Patrick Schramowski

Orcid: 0000-0003-1231-7120

According to our database1, Patrick Schramowski authored at least 47 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
DeiSAM: Segment Anything with Deictic Prompting.
CoRR, 2024

Multilingual Text-to-Image Generation Magnifies Gender Stereotypes and Prompt Engineering May Not Help You.
CoRR, 2024

2023
Explanatory Interactive Machine Learning.
Bus. Inf. Syst. Eng., December, 2023

A typology for exploring the mitigation of shortcut behaviour.
Nat. Mac. Intell., March, 2023

Self-Supervised Learning of Machine Ethics.
PhD thesis, 2023

Exploiting Cultural Biases via Homoglyphs in Text-to-Image Synthesis.
J. Artif. Intell. Res., 2023

LEDITS++: Limitless Image Editing using Text-to-Image Models.
CoRR, 2023

Divergent Token Metrics: Measuring degradation to prune away LLM components - and optimize quantization.
CoRR, 2023

Distilling Adversarial Prompts from Safety Benchmarks: Report for the Adversarial Nibbler Challenge.
CoRR, 2023

Mitigating Inappropriateness in Image Generation: Can there be Value in Reflecting the World's Ugliness?
CoRR, 2023

Image Classifiers Leak Sensitive Attributes About Their Classes.
CoRR, 2023

Fair Diffusion: Instructing Text-to-Image Generation Models on Fairness.
CoRR, 2023

SEGA: Instructing Diffusion using Semantic Dimensions.
CoRR, 2023

AtMan: Understanding Transformer Predictions Through Memory Efficient Attention Manipulation.
CoRR, 2023

ATMAN: Understanding Transformer Predictions Through Memory Efficient Attention Manipulation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

SEGA: Instructing Text-to-Image Models using Semantic Guidance.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

MultiFusion: Fusing Pre-Trained Models for Multi-Lingual, Multi-Modal Image Generation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ILLUME: Rationalizing Vision-Language Models through Human Interactions.
Proceedings of the International Conference on Machine Learning, 2023

Revision Transformers: Instructing Language Models to Change Their Values.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Speaking Multiple Languages Affects the Moral Bias of Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Large pre-trained language models contain human-like biases of what is right and wrong to do.
Nat. Mach. Intell., 2022

The Stable Artist: Steering Semantics in Diffusion Latent Space.
CoRR, 2022

Revision Transformers: Getting RiT of No-Nos.
CoRR, 2022

LogicRank: Logic Induced Reranking for Generative Text-to-Image Systems.
CoRR, 2022

ILLUME: Rationalizing Vision-Language Models by Interacting with their Jabber.
CoRR, 2022

Do Multilingual Language Models Capture Differing Moral Norms?
CoRR, 2022

A Typology to Explore and Guide Explanatory Interactive Machine Learning.
CoRR, 2022

LAION-5B: An open large-scale dataset for training next generation image-text models.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Interactively Providing Explanations for Transformer Language Models.
Proceedings of the HHAI 2022: Augmenting Human Intellect, 2022

Can Machines Help Us Answering Question 16 in Datasheets, and In Turn Reflecting on Inappropriate Content?
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Interactive Disentanglement: Learning Concepts by Interacting with their Prototype Representations.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Inferring Offensiveness In Images From Natural Language Supervision.
CoRR, 2021

Interactively Generating Explanations for Transformer Language Models.
CoRR, 2021

Language Models have a Moral Dimension.
CoRR, 2021

Recurrent Rational Networks.
CoRR, 2021

Right for the Right Concept: Revising Neuro-Symbolic Concepts by Interacting With Their Explanations.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Right for Better Reasons: Training Differentiable Models by Constraining their Influence Functions.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Making deep neural networks right for the right scientific reasons by interacting with their explanations.
Nat. Mach. Intell., 2020

The Moral Choice Machine.
Frontiers Artif. Intell., 2020

Right for the Wrong Scientific Reasons: Revising Deep Networks by Interacting with their Explanations.
CoRR, 2020

Alfie: An Interactive Robot with Moral Compass.
Proceedings of the ICMI '20: International Conference on Multimodal Interaction, 2020

Padé Activation Units: End-to-end Learning of Flexible Activation Functions in Deep Networks.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Extending Hyperspectral Imaging for Plant Phenotyping to the UV-Range.
Remote. Sens., 2019

BERT has a Moral Compass: Improvements of ethical and moral values of machines.
CoRR, 2019

Semantics Derived Automatically from Language Corpora Contain Human-like Moral Choices.
Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019

2018
Neural Conditional Gradients.
CoRR, 2018


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