joshi, Kristian Kersting, Sriraam Natarajan |
| 2019 | KI | Gaussian Lifted Marginal Filtering. | Stefan Ldtke, Alejandro Molina, Kristian Kersting, Thomas Kirste |
| 2019 | UAI | Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning. | Robert Peharz, Antonio Vergari, Karl Stelzner, Alejandro Molina, Martin Trapp, Xiaoting Shao, Kristian Kersting, Zoubin Ghahramani |
| 2018 | AAAI | Core Dependency Networks. | Alejandro Molina, Alexander Munteanu, Kristian Kersting |
| 2018 | AAAI | Mixed Sum-Product Networks: A Deep Architecture for Hybrid Domains. | Alejandro Molina, Antonio Vergari, Nicola Di Mauro, Sriraam Natarajan, Floriana Esposito, Kristian Kersting |
| 2018 | AAAI | Sum-Product Autoencoding: Encoding and Decoding Representations Using Sum-Product Networks. | Antonio Vergari, Robert Peharz, Nicola Di Mauro, Alejandro Molina, Kristian Kersting, Floriana Esposito |
| 2018 | ICCD | Automatic Mapping of the Sum-Product Network Inference Problem to FPGA-Based Accelerators. | Lukas Sommer, Julian Oppermann, Alejandro Molina, Carsten Binnig, Kristian Kersting, Andreas Koch |
| 2018 | IJCAI | Efficient Symbolic Integration for Probabilistic Inference. | Samuel Kolb, Martin Mladenov, Scott Sanner, Vaishak Belle, Kristian Kersting |
| 2018 | IJCAI | Systems AI: A Declarative Learning Based Programming Perspective. | Parisa Kordjamshidi, Dan Roth, Kristian Kersting |
| 2018 | IJCAI | Lifted Filtering via Exchangeable Decomposition. | Stefan Ldtke, Max Schrder, Sebastian Bader, Kristian Kersting, Thomas Kirste |
| 2018 | ICRA | Inducing Probabilistic Context-Free Grammars for the Sequencing of Movement Primitives. | Rudolf Lioutikov, Guilherme Maeda, Filipe Veiga, Kristian Kersting, Jan Peters |
| 2018 | KR | Structure Learning for Relational Logistic Regression: An Ensemble Approach. | Nandini Ramanan, Gautam Kunapuli, Tushar Khot, Bahare Fatemi, Seyed Mehran Kazemi, David Poole, Kristian Kersting, Sriraam Natarajan |
| 2017 | AAAI | The Symbolic Interior Point Method. | Martin Mladenov, Vaishak Belle, Kristian Kersting |
| 2017 | AAAI | Lifted Inference for Convex Quadratic Programs. | Martin Mladenov, Leonard Kleinhans, Kristian Kersting |
| 2017 | AAAI | Poisson Sum-Product Networks: A Deep Architecture for Tractable Multivariate Poisson Distributions. | Alejandro Molina, Sriraam Natarajan, Kristian Kersting |
| 2017 | CICLING | Interactive Data Analytics for the Humanities. | Iryna Gurevych, Christian M. Meyer, Carsten Binnig, Johannes Frnkranz, Kristian Kersting, Stefan Roth, Edwin Simpson |
| 2017 | ICDM | Glocalized Weisfeiler-Lehman Graph Kernels: Global-Local Feature Maps of Graphs. | Christopher Morris, Kristian Kersting, Petra Mutzel |
| 2017 | IJCAI | Stochastic Online Anomaly Analysis for Streaming Time Series. | Zhao Xu, Kristian Kersting, Lorenzo von Ritter |
| 2017 | ILP | Relational Restricted Boltzmann Machines: A Probabilistic Logic Learning Approach. | Navdeep Kaur, Gautam Kunapuli, Tushar Khot, Kristian Kersting, William Cohen, Sriraam Natarajan |
| 2016 | AAAI | RELOOP: A Python-Embedded Declarative Language for Relational Optimization. | Martin Mladenov, Danny Heinrich, Leonard Kleinhans, Felix Gonsior, Kristian Kersting |
