publications

Generative Models

1. Preprint

   Scalable Diffusion SBI for Compositional Inference under Simulator Misspecification

   Vincent D. Zaballa and Elliot E. Hui

   2026

   arXiv Bib Website

   @misc{zaballa2026scalable,
     title = {Scalable Diffusion SBI for Compositional Inference under Simulator Misspecification},
     author = {Zaballa, Vincent D. and Hui, Elliot E.},
     year = {2026},
     archiveprefix = {arXiv},
   }

2. UAI

   Optimizing Likelihoods via Mutual Information: Bridging Simulation-Based Inference and Bayesian Optimal Experimental Design

   Vincent D. Zaballa and Elliot E. Hui

   In Conference on Uncertainty in Artificial Intelligence (UAI), 2026

   arXiv Bib Code

   @inproceedings{zaballa2025optimizinglikelihoodsmutualinformation,
     title = {Optimizing Likelihoods via Mutual Information: Bridging Simulation-Based Inference and Bayesian Optimal Experimental Design},
     author = {Zaballa, Vincent D. and Hui, Elliot E.},
     booktitle = {Conference on Uncertainty in Artificial Intelligence (UAI)},
     year = {2026},
     archiveprefix = {arXiv},
     primaryclass = {stat.ML},
   }

3. MLSB @ NeurIPS

   Systems-Structure-Based Drug Design

   Vincent D. Zaballa and Elliot E. Hui

   In NeurIPS MLSB Workshop, 2024

   Reviewer #2: "...a novel new idea with a complete pipeline for structure based drug design."

   arXiv Bib

   @inproceedings{zaballa2024systems,
     title = {Systems-Structure-Based Drug Design},
     author = {Zaballa, Vincent D. and Hui, Elliot E.},
     booktitle = {NeurIPS MLSB Workshop},
     year = {2024},
     archiveprefix = {arXiv},
   }

4. GenBio @ NeurIPS

   Approximation of Intractable Likelihood Functions in Systems Biology via Normalizing Flows

   Vincent D. Zaballa and Elliot E. Hui

   In NeurIPS GenBio Workshop, 2023

   arXiv Bib

   @inproceedings{zaballa2023approximationintractablelikelihoodfunctions,
     title = {Approximation of Intractable Likelihood Functions in Systems Biology via Normalizing Flows},
     author = {Zaballa, Vincent D. and Hui, Elliot E.},
     booktitle = {NeurIPS GenBio Workshop},
     year = {2023},
     archiveprefix = {arXiv},
     primaryclass = {q-bio.QM},
   }

Stochastic Processes and Monte Carlo

1. Preprint

   Scalable Diffusion SBI for Compositional Inference under Simulator Misspecification

   Vincent D. Zaballa and Elliot E. Hui

   2026

   arXiv Bib Website

   @misc{zaballa2026scalable,
     title = {Scalable Diffusion SBI for Compositional Inference under Simulator Misspecification},
     author = {Zaballa, Vincent D. and Hui, Elliot E.},
     year = {2026},
     archiveprefix = {arXiv},
   }

2. DAE @ ICML

   Stochastic Gradient Bayesian Optimal Experimental Designs for Simulation-based Inference

   Vincent D. Zaballa and Elliot E. Hui

   In ICML Differentiable Almost Everything Workshop, 2023

   arXiv Bib

   @inproceedings{zaballa2023stochastic,
     title = {Stochastic Gradient Bayesian Optimal Experimental Designs for Simulation-based Inference},
     author = {Zaballa, Vincent D. and Hui, Elliot E.},
     booktitle = {ICML Differentiable Almost Everything Workshop},
     year = {2023},
     archiveprefix = {arXiv},
   }

Bayesian Inference and Experimental Design

1. MetaBOED: Agentic Control of Inference and Experimental Design under Simulator Uncertainty

   Vincent D. Zaballa^* and Eric Bourgain-Chang^*

   2026

   In preparation
2. UAI

   Optimizing Likelihoods via Mutual Information: Bridging Simulation-Based Inference and Bayesian Optimal Experimental Design

