Profile

Stephan Alaniz is a post-doctoral researcher and deputy head of the Explainable Machine Learning group at Helmholtz Munich and the Technical University of Munich. His Ph.D was partially done at the University of Amsterdam, the Max Planck Institute for Informatics and the University of Tübingen, supervised by Zeynep Akata and Bernt Schiele. His research focuses on explainable AI and multimodal learning with vision and language.

Publications

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 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
Provisionally accepted at PNAS, 2024

 

DataDream: Few-shot Guided Dataset Generation
Jae Myung Kim, Jessica Bader, Stephan Alaniz, Cordelia Schmid, Zeynep Akata
ECCV 2024

 

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

 

Iterative Superquadric Recomposition of 3D Objects from Multiple Views
Stephan Alaniz, Massimiliano Mancini, and Zeynep Akata
ICCV 2023

 

PDiscoNet: Semantically consistent part discovery for fine-grained recognition
Robert van der Klis, Stephan Alaniz, Massimiliano Mancini, Cassio Dantas, Dino Ienco, Zeynep Akata, Diego Marcos
ICCV 2023

 

DeViL: Decoding Vision features into Language
Meghal Dani*, Isabel Rio-Torto*, Stephan Alaniz, and Zeynep Akata
GCPR 2023 (oral)

 

Abstracting Sketches through Simple Primitives
Stephan Alaniz, Massimiliano Mancini, Anjan Dutta, Diego Marcos, Zeynep Akata
ECCV 2022

 

Compositional Mixture Representations for Vision and Text
Stephan Alaniz, Marco Federici, Zeynep Akata
CVPR-W 2022 (L3D-IVU)

 

Semantic Image Synthesis with Semantically Coupled VQ-Model
Stephan Alaniz*, Thomas Hummel*, Zeynep Akata
ICLR-W 2022 (DGM4HSD)

 

Learning Decision Trees Recurrently Through Communication
Stephan Alaniz, Diego Marcos, Bernt Schiele, Zeynep Akata
CVPR 2021

 

Modeling Conceptual Understanding in Image Reference Games
Rodolfo Corona*, Stephan Alaniz*, Zeynep Akata
NeurIPS 2019

 

Deep Reinforcement Learning with Model Learning and Monte Carlo Tree Search in Minecraft
Stephan Alaniz
RLDM 2017

 

* denotes equal contribution