Kristian Kersting

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 295

Top Venues

University of Freiburg, Germany (PHD)

Education History

University of Freiburg, Germany

PHD

Publications

Cedric Derstroff, Jannis Brugger, Jannis Blüml, Mira Mezini, Stefan Kramer, Kristian Kersting
Amplifying Exploration in Monte-Carlo Tree Search by Focusing on the Unknown. CoRR (2024)
Wolfgang Stammer, Antonia Wüst, David Steinmann, Kristian Kersting
Neural Concept Binder. CoRR (2024)
Timo Kaufmann, Jannis Blüml, Antonia Wüst, Quentin Delfosse, Kristian Kersting, Eyke Hüllermeier
OCALM: Object-Centric Assessment with Language Models. CoRR (2024)
Felix Friedrich, Katharina Hämmerl, Patrick Schramowski, Jindrich Libovický, Kristian Kersting, Alexander Fraser
Multilingual Text-to-Image Generation Magnifies Gender Stereotypes and Prompt Engineering May Not Help You. CoRR (2024)
Lukas Helff, Felix Friedrich, Manuel Brack, Kristian Kersting, Patrick Schramowski
LLavaGuard: VLM-based Safeguards for Vision Dataset Curation and Safety Assessment. CoRR (2024)
Hector Kohler, Quentin Delfosse, Riad Akrour, Kristian Kersting, Philippe Preux
Interpretable and Editable Programmatic Tree Policies for Reinforcement Learning. CoRR (2024)
Björn Deiseroth, Max Meuer, Nikolas Gritsch, Constantin Eichenberg, Patrick Schramowski, Matthias Aßenmacher, Kristian Kersting
Divergent Token Metrics: Measuring degradation to prune away LLM components - and optimize quantization. NAACL-HLT (2024)
Maurice Kraus, David Steinmann, Antonia Wüst, Andre Kokozinski, Kristian Kersting
Right on Time: Revising Time Series Models by Constraining their Explanations. CoRR (2024)
Quentin Delfosse, Patrick Schramowski, Martin Mundt, Alejandro Molina, Kristian Kersting
Adaptive Rational Activations to Boost Deep Reinforcement Learning. ICLR (2024)
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
Modeling Multiple Adverse Pregnancy Outcomes: Learning from Diverse Data Sources. AIME (1) (2024)
Daniel Ochs, Karsten Wiertz, Sebastian Bußmann, Kristian Kersting, Devendra Singh Dhami
Effective Risk Detection for Natural Gas Pipelines Using Low-Resolution Satellite Images. Remote. Sens. 16 (2) (2024)
Hikaru Shindo, Manuel Brack, Gopika Sudhakaran, Devendra Singh Dhami, Patrick Schramowski, Kristian Kersting
DeiSAM: Segment Anything with Deictic Prompting. CoRR (2024)
Björn Deiseroth, Manuel Brack, Patrick Schramowski, Kristian Kersting, Samuel Weinbach
T-FREE: Tokenizer-Free Generative LLMs via Sparse Representations for Memory-Efficient Embeddings. CoRR (2024)
Roshni Kamath, Rupert Mitchell, Subarnaduti Paul, Kristian Kersting, Martin Mundt
BOWLL: A Deceptively Simple Open World Lifelong Learner. CoRR (2024)
Michael Poli, Armin W. Thomas, Eric Nguyen, Pragaash Ponnusamy, Björn Deiseroth, Kristian Kersting, Taiji Suzuki, Brian Hie, Stefano Ermon, Christopher Ré, Ce Zhang, Stefano Massaroli
Mechanistic Design and Scaling of Hybrid Architectures. CoRR (2024)
Steven Braun, Martin Mundt, Kristian Kersting
Deep Classifier Mimicry without Data Access. AISTATS (2024)
Lukas Struppek, Dominik Hintersdorf, Kristian Kersting
Be Careful What You Smooth For: Label Smoothing Can Be a Privacy Shield but Also a Catalyst for Model Inversion Attacks. ICLR (2024)
Quentin Delfosse, Sebastian Sztwiertnia, Wolfgang Stammer, Mark Rothermel, Kristian Kersting
Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents. CoRR (2024)
Moritz Willig, Matej Zecevic, Kristian Kersting
