The paper “Prescriptive SVD-Inspired Attention via Spectral Energy Retention” has been published in Transactions on… Continue Reading TMLR 2026: prescriptive SVD-inspired attention via spectral energy retention
The article “Towards Heritage World Models” extends the discussion around ARGUS, PANOPTES, semantic digital twins… Continue Reading Towards Heritage World Models: from digital twins to predictive heritage systems
“Representation-Diverse Self-Supervision for Cross-Domain Bioacoustic Learning in Low-Resource Settings” was presented at ICASSP 2026. The… Continue Reading ICASSP 2026: representation-diverse self-supervision for bioacoustic learning
The paper “Process-Tensor Tomography of SGD: Measuring Non-Markovian Memory via Back-Flow of Distinguishability” was published… Continue Reading AISTATS 2026: process-tensor tomography of SGD and training memory
“Two-Stage Angular Alignment for Positive-Unlabeled Learning” proposes a geometric weak-supervision method for settings where only… Continue Reading ICPRAM 2026: two-stage angular alignment for positive-unlabeled learning
“Interpretable Vision Transformers in Image Classification via SVDA” extends the group’s SVD-inspired attention work to… Continue Reading IEEE Access 2026: interpretable Vision Transformers via SVDA
The paper “Angular Regularization for Positive-Unlabeled Learning on the Hypersphere” received TMLR certification and was… Continue Reading TMLR: angular regularization for positive-unlabeled learning
“Krikri: Advancing Open Large Language Models for Greek” was published in Findings of EMNLP 2025… Continue Reading EMNLP Findings 2025: Krikri, an open large language model for Greek
The article “Towards Evolving Actor-Network Ontologies: Enabling Reflexive Digital Twins for Cultural Heritage” advances the… Continue Reading Reflexive digital twins for cultural heritage
The paper “AHMP: Agile Humanoid Motion Planning with Contact Sequence Discovery” was presented at IEEE-RAS… Continue Reading Humanoids 2025: agile humanoid motion planning with contact sequence discovery
