- Machine-learning-nederland

Reminder: Thematic seminar: Samory Kpotufe, Fri November 26, 16h00
by Tim van Erven 22 Nov '21

22 Nov '21

Dear all, Our seminar speaker this Friday in the thematic seminar is Samory Kpotufe. Further below, there is also a list of upcoming talks that are scheduled for the second semester. *Samory Kpotufe* (Department of Statistics, Columbia University, http://www.columbia.edu/~skk2175/) Samory works on the intersection between statistics and machine learning, with an interest in adaptive methods, and was one of the chairs for last year's COLT learning theory conference. *Friday November 26*, 16.00-17.00 Online on Zoom: https://uva-live.zoom.us/j/85155421740 Meeting ID: 851 5542 1740 Please also join for online drinks after the talk. *Some Recent Insights on Transfer and Multitask Learning* A common situation in Machine Learning is one where training data is not fully representative of a target population due to bias in the sampling mechanism or due to prohibitive target sampling costs. In such situations, we aim to ’transfer’ relevant information from the training data (a.k.a. source data) to the target application. How much information is in the source data about the target application? Would some amount of target data improve transfer? These are all practical questions that depend crucially on 'how far' the source domain is from the target. However, how to properly measure 'distance' between source and target domains remains largely unclear. In this talk we will argue that much of the traditional notions of 'distance' (e.g. KL-divergence, extensions of TV such as D_A discrepancy, density-ratios, Wasserstein distance) can yield an over-pessimistic picture of transferability. Instead, we show that some asymmetric notions of 'relatedness' between source and target (which we simply term 'transfer-exponents') capture a continuum from easy to hard transfer. Transfer-exponents uncover a rich set of situations where transfer is possible even at fast rates; they encode relative benefits of source and target samples, and have interesting implications for related problems such as 'multi-task or multi-source learning'. In particular, in the case of transfer from multiple sources, we will discuss (if time permits) a strange phenomena: no procedure can guarantee a rate better than that of having a single data source, even in seemingly mild situations where multiple sources are informative about the target. The talk is based on earlier work with Guillaume Martinet, and ongoing work with Steve Hanneke. Seminar organizers: Tim van Erven Botond Szabo https://mschauer.github.io/StructuresSeminar/ *Upcoming talks:* Mar. 11, 2022, *Tomer Koren <https://mschauer.github.io/StructuresSeminar/#Koren>, *Tel Aviv University Mar. 25, 2022, *Nicolò Cesa-Bianchi <https://mschauer.github.io/StructuresSeminar/#CesaBianchi>**, *Università degli Studi di Milano Apr. 22, 2022, *Tor Lattimore <https://mschauer.github.io/StructuresSeminar/#Lattimore>*, DeepMind [date to be confirmed], *Julia Olkhovskaya <https://sites.google.com/view/julia-olkhovskaya/home>*, Vrije Universiteit -- Tim van Erven<tim(a)timvanerven.nl> www.timvanerven.nl

1 0

Thematic seminar: Samory Kpotufe, Fri November 26, 16h00
by Tim van Erven 15 Nov '21

15 Nov '21

Dear all, With things moving online again, the good news is that we have an interesting speaker lined up in the thematic seminar on Friday next week: *Samory Kpotufe* (Department of Statistics, Columbia University, http://www.columbia.edu/~skk2175/) Samory works on the intersection between statistics and machine learning, with an interest in adaptive methods, and was one of the chairs for last year's COLT learning theory conference. *Friday November 26*, 16.00-17.00 Online on Zoom: https://uva-live.zoom.us/j/85155421740 Meeting ID: 851 5542 1740 Please also join for online drinks after the talk. Title and abstract: TBA Seminar organizers: Tim van Erven Botond Szabo https://mschauer.github.io/StructuresSeminar/ -- Tim van Erven<tim(a)timvanerven.nl> www.timvanerven.nl

1 0

Best Paper Award (CHF 500) of the Special Issue "Women in Robotics" [Robotics] (ISSN 2218-6581, citescore 3.5)
by Charlene Dong 04 Nov '21