| 2016 | AAAI | Learning Continuous-Time Bayesian Networks in Relational Domains: A Non-Parametric Approach. | Shuo Yang, Tushar Khot, Kristian Kersting, Sriraam Natarajan |
| 2016 | ICDM | Faster Kernels for Graphs with Continuous Attributes via Hashing. | Christopher Morris, Nils M. Kriege, Kristian Kersting, Petra Mutzel |
| 2016 | IJCAI | Learning Using Unselected Features (LUFe). | Joseph G. Taylor, Viktoriia Sharmanska, Kristian Kersting, David Weir, Novi Quadrianto |
| 2016 | ILP | Learning Through Advice-Seeking via Transfer. | Phillip Odom, Raksha Kumaraswamy, Kristian Kersting, Sriraam Natarajan |
| 2016 | SDM | Scaling Lifted Probabilistic Inference and Learning Via Graph Databases. | Mayukh Das, Yuqing Wu, Tushar Khot, Kristian Kersting, Sriraam Natarajan |
| 2015 | AIME | Modeling Coronary Artery Calcification Levels from Behavioral Data in a Clinical Study. | Shuo Yang, Kristian Kersting, Greg Terry, Jeffrey Carr, Sriraam Natarajan |
| 2015 | ICDM | Transfer Learning via Relational Type Matching. | Raksha Kumaraswamy, Phillip Odom, Kristian Kersting, David Leake, Sriraam Natarajan |
| 2015 | IJCAI | Computer Science on the Move: Inferring Migration Regularities from the Web via Compressed Label Propagation. | Fabian Hadiji, Martin Mladenov, Christian Bauckhage, Kristian Kersting |
| 2015 | ICWSM | How Viral Are Viral Videos? | Christian Bauckhage, Fabian Hadiji, Kristian Kersting |
| 2015 | VTC | LTE Connectivity and Vehicular Traffic Prediction Based on Machine Learning Approaches. | Christoph Ide, Fabian Hadiji, Lars Habel, Alejandro Molina, Thomas Zaksek, Michael Schreckenberg, Kristian Kersting, Christian Wietfeld |
| 2015 | UAI | Parameterizing the Distance Distribution of Undirected Networks. | Christian Bauckhage, Kristian Kersting, Fabian Hadiji |
| 2015 | UAI | Equitable Partitions of Concave Free Energies. | Martin Mladenov, Kristian Kersting |
| 2014 | AAAI | Lifting Relational MAP-LPs Using Cluster Signatures. | Udi Apsel, Kristian Kersting, Martin Mladenov |
| 2014 | AAAI | Lifting Relational MAP-LPs using Cluster Signatures. | Udi Apsel, Kristian Kersting, Martin Mladenov |
| 2014 | AAAI | Preface. | Guy Van den Broeck, Kristian Kersting, Sriraam Natarajan, David Poole |
| 2014 | AAAI | Relational Logistic Regression: The Directed Analog of Markov Logic Networks. | Seyed Mehran Kazemi, David Buchman, Kristian Kersting, Sriraam Natarajan, David Poole |
| 2014 | AAAI | Power Iterated Color Refinement. | Kristian Kersting, Martin Mladenov, Roman Garnett, Martin Grohe |
| 2014 | AAAI | A Deeper Empirical Analysis of CBP Algorithm: Grounding Is the Bottleneck. | Shrutika Poyrekar, Sriraam Natarajan, Kristian Kersting |
| 2014 | AISTATS | Efficient Lifting of MAP LP Relaxations Using k-Locality. | Martin Mladenov, Kristian Kersting, Amir Globerson |
| 2014 | ESA | Dimension Reduction via Colour Refinement. | Martin Grohe, Kristian Kersting, Martin Mladenov, Erkal Selman |
| 2014 | ICDM | Explicit Versus Implicit Graph Feature Maps: A Computational Phase Transition for Walk Kernels. | Nils M. Kriege, Marion Neumann, Kristian Kersting, Petra Mutzel |
| 2014 | ICDM | Learning from Imbalanced Data in Relational Domains: A Soft Margin Approach. | Shuo Yang, Tushar Khot, Kristian Kersting, Gautam Kunapuli, Kris Hauser, Sriraam Natarajan |