"Do Not Disturb My Circles!" Identifying the Type of Counterfactual at Hand (Short Paper). RATIO (2024)
Quentin Delfosse, Jannis Blüml, Bjarne Gregori, Kristian Kersting
HackAtari: Atari Learning Environments for Robust and Continual Reinforcement Learning. CoRR (2024)
Antonia Wüst, Wolfgang Stammer, Quentin Delfosse, Devendra Singh Dhami, Kristian Kersting
Pix2Code: Learning to Compose Neural Visual Concepts as Programs. CoRR (2024)
Dominik Hintersdorf, Lukas Struppek, Kristian Kersting, Adam Dziedzic, Franziska Boenisch
Finding NeMo: Localizing Neurons Responsible For Memorization in Diffusion Models. CoRR (2024)
Dominik Hintersdorf, Lukas Struppek, Manuel Brack, Felix Friedrich, Patrick Schramowski, Kristian Kersting
Does CLIP Know My Face? J. Artif. Intell. Res. 80 (2024)
Lukas Struppek, Minh Hieu Le, Dominik Hintersdorf, Kristian Kersting
Exploring the Adversarial Capabilities of Large Language Models. CoRR (2024)
Maurice Kraus, Felix Divo, David Steinmann, Devendra Singh Dhami, Kristian Kersting
United We Pretrain, Divided We Fail! Representation Learning for Time Series by Pretraining on 75 Datasets at Once. CoRR (2024)
Simon Kohaut, Benedict Flade, Devendra Singh Dhami, Julian Eggert, Kristian Kersting
Mission Design for Unmanned Aerial Vehicles using Hybrid Probabilistic Logic Program. CoRR (2024)
Jingyuan Sha, Hikaru Shindo, Quentin Delfosse, Kristian Kersting, Devendra Singh Dhami
EXPIL: Explanatory Predicate Invention for Learning in Games. CoRR (2024)
Jonas Seng, Matej Zecevic, Devendra Singh Dhami, Kristian Kersting
Learning Large DAGs is Harder than you Think: Many Losses are Minimal for the Wrong DAG. ICLR (2024)
Simon Kohaut, Benedict Flade, Devendra Singh Dhami, Julian Eggert, Kristian Kersting
Towards Probabilistic Clearance, Explanation and Optimization. CoRR (2024)
Sahil Sidheekh, Pranuthi Tenali, Saurabh Mathur, Erik Blasch, Kristian Kersting, Sriraam Natarajan
Credibility-Aware Multi-Modal Fusion Using Probabilistic Circuits. CoRR (2024)
Felix Helfenstein, Jannis Blüml, Johannes Czech, Kristian Kersting
Checkmating One, by Using Many: Combining Mixture of Experts with MCTS to Improve in Chess. CoRR (2024)
Florian Peter Busch, Roshni Kamath, Rupert Mitchell, Wolfgang Stammer, Kristian Kersting, Martin Mundt
Where is the Truth? The Risk of Getting Confounded in a Continual World. CoRR (2024)
Matej Zecevic, Devendra Singh Dhami, Kristian Kersting
Structural causal models reveal confounder bias in linear program modelling. Mach. Learn. 113 (3) (2024)
Simone Tedeschi, Felix Friedrich, Patrick Schramowski, Kristian Kersting, Roberto Navigli, Huu Nguyen, Bo Li
ALERT: A Comprehensive Benchmark for Assessing Large Language Models' Safety through Red Teaming. CoRR (2024)
Sriraam Natarajan, Kristian Kersting
Never Ending Reasoning and Learning: Opportunities and Challenges. AAAI Bridge Program (2023)
Mayukh Deb, Björn Deiseroth, Samuel Weinbach, Patrick Schramowski, Kristian Kersting
AtMan: Understanding Transformer Predictions Through Memory Efficient Attention Manipulation. CoRR (2023)
Manuel Brack, Felix Friedrich, Dominik Hintersdorf, Lukas Struppek, Patrick Schramowski, Kristian Kersting
SEGA: Instructing Text-to-Image Models using Semantic Guidance. NeurIPS (2023)
Quentin Delfosse, Wolfgang Stammer, Thomas Rothenbacher, Dwarak Vittal, Kristian Kersting
Boosting Object Representation Learning via Motion and Object Continuity. ECML/PKDD (4) (2023)