04 Nov '21

Dear colleagues, *A "Women in Robotics Award" will be granted to the best paper published in the Special Issue "Women in Robotics" https://www.mdpi.com/journal/robotics/special_issues/Women_Robotics Deadline: 25 December 2021 Each award nominee will be assessed on her paper's originality, quality, and contribution to the field by the Evaluation Committee. The winner will receive a certificate, an award of 500 CHF, and an opportunity to publish her next submission in Robotics free of charge.* If you are interested in this project, please feel free to contact us via email charlene.dong(a)mdpi.com or robotics(a)mdpi.com within two weeks. Look forward to hearing from you. Best regards, Ms. Charlene Dong Managing Editor Email: charlene.dong(a)mdpi.com Robotics (http://www.mdpi.com/journal/robotics/) LinkedIn: https://www.linkedin.com/company/74926083/admin/ Twitter: @RoboticsMDPI The 2020 CiteScores of Robotics is released and it increased to 3.5 (Ranking Q2 in Control and Optimization category). Update: 2021–2022 Robotics Travel Awards (800 CHF) Application Deadline: 30 June 2022 https://www.mdpi.com/journal/robotics/awards Disclaimer: MDPI recognizes the importance of data privacy and protection. We treat personal data in line with the General Data Protection Regulation (GDPR) and with what the community expects of us. The information contained in this message is confidential and intended solely for the use of the individual or entity to whom they are addressed. If you have received this message in error, please notify me and delete this message from your system. You may not copy this message in its entirety or in part, or disclose its contents to anyone.

1 0

Robotics 2021–2022 Best Video Abstract Award (500 CHF) - [Robotics] (ISSN 2218-6581, citescore 3.5)
by Charlene Dong 14 Oct '21

14 Oct '21

Dear Colleague, A video abstract can help the reader to have a clear understanding of the paper. We are pleased to announce that the Robotics 2021–2022 Best Video Abstract Award is open for applications. Authors are encouraged to provide a video abstract when submitting their manuscripts in order to improve the accessibility of papers. The winner will be selected through a vote by our readers and Award Committee from the papers published in Robotics. Timeline: – Deadline for video abstract submission: 31 December 2022; – Voting period: 1 January 2023–31 January 2023; – Date for announcement of the winner: 28 February 2023. Prize: There will be one awardee for this award, and the winner will receive the following: – CHF 500 (Swiss francs); – A waiver to publish a paper in Robotics (submitted before the end of 2023); – An electronic certificate. Who can participate? Authors who have written articles and reviews published in 2021–2022 with a video abstract. For detail information, please click: https://www.mdpi.com/journal/robotics/awards/1389 PLEASE NOTE: All video abstracts will be assessed for editorial suitability and quality by the editorial team. Please upload your video abstract when submitting your manuscript if you are interested in the award. For the authors of published papers, please send a video and a manuscript link to the Robotics Editorial Office (robotics(a)mdpi.com) if you would like to apply for the award. Charlene Dong Managing Editor Email: charlene.dong(a)mdpi.com Robotics (http://www.mdpi.com/journal/robotics/) The 2020 CiteScores of Robotics is released and it increased to 3.5 (Ranking Q2 in Control and Optimization category). 10th Anniversary of Robotics: A series of special content and events at https://www.mdpi.com/journal/robotics/anniversary Special Issue Proposal - Open for Application https://www.mdpi.com/journalproposal/sendproposalspecialissue/robotics

1 0

Announcement: Robotics 2021–2022 Travel Awards (CHF 800) — Application Deadline: 30 June 2022
by Charlene Dong 24 Sep '21

24 Sep '21

Dear Colleagues, We are pleased to announce that the Robotics 2021 Travel Award and the Robotics 2022 Travel Award have officially merged since most of the conferences related to the robotics field will be held in 2022. Additionally, at this particular moment of the COVID-19 pandemic, participants of virtual conferences are also welcome to apply for the award. Given all the above, applications are still open, and the new submission deadline is 30 June 2022. The applications will be assessed by an evaluation committee consisting of senior scholars from the Robotics Editorial Board. This prize provides financial support for the winners to attend an international conference (physical or virtual) in the fields related to robotic systems, to be held in 2021 and 2022, where they will deliver a presentation, present a poster, or both. Candidate Requirements: – Ph.D. graduate or Ph.D. student (proof required); – Plans to attend an international conference (physical or virtual) in 2021 and 2022 (oral presentation or poster). Required Application Documents: – Information about the conference that the applicant is planning to attend and the abstract that will be submitted; – Curriculum vitae and list of publications; – Justification letter describing the focus of the research (max. 800 words); – Letter of recommendation from at least one supervisor. The winners (two awardees) will each be awarded CHF 800 and a certificate. Please apply by clicking the link (https://www.mdpi.com/journal/robotics/awards/1057) before 30 June 2022. Prizes will be awarded at the end of July 2022 and announced on the Robotics website. Kind regards, Charlene Dong Managing Editor Robotics Editorial Office

