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2020 – today
- 2024
[c8]Haizi Yu, Lav R. Varshney:
Semantic Compression with Information Lattice Learning. ISIT (Workshops) 2024: 1-6- [i8]Haizi Yu, Lav R. Varshney
:
Semantic Compression with Information Lattice Learning. CoRR abs/2404.03131 (2024) - 2023
- [j3]Haizi Yu, James A. Evans, Lav R. Varshney:
Information Lattice Learning. J. Artif. Intell. Res. 77: 971-1019 (2023) - [j2]Haizi Yu, Igor Mineyev, Lav R. Varshney:
A Group-Theoretic Approach to Computational Abstraction: Symmetry-Driven Hierarchical Clustering. J. Mach. Learn. Res. 24: 47:1-47:61 (2023) - 2022
- [c7]Xiou Ge, Richard T. Goodwin, Haizi Yu, Pablo Romero, Omar Abdelrahman, Amruta Sudhalkar, Julius Kusuma, Ryan Cialdella, Nishant Garg, Lav R. Varshney:
Accelerated Design and Deployment of Low-Carbon Concrete for Data Centers. COMPASS 2022: 340-352 - [i7]Haizi Yu, Igor Mineyev, Lav R. Varshney, James A. Evans:
Learning from One and Only One Shot. CoRR abs/2201.08815 (2022) - [i6]Xiou Ge, Richard T. Goodwin, Haizi Yu, Pablo Romero, Omar Abdelrahman, Amruta Sudhalkar, Julius Kusuma, Ryan Cialdella, Nishant Garg, Lav R. Varshney:
Accelerated Design and Deployment of Low-Carbon Concrete for Data Centers. CoRR abs/2204.05397 (2022) - 2021
- [j1]Haizi Yu, Igor Mineyev, Lav R. Varshney:
Orbit Computation for Atomically Generated Subgroups of Isometries of ℤn. SIAM J. Appl. Algebra Geom. 5(3): 479-505 (2021) - [c6]Haizi Yu, James A. Evans, Donna Gallo, Adam Kruse, William M. Patterson, Lav R. Varshney:
AI-Aided Co-Creation for Wellbeing. ICCC 2021: 453-456 - 2020
- [i5]Haizi Yu, Heinrich Taube, James A. Evans, Lav R. Varshney:
Human Evaluation of Interpretability: The Case of AI-Generated Music Knowledge. CoRR abs/2004.06894 (2020)
2010 – 2019
- 2019
- [b1]Haizi Yu:
Automatic concept learning via information lattices. University of Illinois Urbana-Champaign, USA, 2019 - [i4]Haizi Yu, Igor Mineyev, Lav R. Varshney:
Orbit Computation for Atomically Generated Subgroups of Isometries of Zn. CoRR abs/1910.01317 (2019) - 2018
- [i3]Haizi Yu, Igor Mineyev, Lav R. Varshney:
A Group-Theoretic Approach to Abstraction: Hierarchical, Interpretable, and Task-Free Clustering. CoRR abs/1807.11167 (2018) - 2017
- [c5]Haizi Yu, Lav R. Varshney:
Towards Deep Interpretability (MUS-ROVER II): Learning Hierarchical Representations of Tonal Music. ICLR (Poster) 2017 - [c4]Ravi Kiran Raman, Haizi Yu, Lav R. Varshney:
Illum information. ITA 2017: 1-6 - [c3]Haizi Yu, Tianxi Li, Lav R. Varshney:
Probabilistic Rule Realization and Selection. NIPS 2017: 1562-1572 - [i2]Haizi Yu, Tianxi Li, Lav R. Varshney:
Probabilistic Rule Realization and Selection. CoRR abs/1709.01674 (2017) - 2016
- [c2]Haizi Yu, Biplab Deka, Jerry O. Talton, Ranjitha Kumar:
Accounting for Taste: Ranking Curators and Content in Social Networks. CHI 2016: 2383-2389 - [i1]Haizi Yu, Lav R. Varshney, Guy E. Garnett, Ranjitha Kumar:
Learning Interpretable Musical Compositional Rules and Traces. CoRR abs/1606.05572 (2016) - 2015
- [c1]Biplab Deka, Haizi Yu, Devin Ho, Zifeng Huang, Jerry O. Talton, Ranjitha Kumar:
Ranking Designs and Users in Online Social Networks. CHI Extended Abstracts 2015: 1887-1892
Coauthor Index
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