Patrick Schramowski, Manuel Brack, Björn Deiseroth, Kristian Kersting
Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models. CVPR (2023)
Simon Kohaut, Benedict Flade, Devendra Singh Dhami, Julian Eggert, Kristian Kersting
Mission Design for Unmanned Aerial Vehicles using Hybrid Probabilistic Logic Programs. ITSC (2023)
Felix Friedrich, Patrick Schramowski, Manuel Brack, Lukas Struppek, Dominik Hintersdorf, Sasha Luccioni, Kristian Kersting
Fair Diffusion: Instructing Text-to-Image Generation Models on Fairness. CoRR (2023)
Marco Bellagente, Manuel Brack, Hannah Teufel, Felix Friedrich, Björn Deiseroth, Constantin Eichenberg, Andrew Dai, Robert Baldock, Souradeep Nanda, Koen Oostermeijer, Andrés Felipe Cruz-Salinas, Patrick Schramowski, Kristian Kersting, Samuel Weinbach
MultiFusion: Fusing Pre-Trained Models for Multi-Lingual, Multi-Modal Image Generation. NeurIPS (2023)
David Steinmann, Wolfgang Stammer, Felix Friedrich, Kristian Kersting
Learning to Intervene on Concept Bottlenecks. CoRR (2023)
Moritz Willig, Matej Zecevic, Devendra Singh Dhami, Kristian Kersting
Do Not Marginalize Mechanisms, Rather Consolidate! NeurIPS (2023)
Björn Deiseroth, Max Meuer, Nikolas Gritsch, Constantin Eichenberg, Patrick Schramowski, Matthias Aßenmacher, Kristian Kersting
Divergent Token Metrics: Measuring degradation to prune away LLM components - and optimize quantization. CoRR (2023)
Arseny Skryagin, Daniel Ochs, Devendra Singh Dhami, Kristian Kersting
Scalable Neural-Probabilistic Answer Set Programming. CoRR (2023)
Dominik Hintersdorf, Lukas Struppek, Kristian Kersting
Balancing Transparency and Risk: The Security and Privacy Risks of Open-Source Machine Learning Models. CoRR (2023)
Wolfgang Stammer, Felix Friedrich, David Steinmann, Hikaru Shindo, Kristian Kersting
Learning by Self-Explaining. CoRR (2023)
Fabrizio Ventola, Steven Braun, Zhongjie Yu, Martin Mundt, Kristian Kersting
Probabilistic Circuits That Know What They Don't Know. CoRR (2023)
Nandini Ramanan, Phillip Odom, Kristian Kersting, Sriraam Natarajan
Active Feature Acquisition via Human Interaction in Relational domains. COMAD/CODS (2023)
Quentin Delfosse, Hikaru Shindo, Devendra Singh Dhami, Kristian Kersting
Interpretable and Explainable Logical Policies via Neurally Guided Symbolic Abstraction. NeurIPS (2023)
Lukas Struppek, Dominik Hintersdorf, Kristian Kersting
Be Careful What You Smooth For: Label Smoothing Can Be a Privacy Shield but Also a Catalyst for Model Inversion Attacks. CoRR (2023)
Matej Zecevic, Moritz Willig, Devendra Singh Dhami, Kristian Kersting
Causal Parrots: Large Language Models May Talk Causality But Are Not Causal. CoRR (2023)
Lukas Helff, Wolfgang Stammer, Hikaru Shindo, Devendra Singh Dhami, Kristian Kersting
V-LoL: A Diagnostic Dataset for Visual Logical Learning. CoRR (2023)
Siwen Yan, Phillip Odom, Rahul Pasunuri, Kristian Kersting, Sriraam Natarajan
Learning with privileged and sensitive information: a gradient-boosting approach. Frontiers Artif. Intell. 6 (2023)
Sophie F. Jentzsch, Kristian Kersting
ChatGPT is fun, but it is not funny! Humor is still challenging Large Language Models. CoRR (2023)
Felix Friedrich, David Steinmann, Kristian Kersting
One Explanation Does Not Fit XIL. Tiny Papers @ ICLR (2023)
Jingyuan Sha, Hikaru Shindo, Kristian Kersting, Devendra Singh Dhami
Neural-Symbolic Predicate Invention: Learning Relational Concepts from Visual Scenes. NeSy (2023)
Zhongjie Yu, Martin Trapp, Kristian Kersting