1 0

Call for reading: Robotics, Volume 10, Issue 3 (September 2021) Table of Contents
by Charlene Dong 22 Sep '21

22 Sep '21

Robotics, Volume 10, Issue 3 (September 2021) - 26 articles https://www.mdpi.com/2218-6581/10/3 Table of Contents *Cover Story* Article: The Wearable Robotic Forearm: Design and Predictive Control of a Collaborative Supernumerary Robot Vighnesh Vatsal and Guy Hoffman Robotics 2021, 10(3), 91; doi:10.3390/robotics10030091 *General* Review: Socially Assistive Robots Helping Older Adults through the Pandemic and Life after COVID-19 Cristina Getson and Goldie Nejat Robotics 2021, 10(3), 106; doi:10.3390/robotics10030106 Article: Effects of Temperature and Mounting Configuration on the Dynamic Parameters Identification of Industrial Robots Andrea Raviola, Roberto Guida, Andrea De Martin, Stefano Pastorelli, Stefano Mauro and Massimo Sorli Robotics 2021, 10(3), 83; doi:10.3390/robotics10030083 Article: The WL_PCR: A Planning for Ground-to-Pole Transition of Wheeled-Legged Pole-Climbing Robots Yankai Wang, Qiaoling Du, Tianhe Zhang and Chengze Xue Robotics 2021, 10(3), 96; doi:10.3390/robotics10030096 Article: Kinematic Synthesis and Analysis of the RoboMech Class Parallel Manipulator with Two Grippers Zhumadil Baigunchekov, Med Amine Laribi, Azamat Mustafa and Abzal Kassinov Robotics 2021, 10(3), 99; doi:10.3390/robotics10030099 *Agricultural and Field Robotics* Article: A Case Study on Improving the Software Dependability of a ROS Path Planner for Steep Slope Vineyards Luís Carlos Santos, André Santos, Filipe Neves Santos and António Valente Robotics 2021, 10(3), 103; doi:10.3390/robotics10030103 *Industrial Robots & Automation* Article: Robot-Assisted Glovebox Teleoperation for Nuclear Industry Ozan Tokatli, Pragna Das, Radhika Nath, Luigi Pangione, Alessandro Altobelli, Guy Burroughes, Emil T. Jonasson, Matthew F. Turner and Robert Skilton Robotics 2021, 10(3), 85; doi:10.3390/robotics10030085 *Medical Robotics and Service Robotics* Article: Multidirectional Overground Robotic Training Leads to Improvements in Balance in Older Adults Lara A. Thompson, Mehdi Badache, Joao Augusto Renno Brusamolin, Marzieh Savadkoohi, Jelani Guise, Gabriel Velluto de Paiva, Pius Suh, Pablo Sanchez Guerrero and Devdas Shetty Robotics 2021, 10(3), 101; doi:10.3390/robotics10030101 *Intelligent Robots and Mechatronics* Review: Reinforcement Learning for Pick and Place Operations in Robotics: A Survey Andrew Lobbezoo, Yanjun Qian and Hyock-Ju Kwon Robotics 2021, 10(3), 105; doi:10.3390/robotics10030105 *Sensors and Control in Robotics* Review: Trends in the Control of Hexapod Robots: A Survey Joana Coelho, Fernando Ribeiro, Bruno Dias, Gil Lopes and Paulo Flores Robotics 2021, 10(3), 100; doi:10.3390/robotics10030100 ... *Special Issues Open for Submissions* Resilient Robotic Systems (Deadline: 15 October 2021) Kinematics and Robot Design IV, KaRD2021 (Deadline: 15 October 2021) Industrial Robotics in Industry 4.0 (Deadline: 31 October 2021) Robots for Health and Elderly Care (Deadline: 31 October 2021) Robotics and AI (Deadline: 15 November 2021) To access the full list of *Special Issues*, please click here https://www.mdpi.com/journal/robotics/special_issues *Upcoming Partner Conferences* 2nd International Conference on Robotics, Intelligent Automation and Control Technologies (RIACT 2021) (virtual conference, 23–25 September 2021) The 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021) (Online, 27 September 2021) 19th International Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS 21) (Salamanca, Spain, 6–8 October 2021) The 4th International Conference on Intelligent Technologies and Applications (INTAP 2021) (Grimstad, Norway, 11–13 October 2021) The 6th International Conference on Data Processing and Robotics (ICDPR 2022) (Sapporo, Japan, 6–8 January 2022) To access all conferences, please click here https://www.mdpi.com/journal/robotics/events#panel-partner-conferences MDPI Postfach, CH-4020 Basel, Switzerland Office: St. Alban-Anlage 66, CH-4052 Basel, Switzerland Tel. +41 61 683 77 34 Fax +41 61 302 89 18 www.mdpi.com LinkedIn https://www.linkedin.com/in/robotics-mdpi-319297154/detail/recent-activity/ Twitter @RoboticsMDPI

