default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDKristian Kersting
Person information
- affiliation: TU Darmstadt, Computer Science Department, Germany
- affiliation: TU Darmstadt, Centre for Cognitive Science, Germany
- affiliation: TU Dortmund, Department of Computer Science, Germany
- affiliation: University of Bonn, Faculty of Agriculture, Germany
- affiliation: Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS), Sankt Augustin, Germany
- affiliation: Massachusetts Institute of Technology, Computer Science and Artificial Intelligence Laboratory (CSAIL), Cambridge, MA, USA
- affiliation (PhD 2005): University of Freiburg, Machine Learning Laborator, Germany
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j76]Dominik Hintersdorf, Lukas Struppek, Manuel Brack, Felix Friedrich, Patrick Schramowski, Kristian Kersting:
Does CLIP Know My Face? J. Artif. Intell. Res. 80: 1033-1062 (2024)- [j75]Matej Zecevic, Devendra Singh Dhami
, Kristian Kersting:
Structural causal models reveal confounder bias in linear program modelling. Mach. Learn. 113(3): 1329-1349 (2024) - [j74]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): 266 (2024) - [c231]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: 293-302 - [c230]Steven Braun, Martin Mundt, Kristian Kersting:
Deep Classifier Mimicry without Data Access. AISTATS 2024: 4762-4770 - [c229]Manuel Brack, Felix Friedrich, Katharina Kornmeier, Linoy Tsaban, Patrick Schramowski, Kristian Kersting, Apolinário Passos:
LEDITS++: Limitless Image Editing Using Text-to-Image Models. CVPR 2024: 8861-8870 - [c228]Quentin Delfosse, Patrick Schramowski, Martin Mundt, Alejandro Molina, Kristian Kersting:
Adaptive Rational Activations to Boost Deep Reinforcement Learning. ICLR 2024 - [c227]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 - [c226]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 - [c225]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. ICML 2024 - [c224]David Steinmann, Wolfgang Stammer, Felix Friedrich, Kristian Kersting:
Learning to Intervene on Concept Bottlenecks. ICML 2024 - [c223]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: 6764-6783 - [c222]Moritz Willig, Matej Zecevic, Kristian Kersting:
"Do Not Disturb My Circles!" Identifying the Type of Counterfactual at Hand (Short Paper). RATIO 2024: 266-275 - [i169]Quentin Delfosse, Sebastian Sztwiertnia, Wolfgang Stammer, Mark Rothermel, Kristian Kersting:
Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents. CoRR abs/2401.05821 (2024) - [i168]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 abs/2401.16092 (2024) - [i167]Felix Helfenstein, Jannis Blüml, Johannes Czech, Kristian Kersting:
Checkmating One, by Using Many: Combining Mixture of Experts with MCTS to Improve in Chess. CoRR abs/2401.16852 (2024) - [i166]Roshni Kamath, Rupert Mitchell, Subarnaduti Paul, Kristian Kersting, Martin Mundt:
BOWLL: A Deceptively Simple Open World Lifelong Learner. CoRR abs/2402.04814 (2024) - [i165]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 abs/2402.06434 (2024) - [i164]Antonia Wüst, Wolfgang Stammer, Quentin Delfosse, Devendra Singh Dhami, Kristian Kersting:
Pix2Code: Learning to Compose Neural Visual Concepts as Programs. CoRR abs/2402.08280 (2024) - [i163]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 abs/2402.08511 (2024) - [i162]Lukas Struppek, Minh Hieu Le, Dominik Hintersdorf, Kristian Kersting:
