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Found 6 papers, 1 papers with code
Quantum Polar Metric Learning: Efficient Classically Learned Quantum Embeddings
When compared to QMeL approaches, QPMeL achieves 3X better multi-class separation, while using only 1/2 the number of gates and depth.
GiPH: Generalizable Placement Learning for Adaptive Heterogeneous Computing
Careful placement of a computational application within a target device cluster is critical for achieving low application completion time.
Special Session: Towards an Agile Design Methodology for Efficient, Reliable, and Secure ML Systems
The real-world use cases of Machine Learning (ML) have exploded over the past few years.
Hardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights
Machine learning (ML) models are widely used in many important domains.
TickTalk -- Timing API for Dynamically Federated Cyber-Physical Systems
Although timing and synchronization of a dynamically-changing set of elements and their related power considerations are essential to many cyber-physical systems (CPS), they are absent from today's programming languages, forcing programmers to handle these matters outside of the language and on a case-by-case basis.
Programming Languages Systems and Control
Optimizing the Union of Intersections LASSO ($UoI_{LASSO}$) and Vector Autoregressive ($UoI_{VAR}$) Algorithms for Improved Statistical Estimation at Scale
The analysis of scientific data of increasing size and complexity requires statistical machine learning methods that are both interpretable and predictive.
