Repository for Publications and Research Data

Search ETH Zurich’s Research Collection for scientific publications and research data or submit your own research output. Read more

News 

Fit in research data management – workshop series in Autumn Semester 2024

Get yourself and your research project in shape with our research data management workshop programme. You can now register for the Autumn Semester 2024 workshops. Read more

Short and sweet: the “RDM Guidelines” for ETH researches explained

In a series of short videos, we explain the most important aspects of the “RDM Guidelines” quickly and easily – for good scientific practice and FAIR data. Read more

Into the summer with knowledge and caffeine – the Coffee Lectures in June

Can’t see your way through the open access jungle? Tangled up in literature management? Lacking inspiration for your holiday reading? Then come to one of our Coffee Lectures. All you need is 15 minutes. Read more

  

Recently Added 

  1. Box2Poly: Memory-Efficient Polygon Prediction of Arbitrarily Shaped and Rotated Text 

    Chen, Xuyang; Wang, Dong; Schindler, Konrad; et al. (2024)
    Proceedings of the AAAI Conference on Artificial Intelligence
    Recently, Transformer-based text detection techniques have sought to predict polygons by encoding the coordinates of individual boundary vertices using distinct query features. However, this approach incurs a significant memory overhead and struggles to effectively capture the intricate relationships between vertices belonging to the same instance. Consequently, irregular text layouts often lead to the prediction of outlined vertices, ...
    Conference Paper

  2. From Monopoly to Competition: Optimal Contests Prevail 

    Deng, Xiaotie; Gafni, Yotam; Lavi, Ron; et al. (2023)
    Proceedings of the AAAI Conference on Artificial Intelligence
    We study competition among contests in a general model that allows for an arbitrary and heterogeneous space of contest design and symmetric contestants. The goal of the contest designers is to maximize the contestants' sum of efforts. Our main result shows that optimal contests in the monopolistic setting (i.e., those that maximize the sum of efforts in a model with a single contest) form an equilibrium in the model with competition among ...
    Conference Paper

  3. Bayesian Optimization-Based Combinatorial Assignment 

    Weissteiner, Jakob; Heiss, Jakob; Siems, Julien; et al. (2023)
    Proceedings of the AAAI Conference on Artificial Intelligence
    We study the combinatorial assignment domain, which includes combinatorial auctions and course allocation. The main challenge in this domain is that the bundle space grows exponentially in the number of items. To address this, several papers have recently proposed machine learning-based preference elicitation algorithms that aim to elicit only the most important information from agents. However, the main shortcoming of this prior work is ...
    Conference Paper

  4. Increasing extreme melt in northeast Greenland linked to foehn winds and atmospheric rivers (vol 14, 1743, 2023) 

    Mattingly, Kyle S.; Turton, Jenny V.; Wille, Jonathan D.; et al. (2024)
    NATURE COMMUNICATIONS
    Other Journal Item

  5. Cathodoluminescent and Characteristic X-Ray-Emissive Rare-Earth-Doped Core/Shell Protein Labels for Spectromicroscopic Analysis of Cell Surface Receptors 

    Habermann, Sebastian; Gerken, Lukas R. H.; Kociak, Mathieu; et al. (2024)
    Small
    Understanding the localization and the interactions of biomolecules at the nanoscale and in the cellular context remains challenging. Electron microscopy (EM), unlike light-based microscopy, gives access to the cellular ultrastructure yet results in grey-scale images and averts unambiguous (co-)localization of biomolecules. Multimodal nanoparticle-based protein labels for correlative cathodoluminescence electron microscopy (CCLEM) and ...
    Journal Article

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