1 0

Machine Learning specialist (permanent) - scientific software, SCM, Amsterdam
by Stan Van Gisbergen 21 Sep '21

21 Sep '21

We’re looking for a scientific software developer with Machine Learning (ML) expertise (MSc or PhD in ML). Together with our current mathematics and Machine Learning developers, you will work on developing new functionality where state-of-the-art ML techniques are applied to problems in computational chemistry. https://www.scm.com/news/job-opening-software-developer-machine-learning-in… Dr. S.J.A. van Gisbergen Directeur Software for Chemistry & Materials B.V. De Boelelaan 1083 1081 HV Amsterdam, The Netherlands E-mail: vangisbergen(a)scm.com http://www.scm.com

2 1

Neuromorphic Computing Netherlands (NCN2021) Workshop - 24-09-2021
by Lanillos Pradas, P.L. (Pablo) 15 Sep '21

15 Sep '21

NEUROMORPHIC COMPUTING NETHERLANDS (NCN2021) https://www.cwi.nl/research/groups/machine-learning/events/workshop-on-neur… We kindly invite you to the Neuromorphic Computing Netherlands (NCN2021) Workshop (hybrid). Neuromorphic Computing is rapidly emerging as the principle paradigm for EdgeAI. In this workshop, we aim to bring together researchers and practitioners from algorithmic, architectural and application domains in the Netherlands. When: 24-09-2021 from 12:50 to 17:00 (Europe/Amsterdam / UTC200) Where: CWI Amsterdam and online (hybrid) Contact: Sander.Bohte(a)cwi.nl<mailto:Sander.Bohte@cwi.nl> (Please send an email with your name and affiliation if you would like to attend virtually so we can track the participants) Zoom link: https://cwi-nl.zoom.us/j/86293297870?pwd=aWR0alphM1A0MHFXNWUySFRVanI4QT09 Program: 12:50h Opening 13:00h Keynote by Elisabetta Chicca (RUG) 13:50h break 14:00h Federico Corradi (IMEC). Spike-based neuromorphic computing for the edge 14:25h Jesse Hagenaars (TUD). Self-supervised learning of event-based optical flow with spiking neural networks 14:50h Mahyar Shahsavari (RU). A Reconfigurable Neuromorphic Design and the SPIKERFERENCE Project 15:15h posters / break 16:00h Bojian Yin (CWI). Efficient and Effective Spiking Recurrent Neural Networks 16:25h Thomas Tiotto (RUG) 16:50h drinks Organizers: Sander Bothe (CWI) Federico Corradi (IMEC) Pablo Lanillos (Donders, RU) This workshop is organized as part of the Efficient Deep Learning NWO-TTW Perspectief programme. More info: https://www.cwi.nl/research/groups/machine-learning/events/workshop-on-neur… --- Dr. Pablo Lanillos www.therobotdecision.com Tenured assistant professor in Cognitive Artificial Intelligence | AI Robotics Lab ELLIS Nijmegen Unit Donders Institute for Brain, Cognition and Behaviour, the Netherlands p.lanillos @ donders.ru.nl

1 0

[jobs] Postdoc@TUDelft in quadrupedal locomotion for efficient exploration of natural environments
by Jens Kober - 3ME 14 Sep '21

