Alvin Heng
Hello! I am currently a PhD student at the National University of Singapore, where I work on deep generative models as part of
CLeAR Lab with Harold Soh.
Research: The goal of my research is to make generative models ready for the real-world, by focusing on improving three aspects: safety,
robustness and efficiency. As part of my PhD, some areas that I have worked on include gradient flows,
diffusion models, variational inference and time-series prediction. To learn more about my background and research,
please refer to my CV and Google Scholar profile linked below.
Previously: In my past life, I worked as a physicist, specializing in the field of condensed matter physics during my undergraduate studies.
My primary focus involved conducting numerical simulations to study exotic physical phenomena in quantum materials. During this time, I worked with
Pinaki Sengupta at the Nanyang Technological University, as well as
Anna Keselman and Leon Balents at the Kavli Institute
for Theoretical Physics at UC Santa Barbara. As a Masters student at the University of Toronto, I worked with Nathan Wiebe to
explore how classical deep learning techniques can be used to improve the performance of quantum algorithms.
Email /
CV /
Google Scholar /
GitHub /
LinkedIn
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Selective Amnesia: A Continual Learning Approach to Forgetting in Deep Generative Models
Alvin Heng, Harold Soh
Neural Information Processing Systems (NeurIPS), 2023, Spotlight
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Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series
Abdul Fatir Ansari, Alvin Heng, Andre Lim, Harold Soh
International Conference on Machine Learning (ICML), 2023, Oral
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Generative Modeling with Flow-Guided Density Ratio Learning
Alvin Heng, Abdul Fatir Ansari, Harold Soh
Preprint
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Three-Magnon Bound State in the Quasi-One-Dimensional Antiferromagnet a-NaMnO2
Rebecca L Dally, Alvin JR Heng, Anna Keselman, Mitchell M Bordelon, Matthew B Stone, Leon Balents, Stephen D Wilson
Physical Review Letters
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Pair Hopping in Systems of Strongly Interacting Hard-Core Bosons
Alvin JR Heng, Wenan Guo, Anders W Sandvik, Pinaki Sengupta
Physical Review B
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Optimal Fee Structure For Efficient Lightning Networks
Alvin JR Heng, Ling Feng, Siew Ann Cheong, Rick Siow Mong Goh
2018 IEEE 24th International Conference on Parallel and Distributed Systems (ICPADS)
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