Nam, Juno

7 publications

ICLR 2026 Enhancing Diffusion-Based Sampling with Molecular Collective Variables Juno Nam, Bálint Máté, Artur P. Toshev, Manasa Kaniselvan, Rafael Gomez-Bombarelli, Ricky T. Q. Chen, Brandon M. Wood, Guan-Horng Liu, Benjamin Kurt Miller

ICLR 2026 Learning from the Electronic Structure of Molecules Across the Periodic Table Manasa Kaniselvan, Benjamin Kurt Miller, Meng Gao, Juno Nam, Daniel S. Levine

ICLRW 2025 MatDock: Multi-Molecule Docking in Porous Materials with Flow Matching Malte Franke, Mingrou Xie, Akshay Subramanian, Juno Nam, Rafael Gomez-Bombarelli

ICLR 2025 Think While You Generate: Discrete Diffusion with Planned Denoising Sulin Liu, Juno Nam, Andrew Campbell, Hannes Stark, Yilun Xu, Tommi Jaakkola, Rafael Gomez-Bombarelli

ICMLW 2024 Generative Acceleration of Molecular Dynamics Simulations for Solid-State Electrolytes Juno Nam, Sulin Liu, Gavin Winter, Rafael Gomez-Bombarelli

NeurIPSW 2024 Probing the Embedding Space of Protein Foundation Models Through Intrinsic Dimension Analysis Soojung Yang, Juno Nam, Tynan Perez, Jinyeop Song, Xiaochen Du, Rafael Gomez-Bombarelli

NeurIPSW 2024 Symmetry-Constrained Generation of Diverse Low-Bandgap Molecules with Monte Carlo Tree Search Akshay Subramanian, James Damewood, Juno Nam, Kevin P. Greenman, Avni P. Singhal, Rafael Gomez-Bombarelli