#### Sponsors

Keynote Presentations:

K1: Molecularly Interpretable Machine Learning for Computational Pathology, Axel Mosig, Ruhr-Universität Bochum

K2: Inner Product in Image Feature Learning, Takumi Kobayashi, University of Tsukuba https://drive.google.com/file/d/1ePn-QnPMdYWeqqDQM75L4MupRo4Kc80E/view?usp=sharing

K3: Agent-based social simulation - modelling human behaviours, Julie Dugdale and Carole Adam, University of Grenoble-Alpes https://drive.google.com/file/d/1daGXm5vZf0tjrJ1HFfNCt4SHpKClwWQn/view?usp=sharing

K4: Deep Neuroevolution, Tobias Glasmachers, Ruhr-Universität Bochum https://drive.google.com/file/d/1_doL__-K8zgnmXm3gVwdxbf2EU623Gt2/view?usp=sharing

K5: Toward GPU–FPGA Accelerated Computing, Ryohei Kobayashi, University of Tsukuba https://drive.google.com/file/d/1iKzqpQGfToChzltaUAnG_jpzrLTQdDHa/view?usp=sharing

K6: Sparse Deep Learning, Johannes Lederer, Ruhr-Universität Bochum https://drive.google.com/file/d/1Y5zbiaWB25CIFtS-cumulyKSvdJk6J62/view?usp=sharing

Oral Sessions Presentations:

S1: Robot-assisted voluntary rehabilitation training for patients with shoulder elevation dysfunction from cervical origin, Margaux Noémie Lafitte, University of Tsukuba
https://drive.google.com/file/d/13OEF3ee3q-8McyVrgeBmci7iZTDC3UPh/view?usp=sharing

S2: Tele-operated Probe Controller to Assist Doctor Performing Prone Position Echocardiography, Muhammad Wildan Gifari, University of Tsukuba

S3: Weakly-supervised learning for (label-free) Computational Pathology, Joshua Butke, Ruhr-Universität Bochum

S4: Direct identification of defects using Kikuchi patterns – A machine learning approach, Ashish Chauniyal, Ruhr-Universität Bochum

S5: Artistic Intent and the Human Gaze: Using VR to understand how we view images, Nicholas Schwier, University of Tsukuba
https://drive.google.com/file/d/1TnqpN2n1GXj0eISGs5kHO-oXvZNJvEBk/view?usp=sharing

S6: Slow Feature Subspace for Action Recognition, Suzana Rita Alves Beleza, University of Tsukuba https://drive.google.com/file/d/1DbwbRytH1yVhJ0ou8OKsZn3Hwwr22HL4/view?usp=sharing

S7: Self-supervised learning for person re-identification. Insight on unsupervised lifelong learning for robotics vision, Baptiste Wagner, University of Grenoble-Alpes https://drive.google.com/file/d/11DKKUoluFfD0yhY7h3mesrFybVKWva40/view?usp=sharing

S8: Computational imaging: A practical application for image spectrometers, Daniele Picone, University of Grenoble-Alpes
https://drive.google.com/file/d/1fGZCUPcG09qS4UEocOB7_a0uEj2Ip01m/view?usp=sharing

S9: Epidemic Simulation on Small Community Using an Agent-Based Model Generated From OpenStreetMap Data, Abe Mitsu Teru, University of Tsukuba https://drive.google.com/file/d/1zq2bSc61h34SYrpMyVP8b_hSfZH_7G9V/view?usp=sharing

S10: Hype in funding applications, Neil Millar, University of Tsukuba https://drive.google.com/file/d/1fW9y9PwyEOlUwnNhCgvHDERc2Bfc5kw1/view?usp=sharing

S11: Ensemble Learning for Cluster Number Detection Based on Shared Nearest Neighbor Graph and Spectral Clustering, ZHANG WEIHANG, University of Tsukuba

S12: A Novel Large Scale Spectral Clustering , Li Hongmin, University of Tsukuba

S13: On the difference between Bayesian neural networks at finite and infinite width, Mariia Vladimirov, University of Grenoble-Alpes https://drive.google.com/file/d/1dRb3OBgusHrmijEUFjCp5hS-dseU110q/view?usp=sharing

S14: Sparsifying Convolutional Layers with Dual-Tree Wavelet Packets, Hubert Leterme, University of Grenoble-Alpes
https://drive.google.com/file/d/1gU5JFW4LumoUmylbzhcyKXyWlEHoDsP0/view?usp=sharing

S15: A Federated Learning Aggregation Algorithm for Pervasive Computing: Evaluation and Comparison, Sannara EK, University of Grenoble-Alpes https://drive.google.com/file/d/1NS9hzUI5Sbpjzh33x4jw0v92766A8N7_/view?usp=sharing

S16: Multi-view federated learning with data collaboration, YANG YITAO, University of Tsukuba

S17: Deep Unfolding of Iteratively Reweighted RPCA for Wireless Sensing, Udaya Sampath K.P. Miriya Thanthrige, Ruhr-Universität Bochum https://drive.google.com/file/d/1UkCL9adCFjNcubKV4BuSTcWL07X16ls1/view?usp=sharing

S18: Next Generation Intelligent Spaces, Angan Mitra, University of Grenoble-Alpes https://drive.google.com/file/d/1IOhrEWZIX8TNakJLlFBZyvTXNalIyGy_/view?usp=sharing

S19: Classifying Urban Sounds with Subspaces of Deep Neural Network Features, Maha Mahyub, University of Tsukuba

S20: Teleoperated Probe Controller to Assist Doctor in Performing Prone-Position Echocardiography https://drive.google.com/file/d/1IPQr5TZDkjGnH3vH6IWJDNtzet398URe/view?usp=sharing