South America
Exact recovery and Bregman hard clustering of node-attributed Stochastic Block Model
However, in many scenarios, nodes also have attributes that are correlated with the clustering structure. Thus, network information (edges) and node information (attributes) can be jointly leveraged to design high-performance clustering algorithms. Under a general model for the network and node attributes, this work establishes an information-theoretic criterion for the exact recovery of community labels and characterizes a phase transition determined by the Chernoff-Hellinger divergence of the model.
Outlier Detection and Robust PCA Using a Convex Measure of Innovation
Neural Information Processing Systems http://nips.cc/
MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention Huiqiang Jiang, Yucheng Li
Existing methods for speeding up pre-filling often fail to maintain acceptable accuracy or efficiency when applied to long-context LLMs.
Untangling in Invariant Speech Recognition
Cory Stephenson, Jenelle Feather, Suchismita Padhy, Oguz Elibol, Hanlin Tang, Josh McDermott, SueYeon Chung
Meanwhile, deep neural networks have also achieved impressive performance in audio processing applications, both as sub-components of larger systems and as complete end-to-end systems by themselves.
Equivariant spatio-hemispherical networks for diffusion MRI deconvolution
Each voxel in a diffusion MRI (dMRI) image contains a spherical signal corresponding to the direction and strength of water diffusion in the brain.
TensorNet: Cartesian Tensor Representations for Efficient Learning of Molecular Potentials
The development of efficient machine learning models for molecular systems representation is becoming crucial in scientific research.
US military used Anthropic's AI model Claude in Venezuela raid, report says
A spokesperson for Anthropic declined to comment on whether Claude was used in the operation, but said any use of the tool was required to comply with its policies. A spokesperson for Anthropic declined to comment on whether Claude was used in the operation, but said any use of the tool was required to comply with its policies. US military used Anthropic's AI model Claude in Venezuela raid, report says Wall Street Journal says Claude used in operation via Anthropic's partnership with Palantir Technologies Sat 14 Feb 2026 11.15 ESTFirst published on Sat 14 Feb 2026 10.53 EST Claude, the AI model developed by Anthropic, was used by the US military during its operation to kidnap Nicolás Maduro from Venezuela, the Wall Street Journal revealed on Saturday, a high-profile example of how the US defence department is using artificial intelligence in its operations. The US raid on Venezuela involved bombing across the capital, Caracas, and the killing of 83 people, according to Venezuela's defence ministry. Anthropic's terms of use prohibit the use of Claude for violent ends, for the development of weapons or for conducting surveillance.