Exploring the Adversarial Capabilities of Large Language Models. CoRR abs/2402.09132 (2024) - [i161]Maurice Kraus, David Steinmann, Antonia Wüst, Andre Kokozinski, Kristian Kersting:
Right on Time: Revising Time Series Models by Constraining their Explanations. CoRR abs/2402.12921 (2024) - [i160]Hikaru Shindo, Manuel Brack, Gopika Sudhakaran, Devendra Singh Dhami, Patrick Schramowski, Kristian Kersting:
DeiSAM: Segment Anything with Deictic Prompting. CoRR abs/2402.14123 (2024) - [i159]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 abs/2402.15404 (2024) - [i158]Sahil Sidheekh, Pranuthi Tenali, Saurabh Mathur, Erik Blasch, Kristian Kersting, Sriraam Natarajan:
Credibility-Aware Multi-Modal Fusion Using Probabilistic Circuits. CoRR abs/2403.03281 (2024) - [i157]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 abs/2403.17844 (2024) - [i156]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 abs/2404.08676 (2024) - [i155]Hector Kohler, Quentin Delfosse, Riad Akrour, Kristian Kersting, Philippe Preux:
Interpretable and Editable Programmatic Tree Policies for Reinforcement Learning. CoRR abs/2405.14956 (2024) - [i154]Dominik Hintersdorf, Lukas Struppek, Kristian Kersting, Adam Dziedzic, Franziska Boenisch:
Finding NeMo: Localizing Neurons Responsible For Memorization in Diffusion Models. CoRR abs/2406.02366 (2024) - [i153]Simon Kohaut, Benedict Flade, Devendra Singh Dhami, Julian Eggert, Kristian Kersting:
Mission Design for Unmanned Aerial Vehicles using Hybrid Probabilistic Logic Program. CoRR abs/2406.03454 (2024) - [i152]Quentin Delfosse, Jannis Blüml, Bjarne Gregori, Kristian Kersting:
HackAtari: Atari Learning Environments for Robust and Continual Reinforcement Learning. CoRR abs/2406.03997 (2024) - [i151]Lukas Helff, Felix Friedrich, Manuel Brack, Kristian Kersting, Patrick Schramowski:
LLavaGuard: VLM-based Safeguards for Vision Dataset Curation and Safety Assessment. CoRR abs/2406.05113 (2024) - [i150]Jingyuan Sha, Hikaru Shindo, Quentin Delfosse, Kristian Kersting, Devendra Singh Dhami:
EXPIL: Explanatory Predicate Invention for Learning in Games. CoRR abs/2406.06107 (2024) - [i149]Wolfgang Stammer, Antonia Wüst, David Steinmann, Kristian Kersting:
Neural Concept Binder. CoRR abs/2406.09949 (2024) - [i148]Simon Kohaut, Benedict Flade, Devendra Singh Dhami, Julian Eggert, Kristian Kersting:
Towards Probabilistic Clearance, Explanation and Optimization. CoRR abs/2406.15088 (2024) - [i147]Timo Kaufmann, Jannis Blüml, Antonia Wüst, Quentin Delfosse, Kristian Kersting, Eyke Hüllermeier:
OCALM: Object-Centric Assessment with Language Models. CoRR abs/2406.16748 (2024) - [i146]Björn Deiseroth, Manuel Brack, Patrick Schramowski, Kristian Kersting, Samuel Weinbach:
T-FREE: Tokenizer-Free Generative LLMs via Sparse Representations for Memory-Efficient Embeddings. CoRR abs/2406.19223 (2024) - [i145]Subhabrata Dutta, Timo Kaufmann, Goran Glavas, Ivan Habernal, Kristian Kersting, Frauke Kreuter, Mira Mezini, Iryna Gurevych, Eyke Hüllermeier, Hinrich Schütze:
Problem Solving Through Human-AI Preference-Based Cooperation. CoRR abs/2408.07461 (2024) - [i144]Harsh Poonia, Moritz Willig, Zhongjie Yu, Matej Zecevic, Kristian Kersting, Devendra Singh Dhami:
