4 citations · 12 across the 9 of their papers we have counts for
9 papers
Information Lattice Learning as Probabilistic Graphical Model Structure Learning
Haizi Yu, Lav R. Varshney
Information lattice learning (ILL) learns interpretable rules of a signal by alternately projecting the signal onto a partition lattice that encodes a hierarchy of abstractions and…
Semantic Compression with Information Lattice Learning
Haizi Yu, Lav R. Varshney
Data-driven artificial intelligence (AI) techniques are becoming prominent for learning in support of data compression, but are focused on standard problems such as text compressio…
Accelerated Design and Deployment of Low-Carbon Concrete for Data Centers
Xiou Ge, Richard T. Goodwin, Haizi Yu +7
Concrete is the most widely used engineered material in the world with more than 10 billion tons produced annually. Unfortunately, with that scale comes a significant burden in ter…
Learning from One and Only One Shot
Haizi Yu, Igor Mineyev, Lav R. Varshney +1
Humans can generalize from only a few examples and from little pretraining on similar tasks. Yet, machine learning (ML) typically requires large data to learn or pre-learn to trans…
Human Evaluation of Interpretability: The Case of AI-Generated Music Knowledge
Haizi Yu, Heinrich Taube, James A. Evans +1
Interpretability of machine learning models has gained more and more attention among researchers in the artificial intelligence (AI) and human-computer interaction (HCI) communitie…
Orbit Computation for Atomically Generated Subgroups of Isometries of
Haizi Yu, Igor Mineyev, Lav R. Varshney
Isometries are ubiquitous in nature; isometries of discrete (quantized) objects---abstracted as the group of isometries of denoted by ---…
A Group-Theoretic Approach to Computational Abstraction: Symmetry-Driven Hierarchical Clustering
Haizi Yu, Igor Mineyev, Lav R. Varshney
Abstraction plays a key role in concept learning and knowledge discovery; this paper is concerned with computational abstraction. In particular, we study the nature of abstraction…
Probabilistic Rule Realization and Selection
Haizi Yu, Tianxi Li, Lav R. Varshney
Abstraction and realization are bilateral processes that are key in deriving intelligence and creativity. In many domains, the two processes are approached through rules: high-leve…
Learning Interpretable Musical Compositional Rules and Traces
Haizi Yu, Lav R. Varshney, Guy E. Garnett +1
Throughout music history, theorists have identified and documented interpretable rules that capture the decisions of composers. This paper asks, "Can a machine behave like a music…