Characteristic Circuits. NeurIPS (2023)
Felix Friedrich, Wolfgang Stammer, Patrick Schramowski, Kristian Kersting
Revision Transformers: Instructing Language Models to Change Their Values. ECAI (2023)
Manuel Brack, Felix Friedrich, Dominik Hintersdorf, Lukas Struppek, Patrick Schramowski, Kristian Kersting
SEGA: Instructing Diffusion using Semantic Dimensions. CoRR (2023)
Steven Braun, Martin Mundt, Kristian Kersting
Deep Classifier Mimicry without Data Access. CoRR (2023)
Lukas Struppek, Dominik Hintersdorf, Felix Friedrich, Manuel Brack, Patrick Schramowski, Kristian Kersting
Exploiting Cultural Biases via Homoglyphs in Text-to-Image Synthesis. J. Artif. Intell. Res. 78 (2023)
Jannis Blüml, Johannes Czech, Kristian Kersting
AlphaZe∗∗: AlphaZero-like baselines for imperfect information games are surprisingly strong. Frontiers Artif. Intell. 6 (2023)
Hikaru Shindo, Viktor Pfanschilling, Devendra Singh Dhami, Kristian Kersting
Learning Differentiable Logic Programs for Abstract Visual Reasoning. CoRR (2023)
Lukas Struppek, Dominik Hintersdorf, Kristian Kersting
Rickrolling the Artist: Injecting Backdoors into Text Encoders for Text-to-Image Synthesis. ICCV (2023)
Manuel Brack, Patrick Schramowski, Kristian Kersting
Distilling Adversarial Prompts from Safety Benchmarks: Report for the Adversarial Nibbler Challenge. CoRR (2023)
Nicolas Pfeuffer, Lorenz Baum, Wolfgang Stammer, Benjamin M. Abdel-Karim, Patrick Schramowski, Andreas M. Bucher, Christian Hügel, Gernot Rohde, Kristian Kersting, Oliver Hinz
Explanatory Interactive Machine Learning. Bus. Inf. Syst. Eng. 65 (6) (2023)
Katharina Hämmerl, Björn Deiseroth, Patrick Schramowski, Jindrich Libovický, Constantin A. Rothkopf, Alexander Fraser, Kristian Kersting
Speaking Multiple Languages Affects the Moral Bias of Language Models. ACL (Findings) (2023)
Quentin Delfosse, Jannis Blüml, Bjarne Gregori, Sebastian Sztwiertnia, Kristian Kersting
OCAtari: Object-Centric Atari 2600 Reinforcement Learning Environments. CoRR (2023)
Lukas Struppek, Dominik Hintersdorf, Felix Friedrich, Manuel Brack, Patrick Schramowski, Kristian Kersting
Image Classifiers Leak Sensitive Attributes About Their Classes. CoRR (2023)
Lukas Struppek, Martin B. Hentschel, Clifton Poth, Dominik Hintersdorf, Kristian Kersting
Leveraging Diffusion-Based Image Variations for Robust Training on Poisoned Data. CoRR (2023)
Felix Friedrich, Wolfgang Stammer, Patrick Schramowski, Kristian Kersting
A typology for exploring the mitigation of shortcut behaviour. Nat. Mac. Intell. 5 (3) (2023)
Manuel Brack, Felix Friedrich, Katharina Kornmeier, Linoy Tsaban, Patrick Schramowski, Kristian Kersting, Apolinário Passos
LEDITS++: Limitless Image Editing using Text-to-Image Models. CoRR (2023)
Sahil Sidheekh, Kristian Kersting, Sriraam Natarajan
Probabilistic Flow Circuits: Towards Unified Deep Models for Tractable Probabilistic Inference. UAI (2023)
Rupert Mitchell, Martin Mundt, Kristian Kersting
Self Expanding Neural Networks. CoRR (2023)
Felix Friedrich, David Steinmann, Kristian Kersting
One Explanation Does Not Fit XIL. CoRR (2023)
Johannes Czech, Jannis Blüml, Kristian Kersting
Representation Matters: The Game of Chess Poses a Challenge to Vision Transformers. CoRR (2023)
Fabrizio Ventola, Steven Braun, Zhongjie Yu, Martin Mundt, Kristian Kersting
Probabilistic circuits that know what they don't know. UAI (2023)
Gopika Sudhakaran, Devendra Singh Dhami, Kristian Kersting, Stefan Roth
