INESC-ID

Category: jpaAgenda

internal use to group open positions, DLS and seminars

  • Francisco António Chaves Saraiva de Melo: “Agregação” (Habilitation) in Computer Science and Engineering

    Francisco António Chaves Saraiva de Melo, INESC-ID researcher within the Artificial Intelligence for People and Society Research Area and Associate Professor at the Department of Computer Science and Engineering of Instituto Superior Técnico, will present a course unit report and a seminar in order to be awarded his Agregação (Habilitation) in Computer Science and Engineering on 30th and 31st May 2022.

    Francisco Melo will present the course unit report titled Planning, Learning, and Intelligent Decision Making at 9am on 30th May 2022 (available on Zoom), followed by the seminar Reinforcement learning: A dynamical systems viewpoint at 9am on 31st May 2022 (available on Zoom).

  • 11th Lisbon Machine Learning Summer School

    11th Lisbon Machine Learning Summer School

    LxMLS 2021 will take place July 7th to July 15th in online format (via zoom and slack). It is organized jointly by Instituto Superior Técnico (IST), a leading Engineering and Science school in Portugal, the Instituto de Telecomunicações, the Instituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa (INESC-ID), Unbabel and Cleverly.

    Click here for information about past editions (LxMLS 2011, LxMLS 2012, LxMLS 2013, LxMLS 2014, LxMLS 2015, LxMLS 2016, LxMLS 2017, LxMLS 2018, LxMLS 2019, LxMLS 2020) and to watch the videos of the lectures (2016, 2017, 2018, 2020).

     

    Call for Participation

    Important Dates
    —————
    * Application Deadline: May 15, 2021
    * Decision: June 1, 2021
    * Early Registration: June 15 – July 1, 2021
    * Summer School: July 7 – 15, 2021


    Topics and Intended Audience
    —————

    The school will cover a range of Machine Learning (ML) topics, from theory to practice, that are important in solving Natural Language Processing (NLP) problems that arise in the analysis and use of Web data.

    Our target audience is:

    • Researchers and graduate students in the fields of NLP and Computational Linguistics;
    • Computer scientists who have interests in statistics and machine learning;
    • Industry practitioners who desire a more in depth understanding of these subjects.

    Features of LxMLS:

    • No deep previous knowledge of ML or NLP is required, but the attendants are assumed to have some basic background on mathematics and programming
    • Lecturers are leading researchers in machine learning and natural language processing (see speakers)
    • Days are divided into morning lectures and afternoon lab sessions and practical talks (see schedule)
    • The Labs guide will be provided one month in advance. Last year’s guide can be found here
    • A day zero is scheduled to review basic concepts and introduce the necessary tools for implementation exercises
    • Both basic (e.g linear classifiers) and advanced topics (e.g. deep learning, reinforcement learning) will be covered



    Online Format:

    Due to the current COVID-19 pandemic, the 11th Lisbon Machine Learning School will be held online (via zoom and slack). Similar to last year, we are excited for the opportunity to create a virtual school, where you will be able to attend all the lectures, and participate in the Q&As and labs remotely. We will also provide the tools for students to engage with each other remotely. The lectures will also be streamed to YouTube, and will become freely available later in our YouTube channel. The Q&A, labs and social activities will remain restricted to the accepted students only.

    List of Confirmed Speakers
    —————

    LUIS PEDRO COELHO Fudan University | China
    MÁRIO FIGUEIREDO Instituto de Telecomunicações & Instituto Superior Técnico | Portugal
    ANDRE MARTINS Instituto de Telecomunicações & Unbabel | Portugal
    IRYNA GULEYVICH Technical University Darmstat | Germany
    NOAH SMITH University of Washington & Allen Institute for Artificial Intelligence | USA
    SLAV PETROV Google Inc. | USA
    XAVIER CARRERAS dMetrics | USA
    GRAHAM NEUBIG Carnegie Mellon University | USA
    BHIKSHA RAJ Carnegie Mellon University | USA
    CHRIS DYER Google Deep Mind | UK
    ELIAS BARENBOIM Columbia University | USA
    ADELE RIBEIRO Columbia University | USA
    STEFAN RIEZLER Institut für Computerlinguistik, Universität Heidelberg | Germany
    BARBARA PLANK IT University of Copenhagen | Denmark
    SASHA RUSH Cornell Tech | USA

    Please visit the webpage for up to date information: http://lxmls.it.pt/2021

    To apply, please fill the form in https://lisbonmls.wufoo.com/forms/application-form-lxmls-2021/
    Any questions should be directed to: lxmls-2021@lx.it.pt.

  • IEEE VR Conference

    IEEE VR Conference

    IEEE VR Conference

    27 March – 3 April |  Virtual

    The IEEE Conference on Virtual Reality and 3D User Interfaces (IEEE VR) is the premier international event for the presentation of research results in the broad areas of virtual, augmented, and mixed reality (VR/AR/XR).

     

    Since 1993, IEEE VR has presented groundbreaking research and accomplishments by virtual reality pioneers: scientists, engineers, designers, and artists, paving the way for the future. Soon, IEEE VR expanded its scope to also include augmented, mixed, and other forms of mediated reality. Similarly, the IEEE Symposium on 3D User Interfaces (3DUI), which started as a workshop at IEEE VR in 2004, has become the premier venue for 3D user interfaces and 3D interaction in virtual environments. In 2018, VR and 3DUI were merged into the IEEE Conference on Virtual Reality and 3D User Interfaces, with the short name IEEE VR. In 2020, VR was the first major IEEE conference to be held entirely online and in a virtual environment.

     

    More info: http://ieeevr.org/2021/