Stephan Alaniz

Orcid: 0000-0003-3541-2163

According to our database1, Stephan Alaniz authored at least 13 papers between 2018 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
How should the advent of large language models affect the practice of science?
CoRR, 2023

In-Context Impersonation Reveals Large Language Models' Strengths and Biases.
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.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Iterative Superquadric Recomposition of 3D Objects from Multiple Views.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DeViL: Decoding Vision features into Language.
Proceedings of the Pattern Recognition - 45th DAGM German Conference, 2023

2022
Explainability in Deep Learning by Means of Communication.
PhD thesis, 2022

Semantic Image Synthesis with Semantically Coupled VQ-Model.
CoRR, 2022

Abstracting Sketches Through Simple Primitives.
Proceedings of the Computer Vision - ECCV 2022, 2022

Compositional Mixture Representations for Vision and Text.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
Learning Decision Trees Recurrently Through Communication.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2019
XOC: Explainable Observer-Classifier for Explainable Binary Decisions.
CoRR, 2019

Modeling Conceptual Understanding in Image Reference Games.
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.
CoRR, 2018


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