5 papers · ranked by Valyu relevance
Minha Park, Shinwoo Kim, Seokhyun Moon, Hyeongwoo Kim + 2 more
Co-folding models accurately predict biomolecular complexes, but how their internal representations support joint structure prediction remains unclear. We analyze the Boltz-1 trunk by decomposing its pair representation into intra-chain and inter-chain blocks and applying ablation, layer-wise representation geometry…
Matteo Farina, Pietro Zamberlan, Arno Onken, Ulisse Ferrari
For datasets with thousands of neurons and images, vision transformers have proven successful at predicting neural responses to stimuli. However, they are expected to underperform in low-data regimes, where CNNs and Gaussian processes are considered more effective. We ask whether transformers can be made competitive…
Namasi G Sankar, Georgios Miliotis, Simon Caton
Genome assembly is important in infectious disease surveillance, antimicrobial resistance monitoring, and cancer genomics. The task of reconstructing full genomic sequences from fragmented reads, can be framed as a large scale combinatorial optimisation problem. Recent advances in quantum computing have introduced new…
Fabio Cumbo, Kabir Dhillon, M. Hassan Najafi, Sercan Aygun + 1 more
The exponential growth of genomic databases necessitates alignment-free methods for comparing genomes. While MinHash-based tools have revolutionized this field by efficiently estimating the Average Nucleotide Identity based on k-mer sets, they inherently discard structural genomic information. We introduce HyperSketch…
Pétur Kristófersson, Sigrún Þóra Sveinsdóttir, Sóley María Kristínardóttir, Stefnir Húni Kristjánsson + 1 more
Cardiovascular markers such as heart rate (HR), heart rate variability (HRV), and blood pressure (BP) are promising for low-intrusive monitoring of mental states relevant to safety-critical performance, yet evidence is mixed regarding which measures are most sensitive to cognitive workload, stress, and fatigue across…