Schramowski, Patrick

25 publications

ICCV 2025 ART: Adaptive Relation Tuning for Generalized Relation Prediction Gopika Sudhakaran, Hikaru Shindo, Patrick Schramowski, Simone Schaub-Meyer, Kristian Kersting, Stefan Roth

ICLRW 2025 LLMs Lost in Translation: M-Alert Uncovers Cross-Linguistic Safety Gaps Felix Friedrich, Simone Tedeschi, Patrick Schramowski, Manuel Brack, Roberto Navigli, Huu Nguyen, Bo Li, Kristian Kersting

ICML 2025 LlavaGuard: An Open VLM-Based Framework for Safeguarding Vision Datasets and Models Lukas Helff, Felix Friedrich, Manuel Brack, Kristian Kersting, Patrick Schramowski

NeurIPS 2025 Measuring and Guiding Monosemanticity Ruben Härle, Felix Friedrich, Manuel Brack, Björn Deiseroth, Stephan Waeldchen, Patrick Schramowski, Kristian Kersting

ICLR 2024 Adaptive Rational Activations to Boost Deep Reinforcement Learning Quentin Delfosse, Patrick Schramowski, Martin Mundt, Alejandro Molina, Kristian Kersting

NeurIPSW 2024 Class Attribute Inference Attacks: Inferring Sensitive Class Information by Diffusion-Based Attribute Manipulations Lukas Struppek, Dominik Hintersdorf, Felix Friedrich, Manuel Brack, Patrick Schramowski, Kristian Kersting

NeurIPS 2024 DeiSAM: Segment Anything with Deictic Prompting Hikaru Shindo, Manuel Brack, Gopika Sudhakaran, Devendra Singh Dhami, Patrick Schramowski, Kristian Kersting

JAIR 2024 Does CLIP Know My Face? Dominik Hintersdorf, Lukas Struppek, Manuel Brack, Felix Friedrich, Patrick Schramowski, Kristian Kersting

ICLRW 2024 Exploiting Cultural Biases via Homoglyphs in Text-to-Image Synthesis Lukas Struppek, Dominik Hintersdorf, Felix Friedrich, Manuel Brack, Patrick Schramowski, Kristian Kersting

IJCAI 2024 Exploiting Cultural Biases via Homoglyphs inText-to-Image Synthesis (Abstract Reprint) Lukas Struppek, Dominik Hintersdorf, Felix Friedrich, Manuel Brack, Patrick Schramowski, Kristian Kersting

CVPR 2024 LEDITS++: Limitless Image Editing Using Text-to-Image Models Manuel Brack, Felix Friedrich, Katharia Kornmeier, Linoy Tsaban, Patrick Schramowski, Kristian Kersting, Apolinario Passos

NeurIPSW 2024 LLAVAGUARD: VLM-Based Safeguards for Vision Dataset Curation and Safety Assessment Lukas Helff, Felix Friedrich, Manuel Brack, Kristian Kersting, Patrick Schramowski

NeurIPSW 2024 SCAR: Sparse Conditioned Autoencoders for Concept Detection and Steering in LLMs Ruben Härle, Felix Friedrich, Manuel Brack, Björn Deiseroth, Patrick Schramowski, Kristian Kersting

NeurIPS 2023 ATMAN: Understanding Transformer Predictions Through Memory Efficient Attention Manipulation Björn Deiseroth, Mayukh Deb, Samuel Weinbach, Manuel Brack, Patrick Schramowski, Kristian Kersting

JAIR 2023 Exploiting Cultural Biases via Homoglyphs in Text-to-Image Synthesis Lukas Struppek, Dominik Hintersdorf, Felix Friedrich, Manuel Brack, Patrick Schramowski, Kristian Kersting

ICML 2023 ILLUME: Rationalizing Vision-Language Models Through Human Interactions Manuel Brack, Patrick Schramowski, Björn Deiseroth, Kristian Kersting

ICMLW 2023 Mitigating Inappropriateness in Image Generation: Can There Be Value in Reflecting the Worlds Ugliness? Manuel Brack, Felix Friedrich, Patrick Schramowski, Kristian Kersting

NeurIPS 2023 MultiFusion: Fusing Pre-Trained Models for Multi-Lingual, Multi-Modal Image Generation Marco Bellagente, Manuel Brack, Hannah Teufel, Felix Friedrich, Björn Deiseroth, Constantin Eichenberg, Andrew M Dai, Robert Baldock, Souradeep Nanda, Koen Oostermeijer, Andres Felipe Cruz-Salinas, Patrick Schramowski, Kristian Kersting, Samuel Weinbach

NeurIPS 2023 SEGA: Instructing Text-to-Image Models Using Semantic Guidance Manuel Brack, Felix Friedrich, Dominik Hintersdorf, Lukas Struppek, Patrick Schramowski, Kristian Kersting

CVPR 2023 Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models Patrick Schramowski, Manuel Brack, Björn Deiseroth, Kristian Kersting

CVPR 2022 Interactive Disentanglement: Learning Concepts by Interacting with Their Prototype Representations Wolfgang Stammer, Marius Memmel, Patrick Schramowski, Kristian Kersting

NeurIPS 2022 LAION-5B: An Open Large-Scale Dataset for Training Next Generation Image-Text Models Christoph Schuhmann, Romain Beaumont, Richard Vencu, Cade Gordon, Ross Wightman, Mehdi Cherti, Theo Coombes, Aarush Katta, Clayton Mullis, Mitchell Wortsman, Patrick Schramowski, Srivatsa Kundurthy, Katherine Crowson, Ludwig Schmidt, Robert Kaczmarczyk, Jenia Jitsev

AAAI 2021 Right for Better Reasons: Training Differentiable Models by Constraining Their Influence Functions Xiaoting Shao, Arseny Skryagin, Wolfgang Stammer, Patrick Schramowski, Kristian Kersting

CVPR 2021 Right for the Right Concept: Revising Neuro-Symbolic Concepts by Interacting with Their Explanations Wolfgang Stammer, Patrick Schramowski, Kristian Kersting

ICLR 2020 Padé Activation Units: End-to-End Learning of Flexible Activation Functions in Deep Networks Alejandro Molina, Patrick Schramowski, Kristian Kersting