NLDL 2024 - program
Main Conference
Venue: Auditorium 1 (Teorifagbygget Hus 1, Floor U1) at the UiT Campus
Monday 8.01.2024
Tuesday 9.01.2024
Wednesday 10.01.2024
Thursday 11.01.2024
Friday 12.01.2024
Poster session 1 (Tuesday 14:00-15:30)
#1 Clifford Group Equivariant Neural Network Layers for Protein Structure Prediction, Alberto Pepe, Sven Buchholz, Joan Lasenby
#2 A Hybrid Spiking-Convolutional Neural Network Approach for Advancing Machine Learning, Models, Sanaullah, Kaushik Roy, Ulrich Rückert, Thorsten Jungeblut
#3 Neural Langevin Dynamics: Towards Interpretable Neural Stochastic Differential Equations, Simon Martinus Koop, Mark A Peletier, Jacobus Willem Portegies, Vlado Menkovski
#4 Large Neural Networks at a Fraction, Aritra Mukhopadhyay, Adhilsha A, Subhankar Mishra
#5 An Inductive Bias for Emergent Communication in a Continuous Setting, John Isak Fjellvang Villanger, Troels Arnfred Bojesen
#6 Deep Reinforcement Learning for Goal-Based Investing Under Regime-Switching, Tessa Bauman, Bruno Gasperov, Sven Goluža, Zvonko Kostanjcar
#7 Guiding drones by information gain, Alouette van Hove, Kristoffer Aalstad, Norbert Pirk
#8 Scheduling Conditional Task Graphs with Deep Reinforcement Learning, Anton Debner, Maximilian Krahn, Vesa Hirvisalo
#9 Deep Learning Overparameterization: the Shallow Fallacy, Pierre Baldi
#10 Understanding Neural ODE prediction decision using SHAP, Phuong Dinh, Deddy Jobson, Takashi Sano, Hirotada Honda, Shugo Nakamura
#11 Confident Naturalness Explanation: A Framework to Explain and Assess Patterns Forming Naturalness in Fennoscandia with Confidence, Ahmed Emam, Mohamed Mohamed Ibrahim, Ribana Roscher
#12 Expressivity of Spiking Neural Networks, Manjot Singh, Adalbert Fono, Gitta Kutyniok
#13 Neural (Tangent Kernel) Collapse, Mariia Seleznova, Dana Weitzner, Raja Giryes, Gitta Kutyniok, Hung-Hsu Chou
#14 Beyond Siamese KPConv: Early Encoding and Less Supervision, Iris de Gélis, Sébastien Lefèvre, Thomas Corpetti
#15 Revolutionary Al-Powered Skin Disease Diagnosis, Elif Ozturk B (moved to Wednesday)
#16 Towards Creating Longer Genetic Sequences with GANs: Generation in Principal Component Space, Antoine Szatkownik, Burak Yelmen, Guillaume Charpiat, Cyril Furtlehner, Flora Jay
#17 Encoding Binary Events from Continuous Time Series in Rooted Trees using Contrastive Learning, Tobias Engelhardt Rasmussen, Siv Sørensen
#18 An deep learning pipeline for automatic microfossil analysis and classification, Iver Martinsen, David Wade, Benjamin Ricaud, Fred Godtliebsen
#19 Is Diverse and Inclusive AI Trapped in the Gap between Reality and Algorithmizability?, Carina Geldhauser, Hermann Diebel-Fischer
Poster session 2 (Wednesday 13:30-15:00)
#1 Local Gamma Augmentation for Ischemic Stroke Lesion Segmentation on MRI, Jon Middleton, Marko Bauer, Kaining Sheng, Jacob Johansen, Mathias Perslev, Silvia Ingala, Mads Nielsen, Akshay Pai
#2 A Dual Convolutional Neural Network Pipeline for Melanoma Diagnostics and Prognostics, Marie Bø-Sande, Edvin Benjaminsen, Neel Kanwal, Saul Fuster, Helga Hardardottir, Ingrid Lundal, Emilius A.M. Janssen, Kjersti Engan
#3 Comparative Analysis of Binary and Multiclass Activity Recognition in High-Quality Newborn Resuscitation Videos, Jorge García-Torres, Øyvind Meinich-Bache, Sara Brunner, Siren Rettedal, Amalie Kibsgaard, Kjersti Engan
#4 Beyond Accuracy: Fairness, Scalability, and Uncertainty Considerations in Facial Emotion Recognition, Laurits Fromberg, Troels Nielsen, Flavia Dalia Frumosu, Line H Clemmensen
#5 MDD-UNet: Domain Adaptation for Medical Image Segmentation with Theoretical Guarantees, a Proof of Concept, Asbjørn Munk, Mads Nielsen
#6 Heterogeneous Learning for Brain Lesion Segmentation, Detection, and Classification, Sebastian Nørgaard Llambias, Mads Nielsen, Mostafa Mehdipour Ghazi
#7 Effects of Foreground Augmentations in Synthetic Training Data on the Use of UAVs for Weed Detection, Simon Hallösta, Mats Ingemar Pettersson, Mattias Dahl
#8 Lidar-based Norwegian Tree Species Detection using Deep Learning, Martijn Vermeer, Jacob Alexander Hay, David Völgyes, Zsofia Koma, Johannes Breidenbach, Daniele Fantin
#9 A Self-Supervised Method for Recovering Clean Images from Noisy, sub-sampled training examples, Charles Millard
#10 A Multiscale Object Detection in Remote Sensing Images based on Human Visual Attention Mechanism, Bing He, Weihua Dong, Huiping Liu, Tianyu Yang, Yilong Liu
#11 Characterizing Gait Disturbances in Ataxia using Markerless Motion Capturing and Machine Learning on Video Data, Philipp Wegner
#12 Intermodal Image Representations, Elisabeth Wetzer, Johan Öfverstedt
#13 Automatic Segmentation of Ice Floes for Floe Size Distribution, Louisa van Zeeland, Martin Samuel James Rogers, Nick Hughes, Andrew Fleming, Ben Richard Evans, Oliver Strickson, Scott Hosking
#14 Semantic Segmentation of City Road Elements from Point Cloud based on Semi-Supervised Graph Convolution, Yiping Chen, Ting Han, Jun Chen, Hongchao Fan
#15 Synthetic Data-Driven Benchmarking of Integrative Approaches for Multi-Modal Omics Analysis in Personalized Medicine, Nicolas Derus, Daniele Dall’Olio, Claudia Sala, Gastone Castellani
#16 Leveraging Client-side Computation for Biomedical Machine Learning Inference with Open Neural Network Exchange, Carlos Vega, Beatriz Garcia Santa Cruz, Frank Hertel, Venkata Satagopam
#17 Sub-quadratic Link Prediction via Bootstrapping, Mariana Vargas Vieyra, Pierre Menard
#18 Leveraging Topological Maps in Deep Reinforcement Learning for Multi-Object Navigation, Simon Hakenes, Tobias Glasmachers
#19 Revolutionary Al-Powered Skin Disease Diagnosis, Elif Ozturk B
Poster session 3 (Thursday 14:10-15:30)
#1 Efficient Node Selection in Private Personalized Decentralized Learning, Edvin Listo Zec, Johan Östman, Olof Mogren, Daniel Gillblad
#2 Is Diverse and Inclusive AI Trapped in the Gap between Reality and Algorithmizability?, Carina Geldhauser, Hermann Diebel-Fischer (moved to Tuesday)