14 Sep '21

Dear Robotics Enthusiasts, are you looking for a postdoc opportunity where you can combine quadrupedal locomotion, articulated soft robots, machine learning, control theory, and many other things? Then check out this position that Cosimo Della Santina and myself (Jens Kober) have opened at TU Delft - Mechanical Engineering (Cognitive Robotics department), as part of the EU-H2020 project Natural Intelligence (https://www.nih2020.eu/<https://urldefense.proofpoint.com/v2/url?u=https-3A__www.nih2020.eu_&d=DwMF…>). This is a two year position, salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities (salary indication: € 3.491 - € 4.402). You can find more information at the following links · Call: https://www.academictransfer.com/en/302914/postdoc-efficient-quadrupedal-lo…<https://urldefense.proofpoint.com/v2/url?u=https-3A__www.academictransfer.c…> · Cosimo's website: https://cosimodellasantina.eu/<https://urldefense.proofpoint.com/v2/url?u=https-3A__cosimodellasantina.eu_…> · Jens's website: http://www.jenskober.de/<https://urldefense.proofpoint.com/v2/url?u=http-3A__www.jenskober.de_&d=DwM…> Tackling the challenging goals discussed in the Job Description requires a unique combination of algorithmic/theoretical and experimental skills. Research experience in at least one of the following fields is mandatory: Robot locomotion, Reinforcement learning, Deep Learning, Articulated Soft/Flexible Robots. A basic understanding of the others is greatly appreciated, as well as experience with real robot applications, managing younger researchers, and good programming skills. Please, do not hesitate to reach out to us in case you have any questions about the position! If you are interested, please read the application procedure carefully (bottom paragraph in the call). You can apply online. We will not process applications sent by email and/or post. ---------------- Some quick facts about TU Delft and CoR: Delft University of Technology (TUD) is the oldest and largest technical university in the Netherlands, with over 23,000 students and 3,300 scientific staff. Its high quality teaching standards and experimental facilities are renowned, placing it among the 6th top universities in Europe and 15th in the world in the Engineering and Technology fields, and 2nd top universities in Europe and 5th in the world in the Mechanical, Aeronautical, and Manufacturing Engineer (QS Ranking 2020). It is a member of the IDEA League, a strategic alliance of five of Europe's leading universities of technology. TU Delft comprises eight faculties: among these is the 3mE Faculty (Mechanical, Maritime and Materials Engineering), which hosts the Cognitive Robotics (CoR) department. In 2012, TU established the Delft Robotics Institute, in which CoR takes part. The Institute unites all the university's research in the field of robotics, bringing together more than 150 scientific staff from six TU Delft faculties. The aim is to get robots and humans to work together effectively in unstructured environments, and real-world settings. Both the 'hard' robotics disciplines (mechatronics, embedded systems, control and AI) and the 'soft' ones (human-machine interaction, user interaction, architecture, ethics and design) are represented. A part of the Institute is the TU Delft Digital Innovation Hub called RoboValley (https://robovalley.com<https://urldefense.proofpoint.com/v2/url?u=https-3A__robovalley.com_&d=DwMF…>) established to foster collaboration with companies and technology transfer.

1 0

CWI Machine Learning seminar: Johanna Ziegel, Fri 10 Sep, 14:00, L016 and zoom
by Wouter Koolen-Wijkstra 09 Sep '21

09 Sep '21

Dear all, This is the zoom link for the CWI Machine Learning Seminar tomorrow afternoon: https://cwi-nl.zoom.us/j/83113639352?pwd=U2NtVC9kWmJkY3NOOGdTMUVSVHorUT09 [Meeting ID: 831 1363 9352 Passcode: 551343] Speaker: Johanna Ziegel (University of Bern) Title: Valid sequential inference on probability forecast performance Date: Friday 10 September, 14:00 Location: CWI L016 and on Zoom (link above) This seminar will be held live at reduced capacity, and will be live-streamed on zoom for remote attendance. Please find the abstract below. Hope to see you then. Best wishes, Wouter Details: https://portals.project.cwi.nl/ml-reading-group/events/valid-sequential-inf… ============ Valid sequential inference on probability forecast performance Johanna Ziegel (University of Bern) Probability forecasts for binary events play a central role in many applications. Their quality is commonly assessed with proper scoring rules, which assign forecasts a numerical score such that a correct forecast achieves a minimal expected score. In this paper, we construct e-values for testing the statistical significance of score differences of competing forecasts in sequential settings. E-values have been proposed as an alternative to p-values for hypothesis testing, and they can easily be transformed into conservative p-values by taking the multiplicative inverse. The e-values proposed in this article are valid in finite samples without any assumptions on the data generating processes. They also allow optional stopping, so a forecast user may decide to interrupt evaluation taking into account the available data at any time and still draw statistically valid inference, which is generally not true for classical p-value based tests. In a case study on postprocessing of precipitation forecasts, state-of-the-art forecasts dominance tests and e-values lead to the same conclusions.

1 0

2024

2023

2022

2021

2020