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Found 7 papers, 1 papers with code
Detecting Conceptual Abstraction in LLMs
We present a novel approach to detecting noun abstraction within a large language model (LLM).
Why Capsule Neural Networks Do Not Scale: Challenging the Dynamic Parse-Tree Assumption
The capsule neural network (CapsNet), by Sabour, Frosst, and Hinton, is the first actual implementation of the conceptual idea of capsule neural networks.
Convexity Certificates from Hessians
The Hessian of a differentiable convex function is positive semidefinite.
Optimization for Classical Machine Learning Problems on the GPU
Here, we extend the GENO framework to also solve constrained optimization problems on the GPU.
A Simple and Efficient Tensor Calculus for Machine Learning
This leaves two options, to either change the underlying tensor representation in these frameworks or to develop a new, provably correct algorithm based on Einstein notation.
GENO -- GENeric Optimization for Classical Machine Learning
The framework is flexible enough to encompass most of the classical machine learning problems.
Distributed Convex Optimization with Many Convex Constraints
We address the problem of solving convex optimization problems with many convex constraints in a distributed setting.