χSPN: Characteristic Interventional Sum-Product Networks for Causal Inference in Hybrid Domains. CoRR abs/2408.07545 (2024) - [i143]Nils Dycke, Matej Zecevic, Ilia Kuznetsov, Beatrix Suess, Kristian Kersting, Iryna Gurevych:
Diagnostic Reasoning in Natural Language: Computational Model and Application. CoRR abs/2409.05367 (2024) - 2023
- [j73]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): 677-701 (2023) - [j72]Jannis Blüml, Johannes Czech, Kristian Kersting:
AlphaZe∗∗: AlphaZero-like baselines for imperfect information games are surprisingly strong. Frontiers Artif. Intell. 6 (2023) - [j71]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) - [j70]Arseny Skryagin, Daniel Ochs, Devendra Singh Dhami, Kristian Kersting:
Scalable Neural-Probabilistic Answer Set Programming. J. Artif. Intell. Res. 78: 579-617 (2023) - [j69]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: 1017-1068 (2023) - [j68]Hikaru Shindo, Viktor Pfanschilling, Devendra Singh Dhami, Kristian Kersting:
αILP: thinking visual scenes as differentiable logic programs. Mach. Learn. 112(5): 1465-1497 (2023) - [j67]Felix Friedrich, Wolfgang Stammer, Patrick Schramowski, Kristian Kersting:
A typology for exploring the mitigation of shortcut behaviour. Nat. Mac. Intell. 5(3): 319-330 (2023) - [j66]Matej Zecevic, Devendra Singh Dhami, Kristian Kersting:
Not All Causal Inference is the Same. Trans. Mach. Learn. Res. 2023 (2023) - [j65]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) - [c221]Sriraam Natarajan, Kristian Kersting:
Never Ending Reasoning and Learning: Opportunities and Challenges. AAAI Bridge Program 2023: 71-74 - [c220]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: 2137-2156 - [c219]Nandini Ramanan, Phillip Odom, Kristian Kersting, Sriraam Natarajan:
Active Feature Acquisition via Human Interaction in Relational domains. COMAD/CODS 2023: 70-78 - [c218]Patrick Schramowski, Manuel Brack, Björn Deiseroth, Kristian Kersting:
Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models. CVPR 2023: 22522-22531 - [c217]Felix Friedrich, Wolfgang Stammer, Patrick Schramowski, Kristian Kersting:
Revision Transformers: Instructing Language Models to Change Their Values. ECAI 2023: 756-763 - [c216]Lukas Struppek, Dominik Hintersdorf, Kristian Kersting:
Rickrolling the Artist: Injecting Backdoors into Text Encoders for Text-to-Image Synthesis. ICCV 2023: 4561-4573 - [c215]Gopika Sudhakaran, Devendra Singh Dhami, Kristian Kersting, Stefan Roth:
Vision Relation Transformer for Unbiased Scene Graph Generation. ICCV 2023: 21825-21836 - [c214]Felix Friedrich, David Steinmann, Kristian Kersting:
One Explanation Does Not Fit XIL. Tiny Papers @ ICLR 2023 - [c213]Manuel Brack, Patrick Schramowski, Björn Deiseroth, Kristian Kersting:
ILLUME: Rationalizing Vision-Language Models through Human Interactions. ICML 2023: 3021-3037 - [c212]Simon Kohaut, Benedict Flade, Devendra Singh Dhami, Julian Eggert, Kristian Kersting:
Mission Design for Unmanned Aerial Vehicles using Hybrid Probabilistic Logic Programs. ITSC 2023: 1506-1513 - [c211]Jingyuan Sha, Hikaru Shindo, Kristian Kersting, Devendra Singh Dhami:
Neural-Symbolic Predicate Invention: Learning Relational Concepts from Visual Scenes. NeSy 2023: 103-117 - [c210]Zhongjie Yu, Martin Trapp, Kristian Kersting:
Characteristic Circuits. NeurIPS 2023 - [c209]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 - [c208]Manuel Brack, Felix Friedrich, Dominik Hintersdorf, Lukas Struppek, Patrick Schramowski, Kristian Kersting:
SEGA: Instructing Text-to-Image Models using Semantic Guidance. NeurIPS 2023 - [c207]Björn Deiseroth, Mayukh Deb, Samuel Weinbach, Manuel Brack, Patrick Schramowski, Kristian Kersting:
ATMAN: Understanding Transformer Predictions Through Memory Efficient Attention Manipulation. NeurIPS 2023 - [c206]Quentin Delfosse, Hikaru Shindo, Devendra Singh Dhami, Kristian Kersting:
Interpretable and Explainable Logical Policies via Neurally Guided Symbolic Abstraction. NeurIPS 2023 - [c205]Moritz Willig, Matej Zecevic, Devendra Singh Dhami, Kristian Kersting:
Do Not Marginalize Mechanisms, Rather Consolidate! NeurIPS 2023 - [c204]Quentin Delfosse, Wolfgang Stammer, Thomas Rothenbacher, Dwarak Vittal, Kristian Kersting:
Boosting Object Representation Learning via Motion and Object Continuity. ECML/PKDD (4) 2023: 610-628 - [c203]Sahil Sidheekh, Kristian Kersting, Sriraam Natarajan:
Probabilistic Flow Circuits: Towards Unified Deep Models for Tractable Probabilistic Inference. UAI 2023: 1964-1973 - [c202]Fabrizio Ventola, Steven Braun, Zhongjie Yu, Martin Mundt, Kristian Kersting:
Probabilistic circuits that know what they don't know. UAI 2023: 2157-2167 - [c201]Sophie F. Jentzsch, Kristian Kersting:
ChatGPT is fun, but it is not funny! Humor is still challenging Large Language Models. WASSA@ACL 2023: 325-340 - [i142]Mayukh Deb, Björn Deiseroth, Samuel Weinbach, Patrick Schramowski, Kristian Kersting:
AtMan: Understanding Transformer Predictions Through Memory Efficient Attention Manipulation. CoRR abs/2301.08110 (2023) - [i141]Manuel Brack, Felix Friedrich, Dominik Hintersdorf, Lukas Struppek, Patrick Schramowski, Kristian Kersting:
SEGA: Instructing Diffusion using Semantic Dimensions. CoRR abs/2301.12247 (2023) - [i140]Fabrizio Ventola, Steven Braun, Zhongjie Yu, Martin Mundt, Kristian Kersting:
Probabilistic Circuits That Know What They Don't Know. CoRR abs/2302.06544 (2023) - [i139]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 abs/2302.10893 (2023) - [i138]Lukas Struppek, Dominik Hintersdorf, Felix Friedrich, Manuel Brack, Patrick Schramowski, Kristian Kersting:
Image Classifiers Leak Sensitive Attributes About Their Classes. CoRR abs/2303.09289 (2023) - [i137]Felix Friedrich, David Steinmann, Kristian Kersting:
One Explanation Does Not Fit XIL. CoRR abs/2304.07136 (2023) - [i136]Johannes Czech, Jannis Blüml, Kristian Kersting:
Representation Matters: The Game of Chess Poses a Challenge to Vision Transformers. CoRR abs/2304.14918 (2023) - [i135]Jannis Weil, Johannes Czech, Tobias Meuser, Kristian Kersting:
Know your Enemy: Investigating Monte-Carlo Tree Search with Opponent Models in Pommerman. CoRR abs/2305.13206 (2023) - [i134]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 abs/2305.15296 (2023) - [i133]Manuel Brack, Felix Friedrich, Patrick Schramowski, Kristian Kersting:
Mitigating Inappropriateness in Image Generation: Can there be Value in Reflecting the World's Ugliness? CoRR abs/2305.18398 (2023) - [i132]Quentin Delfosse, Hikaru Shindo, Devendra Singh Dhami, Kristian Kersting:
Interpretable and Explainable Logical Policies via Neurally Guided Symbolic Abstraction. CoRR abs/2306.01439 (2023) - [i131]Steven Braun, Martin Mundt, Kristian Kersting:
Deep Classifier Mimicry without Data Access. CoRR abs/2306.02090 (2023) - [i130]Subarnaduti Paul, Lars-Joel Frey, Roshni Kamath, Kristian Kersting, Martin Mundt:
Masked Autoencoders are Efficient Continual Federated Learners. CoRR abs/2306.03542 (2023) - [i129]Sophie F. Jentzsch, Kristian Kersting:
ChatGPT is fun, but it is not funny! Humor is still challenging Large Language Models. CoRR abs/2306.04563 (2023) - [i128]Lukas Helff, Wolfgang Stammer, Hikaru Shindo, Devendra Singh Dhami, Kristian Kersting:
V-LoL: A Diagnostic Dataset for Visual Logical Learning. CoRR abs/2306.07743 (2023) - [i127]Arseny Skryagin, Daniel Ochs, Devendra Singh Dhami, Kristian Kersting:
Scalable Neural-Probabilistic Answer Set Programming. CoRR abs/2306.08397 (2023) - [i126]Quentin Delfosse, Jannis Blüml, Bjarne Gregori, Sebastian Sztwiertnia, Kristian Kersting:
OCAtari: Object-Centric Atari 2600 Reinforcement Learning Environments. CoRR abs/2306.08649 (2023) - [i125]Hikaru Shindo, Viktor Pfanschilling, Devendra Singh Dhami, Kristian Kersting:
Learning Differentiable Logic Programs for Abstract Visual Reasoning. CoRR abs/2307.00928 (2023) - [i124]Rupert Mitchell, Martin Mundt, Kristian Kersting:
Self Expanding Neural Networks. CoRR abs/2307.04526 (2023) - [i123]Gopika Sudhakaran, Devendra Singh Dhami, Kristian Kersting, Stefan Roth:
Vision Relation Transformer for Unbiased Scene Graph Generation. CoRR abs/2308.09472 (2023) - [i122]Dominik Hintersdorf, Lukas Struppek, Kristian Kersting:
Balancing Transparency and Risk: The Security and Privacy Risks of Open-Source Machine Learning Models. CoRR abs/2308.09490 (2023) - [i121]Matej Zecevic, Moritz Willig, Devendra Singh Dhami, Kristian Kersting:
Causal Parrots: Large Language Models May Talk Causality But Are Not Causal. CoRR abs/2308.13067 (2023) - [i120]David Steinmann, Wolfgang Stammer, Felix Friedrich, Kristian Kersting:
Learning to Intervene on Concept Bottlenecks. CoRR abs/2308.13453 (2023) - [i119]Wolfgang Stammer, Felix Friedrich, David Steinmann, Hikaru Shindo, Kristian Kersting:
Learning by Self-Explaining. CoRR abs/2309.08395 (2023) - [i118]Manuel Brack, Patrick Schramowski, Kristian Kersting:
Distilling Adversarial Prompts from Safety Benchmarks: Report for the Adversarial Nibbler Challenge. CoRR abs/2309.11575 (2023) - [i117]Lukas Struppek, Martin B. Hentschel, Clifton Poth, Dominik Hintersdorf, Kristian Kersting:
Leveraging Diffusion-Based Image Variations for Robust Training on Poisoned Data. CoRR abs/2310.06372 (2023) - [i116]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 abs/2310.06549 (2023) - [i115]Dominik Hintersdorf, Lukas Struppek, Daniel Neider, Kristian Kersting:
Defending Our Privacy With Backdoors. CoRR abs/2310.08320 (2023) - [i114]Moritz Willig, Matej Zecevic, Devendra Singh Dhami, Kristian Kersting:
Do Not Marginalize Mechanisms, Rather Consolidate! CoRR abs/2310.08377 (2023) - [i113]Benjamin Hilprecht, Kristian Kersting, Carsten Binnig:
SPARE: A Single-Pass Neural Model for Relational Databases. CoRR abs/2310.13581 (2023) - [i112]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 abs/2311.01544 (2023) - [i111]Yannik Keller, Jannis Blüml, Gopika Sudhakaran, Kristian Kersting:
From Images to Connections: Can DQN with GNNs learn the Strategic Game of Hex? CoRR abs/2311.13414 (2023) - [i110]Manuel Brack, Felix Friedrich, Katharina Kornmeier, Linoy Tsaban, Patrick Schramowski, Kristian Kersting, Apolinário Passos:
LEDITS++: Limitless Image Editing using Text-to-Image Models. CoRR abs/2311.16711 (2023) - [i109]Zhongjie Yu, Martin Trapp, Kristian Kersting:
Characteristic Circuits. CoRR abs/2312.07790 (2023) - 2022
- [j64]Parisa Kordjamshidi, Dan Roth, Kristian Kersting:
Declarative Learning-Based Programming as an Interface to AI Systems. Frontiers Artif. Intell. 5: 755361 (2022) - [j63]Xiaoting Shao, Alejandro Molina, Antonio Vergari, Karl Stelzner, Robert Peharz, Thomas Liebig, Kristian Kersting:
Conditional sum-product networks: Modular probabilistic circuits via gate functions. Int. J. Approx. Reason. 140: 298-313 (2022) - [j62]Matej Petkovic, Michelangelo Ceci, Gianvito Pio, Blaz Skrlj, Kristian Kersting, Saso Dzeroski:
Relational tree ensembles and feature rankings. Knowl. Based Syst. 251: 109254 (2022) - [j61]Patrick Schramowski, Cigdem Turan, Nico Andersen, Constantin A. Rothkopf, Kristian Kersting:
Large pre-trained language models contain human-like biases of what is right and wrong to do. Nat. Mach. Intell. 4(3): 258-268 (2022) - [j60]Aidmar Wainakh, Fabrizio Ventola, Till Müßig, Jens Keim, Carlos Garcia Cordero, Ephraim Zimmer, Tim Grube, Kristian Kersting, Max Mühlhäuser:
User-Level Label Leakage from Gradients in Federated Learning. Proc. Priv. Enhancing Technol. 2022(2): 227-244 (2022) - [c200]Mei Ling Fang, Devendra Singh Dhami, Kristian Kersting:
DP-CTGAN: Differentially Private Medical Data Generation Using CTGANs. AIME 2022: 178-188 - [c199]Wolfgang Stammer, Marius Memmel, Patrick Schramowski, Kristian Kersting:
Interactive Disentanglement: Learning Concepts by Interacting with their Prototype Representations. CVPR 2022: 10307-10318 - [c198]Nandini Ramanan, Phillip Odom, Erik Blasch, Kristian Kersting, Sriraam Natarajan:
Relational Active Feature Elicitation for DDDAS. DDDAS 2022: 227-232 - [c197]Lukas Struppek, Dominik Hintersdorf, Daniel Neider, Kristian Kersting:
Learning to Break Deep Perceptual Hashing: The Use Case NeuralHash. FAccT 2022: 58-69 - [c196]Patrick Schramowski, Christopher Tauchmann, Kristian Kersting:
Can Machines Help Us Answering Question 16 in Datasheets, and In Turn Reflecting on Inappropriate Content? FAccT 2022: 1350-1361 - [c195]Felix Friedrich, Patrick Schramowski, Christopher Tauchmann, Kristian Kersting:
Interactively Providing Explanations for Transformer Language Models. HHAI 2022: 285-287 - [c194]Martin Mundt, Steven Lang, Quentin Delfosse, Kristian Kersting:
CLEVA-Compass: A Continual Learning Evaluation Assessment Compass to Promote Research Transparency and Comparability. ICLR 2022 - [c193]Lukas Struppek, Dominik Hintersdorf, Antonio De Almeida Correia, Antonia Adler, Kristian Kersting:
Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks. ICML 2022: 20522-20545 - [c192]Mina Ameli, Viktor Pfanschilling, Anar Amirli, Wolfgang Maaß, Kristian Kersting:
Unsupervised Multi-sensor Anomaly Localization with Explainable AI. AIAI (1) 2022: 507-519 - [c191]