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https://github.com/OluwadareLab/coiTAD GitHub - OluwadareLab/coiTAD: coiTAD: Topologically Associating Domains Detection based on Circular... coiTAD: Topologically Associating Domains Detection based on Circular Influence Features - GitHub - OluwadareLab/coiTAD: coiTAD: Topologically Associating... based on github topologically associating domains https://arxiv.org/abs/1110.4477 [1110.4477] Hierarchical information clustering by means of topologically embedded graphs Abstract page for arXiv paper 1110.4477: Hierarchical information clustering by means of topologically embedded graphs 1110 4477 hierarchical information clustering https://www.jsdelivr.com/package/npm/topologically-combine-reducers topologically-combine-reducers CDN by jsDelivr - A CDN for npm and GitHub A free, fast, and reliable CDN for topologically-combine-reducers. Combine and access other reducer state by their dependencies topologically combine reducers cdn https://www.royalholloway.ac.uk/research-and-education/departments-and-schools/physics/news-physics/2021-05-13-confining-sound-waves-in-superfluid-helium/ Superfluid helium-3 research helps assess the feasibility of topologically protected quantum... Research on mesoscopic superfluid helium-3 demonstrates the fragility of surface-bound states, an important step in the quest to identify and harness Majorana... superfluid helium 3 research helps https://openreview.net/forum?id=bo0cP4uK9w TIPS: Topologically Important Path Sampling for Anytime Neural Networks | OpenReview Anytime neural networks (AnytimeNNs) are a promising solution to adaptively adjust the model complexity at runtime under various hardware resource constraints.... for anytime neural networks tips topologically important https://www.preprints.org/manuscript/201909.0203 Topologically Defined Flash Memory[v1] | Preprints.org We discuss a topological method of storing and retrieving information from flash memory. We first present a sensing method where the threshold voltage level,... flash memory topologically defined v1 preprints https://arxiv.org/abs/1912.09059 [1912.09059] $n$-ML: Mitigating Adversarial Examples via Ensembles of Topologically Manipulated... Abstract page for arXiv paper 1912.09059: $n$-ML: Mitigating Adversarial Examples via Ensembles of Topologically Manipulated Classifiers adversarial examples https://elifesciences.org/articles/88564/peer-reviews Peer review in Structural basis for the preservation of a subset of topologically associating... The finding that deletion of the genome folding motor leaves a significant fraction of a key structural feature of chromosome at the single cell and ensemble... https://elifesciences.org/articles/88564/figures Figures and data in Structural basis for the preservation of a subset of topologically associating... The finding that deletion of the genome folding motor leaves a significant fraction of a key structural feature of chromosome at the single cell and ensemble... https://www.ornl.gov/publication/amplifying-nanoparticle-reinforcement-through-low-volume-topologically-controlled Amplifying Nanoparticle Reinforcement through Low Volume Topologically Controlled Chemical Coupling... We present a streamlined method to covalently bond hydroxylated carbon nanotubes (CNOH) within a polyphenol matrix, all achieved through a direct, solvent-free... low volume amplifying nanoparticle reinforcement topologically https://deepai.org/publication/deep-invertible-approximation-of-topologically-rich-maps-between-manifolds Deep Invertible Approximation of Topologically Rich Maps between Manifolds | DeepAI Oct 2, 2022 - 10/02/22 - How can we design neural networks that allow for stable universal approximation of maps between topologically interesting manifold... deep invertible approximation topologically rich https://arxiv.org/abs/1212.5473 [1212.5473] Spin foam with topologically encoded tetrad on trivalent spin networks Abstract page for arXiv paper 1212.5473: Spin foam with topologically encoded tetrad on trivalent spin networks spin foam 1212 5473 https://www.preprints.org/manuscript/202312.1125/v1 Long Range Effects in Topologically Defective Arm-Chair Graphene Nanoribbons[v1] | Preprints.org The electronic structure of 7/9-AGNR superlattices with up to eight unit cells has been studied by means of state of the art DFT and a model Hamiltonian that... https://arxiv.org/abs/2601.05304 [2601.05304] Ontology Neural Networks for Topologically Conditioned Constraint Satisfaction Abstract page for arXiv paper 2601.05304: Ontology Neural Networks for Topologically Conditioned Constraint Satisfaction neural networks 2601 05304 ontology topologically