Event type: Other

The Lisbon Machine Learning Summer School (LxMLS) is an annual event hosted at Instituto Superior Técnico. The 2025 edition will be a six-day in-person event, taking place from July 19th to 25th.

The Summer School is addressed to researchers and graduate students in the fields of NLP and Computational Linguistics, computer scientists (interested in statistics and machine learning), industry practitioners who desire a more in-depth understanding of these subjects.

The school covers a range of machine learning topics, from theory to practice, that are important in solving natural language processing problems arising in different application areas. No deep previous knowledge of ML or NLP is required, but the attendants are assumed to have some basic background on mathematics and programming.

The event is organized jointly by Instituto Superior Técnico (IST), Instituto de Telecomunicações, Instituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa (INESC-ID), the Lisbon ELLIS Unit for Learning and Intelligent Systems (LUMLIS), Unbabel, Zendesk, and IBM Research.

This year’s edition of LxMLS features several CMU Portugal faculty members and alumni.

André Martins a CMU Portugal alumnus, is currently VP of AI Research at Unbabel, a CMU Portugal Industrial Affiliated company; Zita Marinho, a Research Scientist at DeepMind, is a Dual Degree Ph.D. alumna in Computer Science and Robotics (Técnico | CMU Robotics Institute). Isabel Trancoso, a CMU Portugal faculty member and researcher (Técnico | INESC-ID), will serve on the Steering Committee. She will be joined by Fernando Pereira, a member of the CMU Portugal External Review Committee and Google (USA) Vice President and Engineering Fellow.

The event will also count with Carnegie Mellon University faculty Bhiksha Raj, from the Language Technologies Institute of Carnegie Mellon University, who was already part of  LxMLS two previous editions, and participating for the first time, Beidi Chen, Assistant Professor of Electrical and Computer Engineering at CMU.

The deadline for registrations is April 28th and the application form is available here.

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Important Dates:

• Application Deadline: April 28th
• Notification of Admission: May 13th
• Early registration: June 27th
• Late registration: July 12th
• Summer School: July 19th-25th

More information is available on the LxMLS 2025 website.

The launch of the 5 cm PocketQube satellite “PROMETHEUS-1” will take place on January 14th, set to start at 6 p.m., at the School of Engineering of Universidade do Minho (EEUM), in Guimarães, Portugal.

The satellite was built at Universidade do Minho in collaboration with Instituto Superior Técnico  and Carnegie Mellon University, under the CMU Portugal’s Exploratory Research Project “PROMETHEUS – PocketQube Framework Designed for Research and Educational Access to Space“. The Principal Investigators of this project are Alexandre Ferreira da Silva, Universidade do Minho, and Zachary Manchester, from Carnegie Mellon University. 

João Magalhães, the National co-director of the Carnegie Mellon Portugal Program, will attend the event and represent the program.

The agenda of the event is:

6:00 pm: Opening Session

6:20 pm: PROMETHEUS-1 – Presentation

6:45 pm: SpaceX – Falcon 9, Launch (preview)*

7:00 pm: Portuguese Space Agency

7:15 pm: Universidade do Minho and Portuguese Air Force Protocol Signing

7:30 pm: Future Portuguese Satellites, N3O

7:45 pm: PROMETHEUS-1,  deployment*
Closing
*due to the nature of the event, the times indicated (*) may be subject to some deviation.

More information here.  The event will be streamed via YouTube.

 

“Cryptography: the need and the dilemma – debate and prize”

Date & Time: December 11 I  6pm – 7:30pm
Location: Anfiteatro Va4, Pavilhão de Civil, Instituto Superior Técnico (Alameda Campus)

On December 11st will take place at Instituto Superior Técnico the Award Ceremony of the “Best Portuguese Internet Research of the Internet Society 2024”. The winning paper, “Flow Correlation Attacks on Tor Onion Service Sessions with Sliding Subset Sum,” was authored by Daniela Lopes, a CMU Portugal Affiliated Ph.D. student at INESC-ID and Instituto Superior Técnico working under the DAnon project. Her advisors and DAnon principal investigators, Nuno Santos (Técnico | INESC-ID) in Portugal and Nicolas Christin (CyLab, Carnegie Mellon University), co-authored the paper.

Agenda:

• Opening
• Panel Discussion:– Maria Manuel Leitão Marques: Faculty of Economics, Universidade de Coimbra; Member of the European Parliament (2019–2024); Former Minister of the Presidency
  – Robin Wilton: Director of Internet Trust, Internet Society (ISOC); Program Director for NDSS
  – Miguel Pupo Correia: Full Professor, Instituto Superior Técnico I INESC ID

• Award Presentation

More about the event here. 
Registration Form

The CMU Portugal Program, supported by Fundação para a Ciência e a Tecnologia (FCT), will sign on April 9th at 2pm, an agreement with NOVA Medical School and the Nova School of Business and Economics (Nova SBE) to launch the CMU Portugal Patient Innovation Accelerator. 

This joint Accelerator represents a significant milestone in the healthcare innovation landscape in Portugal, aiming to boost advanced healthcare solutions and foster entrepreneurship in the sector. The Patient Innovation (PI) platform was created in 2014 as the result of CMU Portugal project TEIPL, a Entrepreneurial Research Initiatives (ERIs) launched in 2013.

The Patient Innovation Bootcamp is an acceleration program currently underway and funded by EIT Health is held in Lisbon, Barcelona, and Copenhagen and coordinated by Nova SBE and NOVA Medical School in partnership with Copenhagen Business School, IESE Business School, BioCat.

This year the PI Bootcamp will be held in partnership with CMU Portugal. After the bootcamp, participating startups will advance to an additional acceleration phase, during which they will receive support to expand and develop their businesses at Carnegie Mellon University in Pittsburgh, USA.

