Scholar
Sanghyeok Choi
Google Scholar ID: wQqjHlIAAAAJ
University of Edinburgh
Citations & Impact
Citations
185
H-index
6
i10-index
6
Publications
13
Co-authors
10
list available
Publications
Resume (English only)
Academic Achievements
- - Reinforced sequential Monte Carlo for amortised sampling (Under review by AISTATS 2026, an earlier version was presented at ICML 2025 Workshop on Generative AI and Biology)
- - Diffusion Alignment as Variational Expectation-Maximization (Under review by ICLR 2026)
- - torchgfn: A PyTorch GFlowNet library (NeurIPS 2025 Workshop on Frontiers in Probabilistic Inference: Sampling Meets Learning)
- - Rl4co: an extensive reinforcement learning for combinatorial optimization benchmark (KDD 2025 Datasets and Benchmarks Track (Oral))
- - Neural Genetic Search in Discrete Spaces (ICML 2025 & ICLR 2025 Workshop on Deep Generative Model in Machine Learning: Theory, Principle and Efficacy)
- - Improved Off-policy Reinforcement Learning in Biological Sequence Design (ICML 2025 & NeurIPS 2024 Workshop on AI for New Drug Modalities)
- - Adaptive teachers for amortized samplers (ICLR 2025)
- - Ant Colony Sampling with GFlowNets for Combinatorial Optimization (AISTATS 2025)
- - Genetic-guided GFlowNets: Advancing in Practical Molecular Optimization Benchmark (NeurIPS 2024)
- - Equity-Transformer: Solving NP-Hard Min-Max Routing Problems as Sequential Generation with Equity Context (AAAI 2024)
- - Multi-agent reinforcement learning based actuator control for EV HVAC systems (IEEE Access 2022)
Research Experience
- - Oct 2024 - Dec 2025, Research Intern @ Mila, remotely
- - Sep 2022 - Aug 2023, Undergraduate Resercher @ Systems Intelligence Lab, KAIST
- - Jan 2022 - Aug 2022, Machine Learning Research Engineer (Intern) @ MakinaRocks
- - Mar 2021 - Dec 2021, Undergraduate Researcher @ Vision & ...
Education
- - Sep 2025 - Current, PhD student in Informatics, University of Edinburgh, UK, supervised by Nikolay Malkin and Henry Gouk
- - Sep 2023 - Aug 2025, MS in Industrial & Systems Engineering, KAIST, South Korea
- - Mar 2017 - Aug 2023, BBA and BS in Industrial Engineering, Seoul National University, South Korea
Background
- PhD student in Informatics at the University of Edinburgh, focusing on Deep Learning, Generative Models, Probabilistic Inference, Generative Flow Networks, Structure Learning, and their applications in advancing AI Safety and AI for Science.
Miscellany
- Personal interests and other unmentioned details
