Recent Submissions

  • DUDF: Differentiable Unsigned Distance Fields with Hyperbolic Scaling 

    Fainstein, Miguel; Siless, Viviana; Iarussi, Emmanuel (Universidad Torcuato Di Tella, 2024)
    In recent years, there has been a growing interest in training Neural Networks to approximate Unsigned Distance Fields (UDFs) for representing open surfaces in the context of 3D reconstruction. However, UDFs are ...
  • A synthesis of evidence for policy from behavioural science during COVID-19 

    Navajas, Joaquín; Ruggeri, Kai; Haslam, S. Alexander; Capraro, Valerio; Boggio, Paulo; Ellemers, Naomi; Cichocka, Aleksandra; Douglas, Karen M.; Rand, David G.; van der Linden, Sander; Cikara, Mina; Finkel, Eli J.; Druckman, James N.; Wohl, Michael J. A.; Petty, Richard E.; Tucker, Joshua A.; Shariff, Azim; Gelfand, Michele; Packer, Dominic; Jetten, Jolanda; Van Lange, Paul A. M.; Pennycook, Gordon; Peters, Ellen; Baicker, Katherine; Crum, Alia; Weeden, Kim A.; Napper, Lucy; Tabri, Nassim; Zaki, Jamil; Skitka, Linda; Kitayama, Shinobu; Mobbs, Dean; Sunstein, Cass R.; Ashcroft-Jones, Sarah; Todsen, Anna Louise; Hajian, Ali; Verra, Sanne; Buehler, Vanessa; Friedemann, Maja; Hecht, Marlene; Mobarak, Rayyan S.; Karakasheva, Ralitsa; Tünte, Markus R.; Yeung, Siu; Kit Rosenbaum, R. Shayna; Lep, Žan; Yamada, Yuki; Hudson, Sa-kiera Tiarra Jolynn; Macchia, Lucía; Soboleva, Irina; Dimant, Eugen; Geiger, Sandra J.; Jarke, Hannes; Wingen, Tobias; Berkessel, Jana B.; Mareva, Silvana; McGill, Lucy; Papa, Francesca; Većkalov, Bojana; Afif, Zeina; Buabang, Eike K.; Landman, Marna; Tavera, Felice; Andrews, Jack L.; Bursalıoğlu, Aslı Zupan,; Zorana Wagner, Lisa; Vranka, Marek; Kasdan, David; Chen, Patricia; Hudson, Kathleen R.; Novak, Lindsay M.; Teas, Paul; Rachev, Nikolay R.; Galizzi, Matteo M. (Nature ISSN 1476-4687 (online), 2023)
    Scientific evidence regularly guides policy decisions1, with behavioural science increasingly part of this process2. In April 2020, an influential paper3 proposed 19 policy recommendations (‘claims’) detailing how evidence ...
  • The wisdom of extremized crowds: Promoting erroneous divergent opinions increases collective accuracy 

    Navajas, Joaquin; Barrera Lermarchand, Federico; Balenzuela, Pablo; Bahrami,Bahador; Deroy, Ophelia (Universidad Torcuato Di Tella, 2023)
    The aggregation of many lay judgements can generate surprisingly accurate estimates. This effect, known as the “wisdom of the crowd”, has been demonstrated in domains such as medical decision-making, factchecking news, ...
  • Learning normal asymmetry representations for homologous brain structures 

    Bendersky, Mariana; Iarussi, Emmanuel; Deangeli, Duilio; Princich, Juan Pablo; Larrabide, Ignacio; Orlando, José Ignacio (Universidad Torcuato Di Tella, 2023)
    Although normal homologous brain structures are approximately symmetrical by definition, they also have shape differences due to e.g. natural ageing. On the other hand, neurodegenerative conditions induce their own changes ...
  • VesselVAE: Recursive Variational Autoencoders for 3D Blood Vessel Synthesis 

    Feldman, Paula; Fainstein, Miguel; Siless, Viviana; Iarussi, Emmanuel; Delrieux, Claudio (Universidad Torcuato Di Tella, 2023)
    We present a data-driven generative framework for synthesizing blood vessel 3D geometry. This is a challenging task due to the complexity of vascular systems, which are highly variating in shape, size, and structure. ...
  • Predicción de la satisfacción del usuario a partir de chats de atención al cliente 

    Romanisio, Alejandro; Gravano, Agustín (Memorias de las JAIIO, 2023)
    Los servicios de atención al cliente son determinantes de la experiencia de usuario de las empresas Fintech. Este trabajo busca entender, empleando técnicas de machine learning, qué factores llevan a ...
  • Teamwork Quality Prediction Using Speech-Based Features 

    Meza, Martín; Gauder, Lara; Estienne, Lautaro; Barchi, Ricardo; Gravano, Agustín; Riera, Pablo; Ferrer, Luciana (SMM23, Workshop on Speech, Music and Mind 2023, 2023)
    This paper describes a novel protocol for annotating teamwork quality and related variables, based only on the speech signal. Our protocol was designed to annotate a Spanish version of the Objects Games corpus, a publicly ...

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