DeepLearn 2023 Summer
10th International Gran Canaria School
on Deep Learning
Las Palmas de Gran Canaria, Spain · July 17-21, 2023
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  • Poster DeepLearn 2023 Summer
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  • Home
  • Schedule
  • Lecturers
  • Sponsoring
  • News
  • Info
    • Accommodation
    • Code of conduct
    • Visa
    • Testimonials
KEYNOTES

Keynote speakers

Alex Voznyy

Alex Voznyy

University of Toronto

Comparison of Graph Neural Network Architectures for Predicting the Electronic Structure of Molecules and Solids

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aidong-zhang

‪Aidong Zhang

University of Virginia

Concept-Based Explainable Deep Learning Models

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SPEAKERS

Professors and courses

eneko-agirre

Eneko Agirre

University of the Basque Country

[introductory/intermediate] Natural Language Processing in the Large Language Model Era

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Pierre Baldi

Pierre Baldi

University of California Irvine

[intermediate/advanced] Deep Learning in Science

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Natália Cordeiro

Natália Cordeiro

University of Porto

[introductory/intermediate] Multi-Tasking Machine Learning in Drug and Materials Design

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Daniel Cremers

Daniel Cremers

Technical University of Munich

[intermediate] Deep Networks for 3D Computer Vision

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Stefano Giagu

Stefano Giagu

Sapienza University of Rome

[introductory/intermediate] Quantum Machine Learning on Parameterized Quantum Circuits

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Georgios Giannakis

Georgios Giannakis

University of Minnesota

[intermediate/advanced] Learning from Unreliable Labels via Crowdsourcing

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tae-kyun-kim

Tae-Kyun Kim

Korea Advanced Institute of Science and Technology

[intermediate/advanced] Deep 3D Pose Estimation

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Marcus Liwicki

Marcus Liwicki

Luleå University of Technology

[intermediate/advanced] Methods for Learning with Few Data

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Chen Change Loy

Chen Change Loy

Nanyang Technological University

[introductory/intermediate] Image and Video Restoration

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Ivan Oseledets

Ivan Oseledets

Skolkovo Institute of Science and Technology

[introductory/intermediate] Tensor Methods for Approximation of High-Dimensional Arrays and Their Applications in Machine Learning

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Deepak Pathak

Deepak Pathak

Carnegie Mellon University

[intermediate/advanced] Continually Improving Agents for Generalization in the Wild

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Kaushik Roy

Kaushik Roy

Purdue University

[introductory/advanced] Neuromorphic Computing

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Björn Schuller

Björn Schuller

Imperial College London

[introductory/intermediate] Deep Multimedia Processing

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Amos Storkey

Amos Storkey

University of Edinburgh

[intermediate] Meta-Learning and Contrastive Learning for Robust Representations

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Ponnuthurai N. Suganthan

Ponnuthurai N. Suganthan

Qatar University

[introductory/intermediate] Randomization-Based Deep and Shallow Learning Algorithms and Architectures

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Jiliang Tang

Jiliang Tang

Michigan State University

[introductory/advanced] Deep Learning on Graphs: Methods, Advances and Applications

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savannah-thais

Savannah Thais

Columbia University

[intermediate] Applications of Graph Neural Networks: Physical and Societal Systems

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Li Xiong

Li Xiong

Emory University

[introductory] Deep Learning and Privacy Enhancing Technology

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Lihi Zelnik-Manor

Lihi Zelnik-Manor

Technion - Israel Institute of Technology

[introductory] Introduction to Computer Vision and the Ethical Questions It Raises

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DeepLearn 2023 Summer

CO-ORGANIZERS

Universidad de Las Palmas de Gran Canaria

Universitat Rovira i Virgili

Institute for Research Development, Training and Advice – IRDTA, Brussels/London

Active links
  • BigDat 2023 Summer – 7th International School on Big Data
  • DeepLearn 2023 Spring – 9th International School on Deep Learning
Past links
  • DeepLearn 2023 Winter
  • DeepLearn 2022 Autumn
  • DeepLearn 2022 Summer
  • DeepLearn 2022 Spring
  • DeepLearn 2021 Summer
  • DeepLearn 2019
  • DeepLearn 2018
  • DeepLearn 2017
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