Guo, Jeff

13 publications

ICLR 2026 KL-Regularized Reinforcement Learning for Generative Modelling Is Designed to Mode Collapse Anthony GX-Chen, Jatin Prakash, Jeff Guo, Rob Fergus, Rajesh Ranganath

ICLRW 2025 It Takes Two to Tango: Directly Optimizing for Constrained Synthesizability in Generative Molecular Design Jeff Guo, Philippe Schwaller

ICML 2025 LLM-Augmented Chemical Synthesis and Design Decision Programs Haorui Wang, Jeff Guo, Lingkai Kong, Rampi Ramprasad, Philippe Schwaller, Yuanqi Du, Chao Zhang

ICLRW 2025 LLM-Augmented Chemical Synthesis and Design Decision Programs Haorui Wang, Jeff Guo, Lingkai Kong, Rampi Ramprasad, Philippe Schwaller, Yuanqi Du, Chao Zhang

ICLRW 2025 MatInvent: Reinforcement Learning for 3D Crystal Diffusion Generation Junwu Chen, Jeff Guo, Philippe Schwaller

ICLRW 2025 Tango*: Constrained Synthesis Planning Using Chemically Informed Value Functions Daniel P Armstrong, Zlatko Jončev, Jeff Guo, Philippe Schwaller

ICLR 2024 Beam Enumeration: Probabilistic Explainability for Sample Efficient Self-Conditioned Molecular Design Jeff Guo, Philippe Schwaller

NeurIPSW 2024 Directly Optimizing for Synthesizability in Generative Molecular Design Using Retrosynthesis Models Jeff Guo, Philippe Schwaller

NeurIPSW 2024 Directly Optimizing for Synthesizability in Generative Molecular Design Using Retrosynthesis Models Jeff Guo, Philippe Schwaller

NeurIPSW 2024 Dynamic Beam Enumeration: A Bridge Between Generative Molecular Design and Library Screening Victoire Lang, Jeff Guo, Philippe Schwaller

NeurIPSW 2024 Saturn: Sample-Efficient Generative Molecular Design Using Memory Manipulation Jeff Guo, Philippe Schwaller

NeurIPSW 2024 Saturn: Sample-Efficient Generative Molecular Design Using Memory Manipulation Jeff Guo, Philippe Schwaller

NeurIPSW 2023 Beam Enumeration: Probabilistic Explainability for Sample Efficient Self-Conditioned Molecular Design Jeff Guo, Philippe Schwaller