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Conference and Workshop Papers
- 2024
[c8]Halley Young:
Deriving Desirable Artistic Generative Distributions from Individual Identity Statements. IUI Workshops 2024- 2022
- [c7]Halley Young, Vincent Dumoulin, Pablo S. Castro, Jesse H. Engel, Cheng-Zhi Anna Huang:
Compositional Steering of Music Transformers 66-80. IUI Workshops 2022: 66-80 - [c6]Halley Young, Maxwell Du, Osbert Bastani:
Neurosymbolic Deep Generative Models for Sequence Data with Relational Constraints. NeurIPS 2022 - 2021
- [c5]Halley Young:
A First-Order Theory of Film Scores for Generation from Lightweight Specifications. AIIDE Workshops 2021 - 2019
- [c4]Halley Young:
Algorithm as Determinant of Form in Music. ICCC 2019: 350-351 - [c3]Halley Young, Osbert Bastani, Mayur Naik:
Learning Neurosymbolic Generative Models via Program synthesis. DeepRLStructPred@ICLR 2019 - [c2]Halley Young, Osbert Bastani, Mayur Naik:
Learning Neurosymbolic Generative Models via Program Synthesis. ICML 2019: 7144-7153 - 2017
- [c1]Halley Young:
A categorial grammar for music and its use in automatic melody generation. FARM@ICFP 2017: 1-9
Informal and Other Publications
- 2024
- [i3]Halley Young, Yimeng Zeng, Jacob R. Gardner, Osbert Bastani:
Improving Structural Diversity of Blackbox LLMs via Chain-of-Specification Prompting. CoRR abs/2408.06186 (2024) - 2023
- [i2]Halley Young:
Undecidability Results and Their Relevance in Modern Music Making. CoRR abs/2309.05595 (2023) - 2019
- [i1]Halley Young, Osbert Bastani, Mayur Naik:
Learning Neurosymbolic Generative Models via Program Synthesis. CoRR abs/1901.08565 (2019)
Coauthor Index
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