Andrew Y. K. Foong

22 papers A* 7Journal 14Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	RadOnc-GPT: An Autonomous LLM Agent for Real-Time Patient Outcomes Labeling at Scale. CoRR Jason Holmes, Yuexing Hao, Mariana Borras-Osorio, Federico Mastroleo, Santiago Romero-Brufau, Valentina Carducci, Katie M. Van Abel, David M. Routman, Andrew Y. K. Foong, Liv M. Muller, Satomi Shiraishi, Daniel K. Ebner, Daniel J. Ma, Sameer R. Keole, Samir H. Patel, Mirek Fatyga, Martin Bues, Brad J. Stish, Yolanda I Garces, Michelle A Neben Wittich, Robert L. Foote, Sujay A. Vora, Nadia N. Laack, Mark R. Waddle, Wei Liu
2024	J	`jnl`	Denoising Diffusion Probabilistic Models in Six Simple Steps. CoRR Richard E. Turner, Cristiana-Diana Diaconu, Stratis Markou, Aliaksandra Shysheya, Andrew Y. K. Foong, Bruno Mlodozeniec
2024	J	`jnl`	Improved motif-scaffolding with SE(3) flow matching. CoRR Jason Yim, Andrew Campbell, Emile Mathieu, Andrew Y. K. Foong, Michael Gastegger, José Jiménez-Luna, Sarah Lewis, Victor Garcia Satorras, Bastiaan S. Veeling, Frank Noé, Regina Barzilay, Tommi S. Jaakkola
2024	J	`jnl`	Improved motif-scaffolding with SE(3) flow matching. Trans. Mach. Learn. Res. Jason Yim, Andrew Campbell, Emile Mathieu, Andrew Y. K. Foong, Michael Gastegger, José Jiménez-Luna, Sarah Lewis, Victor Garcia Satorras, Bastiaan S. Veeling, Frank Noé, Regina Barzilay, Tommi S. Jaakkola
2023	A*	`conf`	Autoregressive Conditional Neural Processes. ICLR Wessel P. Bruinsma, Stratis Markou, James Requeima, Andrew Y. K. Foong, Tom R. Andersson, Anna Vaughan, Anthony Buonomo, J. Scott Hosking, Richard E. Turner
2023	J	`jnl`	Autoregressive Conditional Neural Processes. CoRR Wessel P. Bruinsma, Stratis Markou, James Requeima, Andrew Y. K. Foong, Tom R. Andersson, Anna Vaughan, Anthony Buonomo, J. Scott Hosking, Richard E. Turner
2023	A*	`conf`	Timewarp: Transferable Acceleration of Molecular Dynamics by Learning Time-Coarsened Dynamics. NeurIPS Leon Klein, Andrew Y. K. Foong, Tor Erlend Fjelde, Bruno Mlodozeniec, Marc Brockschmidt, Sebastian Nowozin, Frank Noé, Ryota Tomioka
2023	J	`jnl`	Timewarp: Transferable Acceleration of Molecular Dynamics by Learning Time-Coarsened Dynamics. CoRR Leon Klein, Andrew Y. K. Foong, Tor Erlend Fjelde, Bruno Mlodozeniec, Marc Brockschmidt, Sebastian Nowozin, Frank Noé, Ryota Tomioka
2022	J	`jnl`	A Note on the Chernoff Bound for Random Variables in the Unit Interval. CoRR Andrew Y. K. Foong, Wessel P. Bruinsma, David R. Burt
2021	A*	`conf`	Collapsed Variational Bounds for Bayesian Neural Networks. NeurIPS Marcin Tomczak, Siddharth Swaroop, Andrew Y. K. Foong, Richard E. Turner
2021	—	`conf`	Evaluating Approximate Inference in Bayesian Deep Learning. NeurIPS (Competition and Demos) Andrew Gordon Wilson, Pavel Izmailov, Matthew D. Hoffman, Yarin Gal, Yingzhen Li, Melanie F. Pradier, Sharad Vikram, Andrew Y. K. Foong, Sanae Lotfi, Sebastian Farquhar
2021	A*	`conf`	How Tight Can PAC-Bayes be in the Small Data Regime? NeurIPS Andrew Y. K. Foong, Wessel P. Bruinsma, David R. Burt, Richard E. Turner
2021	J	`jnl`	How Tight Can PAC-Bayes be in the Small Data Regime? CoRR Andrew Y. K. Foong, Wessel P. Bruinsma, David R. Burt, Richard E. Turner
2021	J	`jnl`	The Gaussian Neural Process. CoRR Wessel P. Bruinsma, James Requeima, Andrew Y. K. Foong, Jonathan Gordon, Richard E. Turner
2020	A*	`conf`	Convolutional Conditional Neural Processes. ICLR Jonathan Gordon, Wessel P. Bruinsma, Andrew Y. K. Foong, James Requeima, Yann Dubois, Richard E. Turner
2020	A*	`conf`	Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes. NeurIPS Andrew Y. K. Foong, Wessel P. Bruinsma, Jonathan Gordon, Yann Dubois, James Requeima, Richard E. Turner
2020	J	`jnl`	Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes. CoRR Andrew Y. K. Foong, Wessel P. Bruinsma, Jonathan Gordon, Yann Dubois, James Requeima, Richard E. Turner
2020	A*	`conf`	On the Expressiveness of Approximate Inference in Bayesian Neural Networks. NeurIPS Andrew Y. K. Foong, David R. Burt, Yingzhen Li, Richard E. Turner
2020	J	`jnl`	Structured Weight Priors for Convolutional Neural Networks. CoRR Tim Pearce, Andrew Y. K. Foong, Alexandra Brintrup
2019	J	`jnl`	'In-Between' Uncertainty in Bayesian Neural Networks. CoRR Andrew Y. K. Foong, Yingzhen Li, José Miguel Hernández-Lobato, Richard E. Turner
2019	J	`jnl`	Convolutional Conditional Neural Processes. CoRR Jonathan Gordon, Wessel P. Bruinsma, Andrew Y. K. Foong, James Requeima, Yann Dubois, Richard E. Turner
2019	J	`jnl`	Pathologies of Factorised Gaussian and MC Dropout Posteriors in Bayesian Neural Networks. CoRR Andrew Y. K. Foong, David R. Burt, Yingzhen Li, Richard E. Turner