Sparse Variational Inference: Bayesian Coresets from Scratch. - Trevor Campbell; Boyan Beronov (NeurIPS, 2019)

Structured Conditional Continuous Normalizing Flows for Efficient Amortized Inference in Graphical Models. - Christian Weilbach; Boyan Beronov; Frank Wood; William Harvey 002 (AISTATS, 2020)

Planning as Inference in Epidemiological Models. - Frank Wood; Andrew Warrington; Saeid Naderiparizi; Christian Weilbach; Vaden Masrani; William Harvey 002; Adam Scibior; Boyan Beronov; Seyed Ali Nasseri (CoRR, 2020)

Sequential core-set Monte Carlo. - Boyan Beronov; Christian Weilbach; Frank Wood; Trevor Campbell (UAI, 2021)

Planning as Inference in Epidemiological Dynamics Models. - Frank Wood; Andrew Warrington; Saeid Naderiparizi; Christian Weilbach; Vaden Masrani; William Harvey 002; Adam Scibior; Boyan Beronov; John Grefenstette; Duncan Campbell; Seyed Ali Nasseri (Frontiers Artif. Intell., 2021)

Revisiting Hybridization Kinetics with Improved Elementary Step Simulation. - Jordan Lovrod; Boyan Beronov; Chenwei Zhang; Erik Winfree; Anne Condon (DNA, 2023)

ViDa: Visualizing DNA hybridization trajectories with biophysics-informed deep graph embeddings. - Chenwei Zhang; Jordan Lovrod; Boyan Beronov; Khanh Dao Duc; Anne Condon (MLCB, 2023)