Systematic Biology
Phylo2Vec: A Vector Representation for Binary Trees
Matthew J. Penn, Neil Scheidwasser, Mark P. Khurana, David A. Duchêne, Christl A. Donnelly, Samir Bhatt
CHI '25: Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems
A Concept at Work: A Review of Motivations, Operationalizations, and Conclusions in VR Research about Presence
Cleo Xiao, Difeng Yu, Kasper Hornbæk, Joanna Bergström
CHI '25: Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems
Tendon Vibration for Creating Movement Illusions in Virtual Reality
Mantas Cibulskis, Difeng Yu, Erik S. Mortensen, Waseem Hassan, Mark S. Christensen, Joanna Bergström
Nature Scientific Reports
Ultrasound can deliver chemical stimulants to the skin and modulate their perception
Tor-Salve Dalsgaard, Arpit Bhatia, Lei Gao, Ryuji Hirayama, Sriram Subramanian, Joanna Bergström, Kasper Hornbæk
CHI '25: Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems
Deriving Selection Techniques for GUIs based on the Multiple Process Model
Difeng Yu, James Roberts, Kasper Hornbæk, Joanna Bergström
CHIIR '25: Proceedings of the 2025 ACM SIGIR Conference on Human Information Interaction and Retrieval
From Queries to Candidates: Exploring Search and Source Interaction Behavior of Recruiters
Toine Bogers, Mesut Kaya, Maria Gäde
Bulletin of Mathematical Biology
Bayesian Inference of Phylogenetic Distances: Revisiting the Eigenvalue Approach
Matthew J. Penn, Neil Scheidwasser, Christl A. Donnelly, David A. Duchêne, Samir Bhatt
Exploring Bidirectional Bounds for Minimax-Training of Energy-Based Models
Cong Geng, Jia Wang, Li Chen, Zhiyong Gao, Jes Frellsen, Søren Hauberg
CHI '25: Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems
CreepyCoCreator? Investigating AI Representation Modes for 3D Object Co-Creation in Virtual Reality
Julian Rasch, Julia Töws, Teresa Hirzle, Florian Müller, Martin Schmitz
ICLR 2025
SweetBERT: exploring BERT-based models for IUPAC glycan nomenclature modeling
Irene Rubia-Rodríguez, Henrik Nielsen, Garry P. Gippert, Kristian Barrett, Bernard Henrissat, Ole Winther
Current Opinion in Structural Biology
Foundation models of protein sequences: A brief overview
Andreas Bjerregaard, Peter M. Groth, Søren Hauberg, Anders Krogh, Wouter Boomsma
ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
How Redundant Is the Transformer Stack in Speech Representation Models?
Teresa Dorszewski, Albert K. Jacobsen, Lenka Tětková, Lars K. Hansen
Verifying Machine Unlearning with Explainable AI
Àlex P. Vidal, Anders S. Johansen, Mohammad N. S. Jahromi, Sergio Escalera, Kamal Nasrollahi, Thomas B. Moeslund
The Conditional Cauchy-Schwarz Divergence with Applications to Time-Series Data and Sequential Decision Making
Shujian Yu, Hongming Li, Sigurd Løkse, Robert Jenssen, José C. Príncipe
Association for Computational Linguistics
SynDARin: Synthesising Datasets for Automated Reasoning in Low-Resource Languages
Gayane Ghazaryan, Erik Arakelyan, Pasquale Minervini, Isabelle Augenstein
Proceedings of the AAAI Conference on Artificial Intelligence
REPEAT: Improving Uncertainty Estimation in Representation Learning Explainability
Kristoffer K. Wickstrøm, Thea Brüsch, Michael C. Kampffmeyer, Robert Jenssen
Proceedings of the 6th Northern Lights Deep Learning Conference (NLDL)
PePR: Performance Per Resource Unit as a Metric to Promote Small-scale Deep Learning
Raghavendra Selvan, Bob Pepin, Christian Igel, Gabrielle Samuel, Erik B. Dam
Proceedings of the AAAI Conference on Artificial Intelligence
InteDisUX: intepretation-guided discriminative user-centric explanation for time series
Hung V. Tran, Zichi Zhang, Tuan D. Pham, Ngoc P. Doan, Anh-Tuan Hoang, Peixin Li, Hans Vandierendonck, Ira Assent, Thai S. Mai
Proceedings of the 6th Northern Lights Deep Learning Conference (NLDL)
FreqRISE: Explaining time series using frequency masking
Thea Brüsch, Kristoffer K. Wickstrøm, Mikkel N. Schmidt, Tommy S. Alstrøm, Robert Jenssen
Association for Computational Linguistics
Evaluating Input Feature Explanations through a Unified Diagnostic Evaluation Framework
Jingyi Sun, Pepa Atanasova, Isabelle Augenstein
Bounding Boxes and Probabilistic Graphical Models
Mia Siemon, Thomas B. Moeslund, Barry Norton, Kamal Nasrollahi
Assessing the Efficacy of Classical and Deep Neuroimaging Biomarkers in Early Alzheimer’s Disease Diagnosis
Milla E. Nielsen, Mads Nielsen, Mostafa M. Ghazi
Transactions on Machine Learning Research (TMLR)
Prior and Posterior Networks: A Survey on Evidential Deep Learning Methods For Uncertainty Estimation
Dennis T. Ulmer, Christian Hardmeier, Jes Frellsen
MICCAI Workshop on Advancing Data Solutions 2024
AMAES: Augmented Masked Autoencoder Pretraining on Public Brain MRI Data for 3D-Native Segmentation
Asbjørn Munk, Jakob Ambsdorf, Sebastian Llambias, Mads Nielsen
ICLR 2024
An improved analysis of per-sample and per-update clipping in federated learning
Bo Li, Xiaowen Jiang, Mikkel N. Schmidt, Tommy S. Alstrøm, Sebastian U. Stich
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