Vision Relation Transformer for Unbiased Scene Graph Generation. ICCV (2023)
Quentin Delfosse, Hikaru Shindo, Devendra Singh Dhami, Kristian Kersting
Interpretable and Explainable Logical Policies via Neurally Guided Symbolic Abstraction. CoRR (2023)
Arseny Skryagin, Daniel Ochs, Devendra Singh Dhami, Kristian Kersting
Scalable Neural-Probabilistic Answer Set Programming. J. Artif. Intell. Res. 78 (2023)
Manuel Brack, Patrick Schramowski, Björn Deiseroth, Kristian Kersting
ILLUME: Rationalizing Vision-Language Models through Human Interactions. ICML (2023)
Zhongjie Yu, Martin Trapp, Kristian Kersting
Characteristic Circuits. CoRR (2023)
Marco Bellagente, Manuel Brack, Hannah Teufel, Felix Friedrich, Björn Deiseroth, Constantin Eichenberg, Andrew Dai, Robert Baldock, Souradeep Nanda, Koen Oostermeijer, Andrés Felipe Cruz-Salinas, Patrick Schramowski, Kristian Kersting, Samuel Weinbach
MultiFusion: Fusing Pre-Trained Models for Multi-Lingual, Multi-Modal Image Generation. CoRR (2023)
Yannik Keller, Jannis Blüml, Gopika Sudhakaran, Kristian Kersting
From Images to Connections: Can DQN with GNNs learn the Strategic Game of Hex? CoRR (2023)
Moritz Willig, Matej Zecevic, Devendra Singh Dhami, Kristian Kersting
Do Not Marginalize Mechanisms, Rather Consolidate! CoRR (2023)
Björn Deiseroth, Mayukh Deb, Samuel Weinbach, Manuel Brack, Patrick Schramowski, Kristian Kersting
ATMAN: Understanding Transformer Predictions Through Memory Efficient Attention Manipulation. NeurIPS (2023)
Matej Zecevic, Moritz Willig, Devendra Singh Dhami, Kristian Kersting
Causal Parrots: Large Language Models May Talk Causality But Are Not Causal. Trans. Mach. Learn. Res. 2023 (2023)
Matej Zecevic, Devendra Singh Dhami, Kristian Kersting
Not All Causal Inference is the Same. Trans. Mach. Learn. Res. 2023 (2023)
Hikaru Shindo, Viktor Pfanschilling, Devendra Singh Dhami, Kristian Kersting
αILP: thinking visual scenes as differentiable logic programs. Mach. Learn. 112 (5) (2023)
Subarnaduti Paul, Lars-Joel Frey, Roshni Kamath, Kristian Kersting, Martin Mundt
Masked Autoencoders are Efficient Continual Federated Learners. CoRR (2023)
Gopika Sudhakaran, Devendra Singh Dhami, Kristian Kersting, Stefan Roth
Vision Relation Transformer for Unbiased Scene Graph Generation. CoRR (2023)
Sophie F. Jentzsch, Kristian Kersting
ChatGPT is fun, but it is not funny! Humor is still challenging Large Language Models. WASSA@ACL (2023)
Manuel Brack, Felix Friedrich, Patrick Schramowski, Kristian Kersting
Mitigating Inappropriateness in Image Generation: Can there be Value in Reflecting the World's Ugliness? CoRR (2023)
Benjamin Hilprecht, Kristian Kersting, Carsten Binnig
SPARE: A Single-Pass Neural Model for Relational Databases. CoRR (2023)
Dominik Hintersdorf, Lukas Struppek, Daniel Neider, Kristian Kersting
Defending Our Privacy With Backdoors. CoRR (2023)
Jannis Weil, Johannes Czech, Tobias Meuser, Kristian Kersting
Know your Enemy: Investigating Monte-Carlo Tree Search with Opponent Models in Pommerman. CoRR (2023)
Katharina Hämmerl, Björn Deiseroth, Patrick Schramowski, Jindrich Libovický, Constantin A. Rothkopf, Alexander Fraser, Kristian Kersting
Speaking Multiple Languages Affects the Moral Bias of Language Models. CoRR (2022)
Matej Zecevic, Moritz Willig, Devendra Singh Dhami, Kristian Kersting
Pearl Causal Hierarchy on Image Data: Intricacies & Challenges. CoRR (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Kristian Kersting