Campbell, Andrew

13 publications

CHIL 2025 Beyond Prompting: Time2Lang - Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Arvind Pillai, Dimitris Spathis, Subigya Nepal, Amanda C. Collins, Daniel M Mackin, Michael V. Heinz, Tess Z Griffin, Nicholas C. Jacobson, Andrew Campbell

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

ICML 2024 Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design Andrew Campbell, Jason Yim, Regina Barzilay, Tom Rainforth, Tommi Jaakkola

ICLRW 2024 Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design Andrew Campbell, Jason Yim, Regina Barzilay, Tom Rainforth, Tommi Jaakkola

TMLR 2024 Improved Motif-Scaffolding with SE(3) Flow Matching Jason Yim, Andrew Campbell, Emile Mathieu, Andrew Y. K. Foong, Michael Gastegger, Jose Jimenez-Luna, Sarah Lewis, Victor Garcia Satorras, Bastiaan S. Veeling, Frank Noe, Regina Barzilay, Tommi Jaakkola

ICLRW 2024 Improved Motif-Scaffolding with SE(3) Flow Matching Jason Yim, Andrew Campbell, Emile Mathieu, Andrew Y. K. Foong, Michael Gastegger, Jose Jimenez-Luna, Sarah Lewis, Victor Garcia Satorras, Bastiaan S. Veeling, Frank Noe, Regina Barzilay, Tommi Jaakkola

NeurIPS 2024 Score-Optimal Diffusion Schedules Christopher Williams, Andrew Campbell, Arnaud Doucet, Saifuddin Syed

NeurIPS 2023 Diffusion Schrödinger Bridge Matching Yuyang Shi, Valentin De Bortoli, Andrew Campbell, Arnaud Doucet

CHIL 2023 Rare Life Event Detection via Mobile Sensing Using Multi-Task Learning Arvind Pillai, Subigya Nepal, Andrew Campbell

NeurIPS 2023 Trans-Dimensional Generative Modeling via Jump Diffusion Models Andrew Campbell, William Harvey, Christian Weilbach, Valentin De Bortoli, Thomas Rainforth, Arnaud Doucet

NeurIPS 2022 A Continuous Time Framework for Discrete Denoising Models Andrew Campbell, Joe Benton, Valentin De Bortoli, Thomas Rainforth, George Deligiannidis, Arnaud Doucet

ICML 2021 A Gradient Based Strategy for Hamiltonian Monte Carlo Hyperparameter Optimization Andrew Campbell, Wenlong Chen, Vincent Stimper, Jose Miguel Hernandez-Lobato, Yichuan Zhang

NeurIPS 2021 Online Variational Filtering and Parameter Learning Andrew Campbell, Yuyang Shi, Thomas Rainforth, Arnaud Doucet