| 2014 | ICPR | Erosion Band Features for Cell Phone Image Based Plant Disease Classification. | Marion Neumann, Lisa Hallau, Benjamin Klatt, Kristian Kersting, Christian Bauckhage |
| 2014 | ILP | Effectively Creating Weakly Labeled Training Examples via Approximate Domain Knowledge. | Sriraam Natarajan, Jose Picado, Tushar Khot, Kristian Kersting, Christopher R, Jude W. Shavlik |
| 2014 | KR | Relational Logistic Regression. | Seyed Mehran Kazemi, David Buchman, Kristian Kersting, Sriraam Natarajan, David Poole |
| 2014 | WWW | Collective attention to social media evolves according to diffusion models. | Christian Bauckhage, Kristian Kersting, Bashir Rastegarpanah |
| 2014 | UAI | Lifted Message Passing as Reparametrization of Graphical Models. | Martin Mladenov, Amir Globerson, Kristian Kersting |
| 2013 | AAAI | MapReduce Lifting for Belief Propagation. | Babak Ahmadi, Kristian Kersting, Sriraam Natarajan |
| 2013 | AAAI | Preface. | Vibhav Gogate, Kristian Kersting, Sriraam Natarajan, David Poole |
| 2013 | AAAI | Reduce and Re-Lift: Bootstrapped Lifted Likelihood Maximization for MAP. | Fabian Hadiji, Kristian Kersting |
| 2013 | AAAI | Reduce and Re-Lift: Bootstrapped Lifted Likelihood Maximization for MAP. | Fabian Hadiji, Kristian Kersting |
| 2013 | AAAI | Lifted Inference via k-Locality. | Martin Mladenov, Kristian Kersting |
| 2013 | AAAI | Using Commonsense Knowledge to Automatically Create (Noisy) Training Examples from Text. | Sriraam Natarajan, Jose Picado, Tushar Khot, Kristian Kersting, Christopher R, Jude W. Shavlik |
| 2013 | ACML | Coinciding Walk Kernels: Parallel Absorbing Random Walks for Learning with Graphs and Few Labels. | Marion Neumann, Roman Garnett, Kristian Kersting |
| 2013 | IAAI | Early Prediction of Coronary Artery Calcification Levels Using Machine Learning. | Sriraam Natarajan, Kristian Kersting, Edward Hak-Sing Ip, David R. Jacobs Jr., Jeffrey Carr |
| 2013 | ILP | Accelerating Imitation Learning in Relational Domains via Transfer by Initialization. | Sriraam Natarajan, Phillip Odom, Saket Joshi, Tushar Khot, Kristian Kersting, Prasad Tadepalli |
| 2013 | ICWSM | Mathematical Models of Fads Explain the Temporal Dynamics of Internet Memes. | Christian Bauckhage, Kristian Kersting, Fabian Hadiji |
| 2012 | AAAI | Pre-Symptomatic Prediction of Plant Drought Stress Using Dirichlet-Aggregation Regression on Hyperspectral Images. | Kristian Kersting, Zhao Xu, Mirwaes Wahabzada, Christian Bauckhage, Christian Thurau, Christoph Rmer, Agim Ballvora, Uwe Rascher, Jens Leon, Lutz Plmer |
| 2012 | ECAI | Lifted Probabilistic Inference. | Kristian Kersting |
| 2012 | ICDM | Efficient Learning for Hashing Proportional Data. | Zhao Xu, Kristian Kersting, Christian Bauckhage |
| 2012 | ICMLA | A Machine Learning Pipeline for Three-Way Classification of Alzheimer Patients from Structural Magnetic Resonance Images of the Brain. | Sriraam Natarajan, Saket Joshi, Baidya Nath Saha, Adam Edwards, Tushar Khot, Elizabeth Moody, Kristian Kersting, Christopher T. Whitlow, Joseph A. Maldjian |
| 2012 | ILP | Pairwise Markov Logic. | Daan Fierens, Kristian Kersting, Jesse Davis, Jian Chen, Martin Mladenov |
