Stephan Alaniz

According to our database, Stephan Alaniz authored at least 23 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

SUB: Benchmarking CBM Generalization via Synthetic Attribute Substitutions.

Jessica Bader, Leander Girrbach, Stephan Alaniz, Zeynep Akata

CoRR, July, 2025

LoFT: LoRA-fused Training Dataset Generation with Few-shot Guidance.

Jae Myung Kim, Stephan Alaniz, Cordelia Schmid, Zeynep Akata

CoRR, May, 2025

Concept-Guided Interpretability via Neural Chunking.

Shuchen Wu, Stephan Alaniz, Shyamgopal Karthik, Peter S. Dayan, Eric Schulz, Zeynep Akata

CoRR, May, 2025

Feasibility with Language Models for Open-World Compositional Zero-Shot Learning.

Jae Myung Kim, Stephan Alaniz, Cordelia Schmid, Zeynep Akata

CoRR, May, 2025

A Large Scale Analysis of Gender Biases in Text-to-Image Generative Models.

Leander Girrbach, Stephan Alaniz, Genevieve Smith, Zeynep Akata

CoRR, March, 2025

Discovering Chunks in Neural Embeddings for Interpretability.

Shuchen Wu, Stephan Alaniz, Eric Schulz, Zeynep Akata

CoRR, February, 2025

Revealing and Reducing Gender Biases in Vision and Language Assistants (VLAs).

Leander Girrbach, Stephan Alaniz, Yiran Huang, Trevor Darrell, Zeynep Akata

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

FLAIR: VLM with Fine-grained Language-informed Image Representations.

Rui Xiao, Sanghwan Kim, Mariana-Iuliana Georgescu, Zeynep Akata, Stephan Alaniz

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

COSMOS: Cross-Modality Self-Distillation for Vision Language Pre-training.

Sanghwan Kim, Rui Xiao, Mariana-Iuliana Georgescu, Stephan Alaniz, Zeynep Akata

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

DataDream: Few-Shot Guided Dataset Generation.

Jae Myung Kim, Jessica Bader, Stephan Alaniz, Cordelia Schmid, Zeynep Akata

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

How should the advent of large language models affect the practice of science?

Marcel Binz, Stephan Alaniz, Adina Roskies, Balazs Aczel, Carl T. Bergstrom, Colin Allen, Daniel Schad, Dirk U. Wulff, Jevin D. West, Qiong Zhang, Richard M. Shiffrin, Samuel J. Gershman, Ven Popov, Emily M. Bender, Marco Marelli, Matthew M. Botvinick, Zeynep Akata, Eric Schulz

CoRR, 2023

In-Context Impersonation Reveals Large Language Models' Strengths and Biases.

Leonard Salewski, Stephan Alaniz, Isabel Rio-Torto, Eric Schulz, Zeynep Akata

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PDiscoNet: Semantically consistent part discovery for fine-grained recognition.

Robert van der Klis, Stephan Alaniz, Massimiliano Mancini, Cássio Fraga Dantas, Dino Ienco, Zeynep Akata, Diego Marcos

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Iterative Superquadric Recomposition of 3D Objects from Multiple Views.

Stephan Alaniz, Massimiliano Mancini, Zeynep Akata

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DeViL: Decoding Vision features into Language.

Meghal Dani, Isabel Rio-Torto, Stephan Alaniz, Zeynep Akata

Proceedings of the Pattern Recognition - 45th DAGM German Conference, 2023

2022

Explainability in Deep Learning by Means of Communication.

Stephan Alaniz

PhD thesis, 2022

Semantic Image Synthesis with Semantically Coupled VQ-Model.

Stephan Alaniz, Thomas Hummel, Zeynep Akata

CoRR, 2022

Abstracting Sketches Through Simple Primitives.

Stephan Alaniz, Massimiliano Mancini, Anjan Dutta, Diego Marcos, Zeynep Akata

Proceedings of the Computer Vision - ECCV 2022, 2022

Compositional Mixture Representations for Vision and Text.

Stephan Alaniz, Marco Federici, Zeynep Akata

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Learning Decision Trees Recurrently Through Communication.

Stephan Alaniz, Diego Marcos, Bernt Schiele, Zeynep Akata

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2019

XOC: Explainable Observer-Classifier for Explainable Binary Decisions.

Stephan Alaniz, Zeynep Akata

CoRR, 2019

Modeling Conceptual Understanding in Image Reference Games.

Rodolfo Corona, Stephan Alaniz, Zeynep Akata

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Deep Reinforcement Learning with Model Learning and Monte Carlo Tree Search in Minecraft.

Stephan Alaniz

CoRR, 2018