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DAY 1 - December 15th
Japan Time Paris Time Section A Section B
16:00 - 16:10 08:00 - 08:10 Opening - Keynote Room
16:10 - 16:40 08:10 - 08:40

Molecularly Interpretable Machine Learning for Computational Pathology
Axel Mosig

Keynote Room
16:40 - 16:45 08:40 - 08:45 Coffee break
16:45 - 17:05 08:45 - 09:05 Robot-assisted voluntary rehabilitation training for patients with shoulder elevation dysfunction from cervical origin
Margaux Noémie Lafitte
Presentation Room A 		Weakly-supervised learning for (label-free) Computational Pathology
Joshua Butke
Presentation Room B
17:05 - 17:25 09:05 - 09:25



Presentation Room A 		Direct identification of defects using Kikuchi patterns – A machine learning approach
Ashish Chauniyal
Presentation Room B
17:25 - 17:35 09:25 - 09:35 Coffee break
17:35 - 18:05 09:35 - 10:05 Inner Product in Image Feature Learning
Takumi Kobayashi
Keynote Room
18:05 - 18:10 10:05 - 10:10 Coffee break
18:10 - 18:30 10:10 - 10:30

Artistic Intent and the Human Gaze: Using VR to understand how we view images
Nicholas Schwier
Presentation Room A

 Self-supervised learning for person re-identification. Insigth on unsupervised lifelong learning for robotics vision
Baptiste Wagner
Presentation Room B
18:30 - 18:50 10:30 - 10:50

Slow Feature Subspace for Action Recognition
Suzana Rita Alves Beleza
Presentation Room A

Computational imaging: A practical application for image spectrometers
Daniele Picone
Presentation Room B

18:50 - 19:00 10:50 - 11:00 Coffee break
19:00 - 19:30 11:00 - 11:30 Agent-based social simulation - modelling human behaviours
Julie Dugdale & Carole Adam
Keynote Room
19:35 - 19:55 11:35 - 11:55

Epidemic Simulation on Small Community Using an Agent-Based Model Generated From OpenStreetMap Data
Abe Mitsu Teru
Presentation Room A

Hype in funding applications
Neil Millar
Presentation Room B

19:55 - 21:00 11:55 - 13:00 Poster session
Poster Room


DAY 2 - December 16th
Japan Time Paris Time Section A Section B
16:00 - 16:30 08:00 - 08:30 Deep Neuroevolution
Tobias Glasmachers
Keynote Room
16:30 - 16:35 08:30 - 08:35 Coffee break
16:35 - 16:55 08:35 - 08:55 Ensemble Learning for Cluster Number Detection Based on Shared Nearest Neighbor Graph and Spectral Clustering
Zhang Weihang
Presentation Room A 		On the difference between Bayesian neural networks at finite and infinite width
Mariia Vladimirova
Presentation Room B
16:55 - 17:15 08:55 - 09:15 A novel large scale spectral clustering
Li Hongmin
Presentation Room A 		Sparsifying Convolutional Layers with Dual-Tree Wavelet Packets
Hubert Leterme
Presentation Room B
17:15 - 17:25 09:15 - 09:25 Coffee break
17:25 - 17:55 09:25 - 09:55 Toward GPU–FPGA Accelerated Computing
Ryohei Kobayashi
Keynote Room
17:55 - 18:00 09:55 - 10:00 Coffee break
18:00 - 18:20 10:00 - 10:20

A Federated Learning Aggregation Algorithm for Pervasive Computing: Evaluation and Comparison
Sannara EK
Presentation Room A

 Deep Unfolding of Iteratively Reweighted RPCA for Wireless Sensing
Udaya Sampath K.P. Miriya Thanthrige

Presentation Room B
18:20 - 18:40 10:20 - 10:40

Multi-view federated learning with data collaboration
YANG YITAO
Presentation Room A

Next Generation Intelligent Spaces
Angan Mitra
Presentation Room B

18:40 - 18:50 10:40 - 10:50 Coffee break
18:50 - 19:20 10:50 - 11:20 Sparse Deep Learning
Johannes Lederer
Keynote Room
19:20 - 19:25 11:20 - 11:25 Coffee break
19:25 - 11:25 11:25 - 11:45

Classifying Urban Sounds with Subspaces of Deep Neural Network Features
Maha Mahyub
Presentation Room A

Teleoperated Probe Controller to Assist Doctor in Performing Prone-Position Echocardiography
Muhammad Wildan Gifari
Presentation Room B

19:45 - 20:50 11:45 - 12:50 Poster session
Poster Room