| 2012 | UAI | Latent Dirichlet Allocation Uncovers Spectral Characteristics of Drought Stressed Plants. | Mirwaes Wahabzada, Kristian Kersting, Christian Bauckhage, Christoph Rmer, Agim Ballvora, Francisco Pinto, Uwe Rascher, Jens Leon, Lutz Ploemer |
| 2012 | SDM | Simplex Distributions for Embedding Data Matrices over Time. | Kristian Kersting, Mirwaes Wahabzada, Christoph Rmer, Christian Thurau, Agim Ballvora, Uwe Rascher, Jens Leon, Christian Bauckhage, Lutz Plmer |
| 2012 | SDM | Deterministic CUR for Improved Large-Scale Data Analysis: An Empirical Study. | Christian Thurau, Kristian Kersting, Christian Bauckhage |
| 2011 | AAAI | Markov Logic Sets: Towards Lifted Information Retrieval Using PageRank and Label Propagation. | Marion Neumann, Babak Ahmadi, Kristian Kersting |
| 2011 | CIKM | More influence means less work: fast latent dirichlet allocation by influence scheduling. | Mirwaes Wahabzada, Kristian Kersting, Anja Pilz, Christian Bauckhage |
| 2011 | ICDM | Learning Markov Logic Networks via Functional Gradient Boosting. | Tushar Khot, Sriraam Natarajan, Kristian Kersting, Jude W. Shavlik |
| 2011 | ICDM | Multi-task Learning with Task Relations. | Zhao Xu, Kristian Kersting |
| 2011 | IJCAI | Multi-Evidence Lifted Message Passing, with Application to PageRank and the Kalman Filter. | Babak Ahmadi, Kristian Kersting, Scott Sanner |
| 2011 | IJCAI | Imitation Learning in Relational Domains: A Functional-Gradient Boosting Approach. | Sriraam Natarajan, Saket Joshi, Prasad Tadepalli, Kristian Kersting, Jude W. Shavlik |
| 2011 | KI | Efficient Sequential Clamping for Lifted Message Passing. | Fabian Hadiji, Babak Ahmadi, Kristian Kersting |
| 2010 | AAAI | Lifted Message Passing for Satisfiability. | Fabian Hadiji, Kristian Kersting, Babak Ahmadi |
| 2010 | AAAI | Informed Lifting for Message-Passing. | Kristian Kersting, Youssef El Massaoudi, Fabian Hadiji, Babak Ahmadi |
| 2010 | AAAI | Exploiting Causal Independence in Markov Logic Networks: Combining Undirected and Directed Models. | Sriraam Natarajan, Tushar Khot, Daniel Lowd, Prasad Tadepalli, Kristian Kersting, Jude W. Shavlik |
| 2010 | AAAI | Symbolic Dynamic Programming for First-order POMDPs. | Scott Sanner, Kristian Kersting |
| 2010 | CIKM | Yes we can: simplex volume maximization for descriptive web-scale matrix factorization. | Christian Thurau, Kristian Kersting, Christian Bauckhage |
| 2010 | ICMLA | Multi-Agent Inverse Reinforcement Learning. | Sriraam Natarajan, Gautam Kunapuli, Kshitij Judah, Prasad Tadepalli, Kristian Kersting, Jude W. Shavlik |
| 2010 | IROS | Learning to hash logistic regression for fast 3D scan point classification. | Jens Behley, Kristian Kersting, Dirk Schulz, Volker Steinhage, Armin B. Cremers |
| 2009 | ICDM | Stacked Gaussian Process Learning. | Marion Neumann, Kristian Kersting, Zhao Xu, Daniel Schulz |
| 2009 | ICDM | Kernel Conditional Quantile Estimation via Reduction Revisited. | Novi Quadrianto, Kristian Kersting, Mark D. Reid, Tibrio S. Caetano, Wray L. Buntine |
| 2009 | ICDM | Convex Non-negative Matrix Factorization in the Wild. | Christian Thurau, Kristian Kersting, Christian Bauckhage |
| 2009 | IJCAI | Generalized First Order Decision Diagrams for First Order Markov Decision Processes. | Saket Joshi, Kristian Kersting, Roni Khardon |
