Deep Reinforcement Learning with Model Learning and Monte Carlo Tree Search in Minecraft. - Stephan Alaniz (CoRR, 2018)

Modeling Conceptual Understanding in Image Reference Games. - Rodolfo Corona; Stephan Alaniz; Zeynep Akata (NeurIPS, 2019)

XOC: Explainable Observer-Classifier for Explainable Binary Decisions. - Stephan Alaniz; Zeynep Akata (CoRR, 2019)

Learning Decision Trees Recurrently Through Communication. - Stephan Alaniz; Diego Marcos; Bernt Schiele; Zeynep Akata (CVPR, 2021)

Compositional Mixture Representations for Vision and Text. - Stephan Alaniz; Marco Federici; Zeynep Akata (CVPR Workshops, 2022)

Abstracting Sketches Through Simple Primitives. - Stephan Alaniz; Massimiliano Mancini; Anjan Dutta 001; Diego Marcos; Zeynep Akata (ECCV (29), 2022)

Semantic Image Synthesis with Semantically Coupled VQ-Model. - Stephan Alaniz; Thomas Hummel 001; Zeynep Akata (CoRR, 2022)

Explainability in Deep Learning by Means of Communication. - Stephan Alaniz (2022)

DeViL: Decoding Vision features into Language. - Meghal Dani; Isabel Rio-Torto; Stephan Alaniz; Zeynep Akata (DAGM, 2023)

Iterative Superquadric Recomposition of 3D Objects from Multiple Views. - Stephan Alaniz; Massimiliano Mancini; Zeynep Akata (ICCV, 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 (ICCV, 2023)

In-Context Impersonation Reveals Large Language Models' Strengths and Biases. - Leonard Salewski; Stephan Alaniz; Isabel Rio-Torto; Eric Schulz; Zeynep Akata (NeurIPS, 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; et al. (CoRR, 2023)

DataDream: Few-Shot Guided Dataset Generation. - Jae Myung Kim; Jessica Bader; Stephan Alaniz; Cordelia Schmid; Zeynep Akata (ECCV (71), 2024)

COSMOS: Cross-Modality Self-Distillation for Vision Language Pre-training. - Sanghwan Kim; Rui Xiao; Mariana-Iuliana Georgescu; Stephan Alaniz; Zeynep Akata (CVPR, 2025)

FLAIR: VLM with Fine-grained Language-informed Image Representations. - Rui Xiao; Sanghwan Kim; Mariana-Iuliana Georgescu; Zeynep Akata; Stephan Alaniz (CVPR, 2025)

Revealing and Reducing Gender Biases in Vision and Language Assistants (VLAs). - Leander Girrbach; Stephan Alaniz; Yiran Huang; Trevor Darrell; Zeynep Akata (ICLR, 2025)

Discovering Chunks in Neural Embeddings for Interpretability. - Shuchen Wu; Stephan Alaniz; Eric Schulz; Zeynep Akata (CoRR, 2025)

A Large Scale Analysis of Gender Biases in Text-to-Image Generative Models. - Leander Girrbach; Stephan Alaniz; Genevieve Smith; Zeynep Akata (CoRR, 2025)

Feasibility with Language Models for Open-World Compositional Zero-Shot Learning. - Jae Myung Kim; Stephan Alaniz; Cordelia Schmid; Zeynep Akata (CoRR, 2025)

Concept-Guided Interpretability via Neural Chunking. - Shuchen Wu; Stephan Alaniz; Shyamgopal Karthik; Peter S. Dayan; Eric Schulz; Zeynep Akata (CoRR, 2025)

LoFT: LoRA-fused Training Dataset Generation with Few-shot Guidance. - Jae Myung Kim; Stephan Alaniz; Cordelia Schmid; Zeynep Akata (CoRR, 2025)

SUB: Benchmarking CBM Generalization via Synthetic Attribute Substitutions. - Jessica Bader; Leander Girrbach; Stephan Alaniz; Zeynep Akata (CoRR, 2025)