Following the signature event, the first initiative resulting from this collaboration protocol will be the participation of CMU Portugal in the celebration of the second anniversary of the Haddad Entrepreneurship Institute at Nova SBE, on April 10, 2024, at 5pm.

The Lisbon Machine Learning Summer School (LxMLS) takes place yearly at Instituto Superior Técnico, with CMU support. LxMLS 2024 will be a 6-day event, scheduled to take place from July 11th to the 17th as an in-person event.

This event is addressed to researchers and graduate students in the fields of NLP and Computational Linguistics, computer scientists (interested in statistics and machine learning), industry practitioners who desire a more in-depth understanding of these subjects.

The school covers a range of machine learning topics, from theory to practice, that are important in solving natural language processing problems arising in different application areas. It is organized jointly by Instituto Superior Técnico,  the Instituto de Telecomunicações, the Instituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa (INESC-ID), the Lisbon ELLIS Unit for Learning and Intelligent Systems (LUMLIS), Unbabel, Zendesk, and IBM Research.

The deadline for registrations is April 26th and the application form is available here.

The LxMLS counts with several CMU Portugal Faculty members and alumns. André Martins is a CMU Portugal Alum, currently working as VP of AI Research at Unbabel, a CMU Portugal Industrial Affiliated company; Zita Marinho, is a Research Scientist at DeepMind and a Dual Degree Ph.D. alumna in Computer Science/Robotics (Técnico I CMU Robotics Institute); Isabel Trancoso, CMU Portugal Faculty & Researcher (Técnico I INESC ID) will be part of the steering Committee joining Fernando Pereira, member from the CMU Portugal External Review Committee, and the Google (USA) Vice President and Engineering Fellow.

The event will count with Carnegie Mellon University faculty Bhiksha Raj, from the Language Technologies Institute of Carnegie Mellon University, who was already part of the LxMLS 2023’s edition and participating for the first time,  Albert Gu, Assistant Professor at the Machine Learning Department.

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Important Dates:

• Application Deadline: April 26th
• Notification of Admission: May 6th
• Early registration: June 28th
• Late registration: July 5th
• Summer School: July 11th-17th

More information is available on the LxMLS 2024 website.

The CMU Portugal Program is organizing a Welcome Back event on September 19th addressed to all students spending this next semester in Pittsburgh. This is a grab and go event where students may stop by to grab coffee, donuts and fruit in the morning between 9:00-11:00 am.

This networking event intends to foster a supportive community of Ph.D. candidates while providing participants the opportunity to connect and share experiences with their peers who are also on campus. 

The Program currently has 23 active students attending the Fall semester at Carnegie Mellon, and anticipates 22 visiting students and faculty later in the semester. 

The 2023 edition of the Lisbon Machine Learning Summer School (LxMLS 2023) will take place between July 14th and July 20th at the Congress Center of Instituto Superior Técnico. For the third year, the CMU Portugal Program proudly associates with this yearly reference event with over one decade of existence. 

The LxMLS 2023 covers a range of machine learning topics, from theory to practice, that are important in solving natural language processing (NLP) problems arising in different application areas. It is organized jointly by Instituto Superior Técnico (Técnico), Instituto de Telecomunicações (IT) , Instituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento (INESC-ID), the Lisbon ELLIS Unit for Learning and Intelligent Systems (LUMLIS), and Unbabel, Zendesk, and IBM Research, with the support of the CMU Portugal Program.

The deadline for applications is April 28th, 2023, and the application form is available online.

Among the invited speakers and Instructors are CMU Portugal Faculty members from IT/Técnico (Universidade de Lisboa) André Martins and Mário Figueiredo, who are also the main organizers. André is also a CMU Portugal Alum currently working as VP of AI Research at Unbabel, a CMU Portugal Industrial Affiliate company.

From Carnegie Mellon University, the event will count on CMU Portugal faculty member Bhiksha Raj, from the Language Technologies Institute. 

As an organizer of this year’s edition is Zita Marinho, Research Scientist at DeepMind and a Dual Degree Ph.D. alumna in Computer Science – Robotics at Técnico and CMU Robotics Institute.

As part of the steering Committee are Isabel Trancoso, CMU Portugal Faculty & Researcher, and Fernando Pereira from Google and a CMU Portugal External Review Committee member. 

More about the School Schedule and Instructors is available on the LxMLS 2023 website.

Other useful information:

Important Dates
—————
* Application Deadline: April 28, 2023
* Notification of Admission: May 12, 2023
* Early registration: May 12 – June 30, 2023
* Summer School: July 14 – 20, 2023

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.

The 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;
* 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 is
available on the website.
* The first day 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 and transformers) will be covered
* Welcome reception, Banquet, daily lunch as well as morning and afternoon
coffee breaks are included in the application fee
* Lecturers are leading researchers in machine learning and natural language
processing

List of Confirmed Speakers
—————

• ADÈLE H. RIBEIRO Columbia University | USA 
• ANDRÉ MARTINS University of Lisbon & Unbabel | Portugal 
• BHIKSHA RAJ Carnegie Mellon University | USA
• DESMOND ELLIOTT University Of Copenhagen | Denmark 
• KYUNGHYUN CHO New York University | USA 
• MÁRIO FIGUEIREDO University of Lisbon & Instituto de Telecomunicações | Portugal 
• NOAH SMITH University of Washington & Allen Institute for Artificial Intelligence | USA 
• SARA HOOKER Cohere for AI |Canada 
• SLAV PETROV Google Inc. | USA 
• WILKER AZIZ University Of Amsterdam | Netherlands 
• YEJIN CHOI University of Washington | USA

Any other questions should be directed to: lxmls-2023@lx.it.pt.