| 2009 | IJCAI | Multi-Relational Learning with Gaussian Processes. | Zhao Xu, Kristian Kersting, Volker Tresp |
| 2009 | ILP | ILP, the Blind, and the Elephant: Euclidean Embedding of Co-proven Queries. | Hannes Schulz, Kristian Kersting, Andreas Karwath |
| 2009 | UAI | Counting Belief Propagation. | Kristian Kersting, Babak Ahmadi, Sriraam Natarajan |
| 2008 | AAAI | Lifted Probabilistic Inference with Counting Formulas. | Brian Milch, Luke S. Zettlemoyer, Kristian Kersting, Michael Haimes, Leslie Pack Kaelbling |
| 2008 | ICDM | Boosting Relational Sequence Alignments. | Andreas Karwath, Kristian Kersting, Niels Landwehr |
| 2008 | ICML | Non-parametric policy gradients: a unified treatment of propositional and relational domains. | Kristian Kersting, Kurt Driessens |
| 2008 | ILP | SRL without Tears: An ILP Perspective. | Kristian Kersting |
| 2008 | ILP | Logical Hierarchical Hidden Markov Models for Modeling User Activities. | Sriraam Natarajan, Hung Hai Bui, Prasad Tadepalli, Kristian Kersting, Weng-Keen Wong |
| 2008 | IROS | Learning predictive terrain models for legged robot locomotion. | Christian Plagemann, Sebastian Mischke, Sam Prentice, Kristian Kersting, Nicholas Roy, Wolfram Burgard |
| 2008 | KDD | Social Network Mining with Nonparametric Relational Models. | Zhao Xu, Volker Tresp, Achim Rettinger, Kristian Kersting |
| 2007 | ICML | Most likely heteroscedastic Gaussian process regression. | Kristian Kersting, Christian Plagemann, Patrick Pfaff, Wolfram Burgard |
| 2006 | ILP | Relational Sequence Alignments and Logos. | Andreas Karwath, Kristian Kersting |
| 2006 | ILP | Revising Probabilistic Prolog Programs. | Luc De Raedt, Kristian Kersting, Angelika Kimmig, Kate Revoredo, Hannu Toivonen |
| 2006 | IROS | Learning Relational Navigation Policies. | Alexandru Cocora, Kristian Kersting, Christian Plagemann, Wolfram Burgard, Luc De Raedt |
| 2006 | ICRA | Robust 3D Scan Point Classification using Associative Markov Networks. | Rudolph Triebel, Kristian Kersting, Wolfram Burgard |
| 2005 | AAAI | nFOIL: Integrating Nave Bayes and FOIL. | Niels Landwehr, Kristian Kersting, Luc De Raedt |
| 2005 | AAAI | Towards Learning Stochastic Logic Programs from Proof-Banks. | Luc De Raedt, Kristian Kersting, Sunna Torge |
| 2005 | UAI | "Say EM" for Selecting Probabilistic Models for Logical Sequences. | Kristian Kersting, Tapani Raiko |
| 2004 | ALT | Probabilistic Inductive Logic Programming. | Luc De Raedt, Kristian Kersting |
| 2004 | ICML | Bellman goes relational. | Kristian Kersting, Martijn van Otterlo, Luc De Raedt |
| 2004 | ILP | Logical Markov Decision Programs and the Convergence of Logical TD(lambda). | Kristian Kersting, Luc De Raedt |
| 2003 | PSB | Towards Discovering Structural Signatures of Protein Folds Based on Logical Hidden Markov Models. | Kristian Kersting, Tapani Raiko, Stefan Kramer, Luc De Raedt |
| 2001 | ILP | Adaptive Bayesian Logic Programs. | Kristian Kersting, Luc De Raedt |
| 2001 | ILP | Towards Combining Inductive Logic Programming with Bayesian Networks. | Kristian Kersting, Luc De Raedt |
| 2000 | ILP | Bayesian Logic Programs. | Kristian Kersting, Luc De Raedt |