   Vincent D. Zaballa and Elliot E. Hui

   In Conference on Uncertainty in Artificial Intelligence (UAI), 2026

   arXiv Bib Code

   @inproceedings{zaballa2025optimizinglikelihoodsmutualinformation,
     title = {Optimizing Likelihoods via Mutual Information: Bridging Simulation-Based Inference and Bayesian Optimal Experimental Design},
     author = {Zaballa, Vincent D. and Hui, Elliot E.},
     booktitle = {Conference on Uncertainty in Artificial Intelligence (UAI)},
     year = {2026},
     archiveprefix = {arXiv},
     primaryclass = {stat.ML},
   }

3. DAE @ ICML

   Stochastic Gradient Bayesian Optimal Experimental Designs for Simulation-based Inference

   Vincent D. Zaballa and Elliot E. Hui

   In ICML Differentiable Almost Everything Workshop, 2023

   arXiv Bib

   @inproceedings{zaballa2023stochastic,
     title = {Stochastic Gradient Bayesian Optimal Experimental Designs for Simulation-based Inference},
     author = {Zaballa, Vincent D. and Hui, Elliot E.},
     booktitle = {ICML Differentiable Almost Everything Workshop},
     year = {2023},
     archiveprefix = {arXiv},
   }

4. CompBio @ ICML

   An Optimal Likelihood Free Method for Biological Model Selection

   Vincent D. Zaballa and Elliot E. Hui

   In ICML Workshop on Computational Biology, 2022

   arXiv Bib

   @inproceedings{zaballa2022optimallikelihoodfreemethod,
     title = {An Optimal Likelihood Free Method for Biological Model Selection},
     author = {Zaballa, Vincent D. and Hui, Elliot E.},
     booktitle = {ICML Workshop on Computational Biology},
     year = {2022},
     archiveprefix = {arXiv},
     primaryclass = {q-bio.QM},
   }

5. LMRL @ NeurIPS

   Optimal Design of Experiments for Simulation-Based Inference of Mechanistic Acyclic Biological Networks

   Vincent D. Zaballa and Elliot E. Hui

   In NeurIPS Learning Meaningful Representations of Life Workshop, 2021

   arXiv Bib

   @inproceedings{zaballa2021optimaldesignexperimentssimulationbased,
     title = {Optimal Design of Experiments for Simulation-Based Inference of Mechanistic Acyclic Biological Networks},
     author = {Zaballa, Vincent D. and Hui, Elliot E.},
     booktitle = {NeurIPS Learning Meaningful Representations of Life Workshop},
     year = {2021},
     archiveprefix = {arXiv},
     primaryclass = {q-bio.QM},
   }

AI for Drug Discovery

1. MLSB @ NeurIPS

   Systems-Structure-Based Drug Design

   Vincent D. Zaballa and Elliot E. Hui

   In NeurIPS MLSB Workshop, 2024

   Reviewer #2: "...a novel new idea with a complete pipeline for structure based drug design."

   arXiv Bib

   @inproceedings{zaballa2024systems,
     title = {Systems-Structure-Based Drug Design},
     author = {Zaballa, Vincent D. and Hui, Elliot E.},
     booktitle = {NeurIPS MLSB Workshop},
     year = {2024},
     archiveprefix = {arXiv},
   }

2. ML4LMS @ ICML

   Reducing Uncertainty Through Mutual Information in Structural and Systems Biology

   Vincent D. Zaballa and Elliot E. Hui

   In ICML ML4LMS Workshop, 2024

   Reviewer scores: 9 / 9 / 3 · median 9 (5th of 68 accepted papers, 141 submitted) · mean 7.0 (workshop mean 6.9)

   arXiv Bib

   @inproceedings{zaballa2024reducing,
     title = {Reducing Uncertainty Through Mutual Information in Structural and Systems Biology},
     author = {Zaballa, Vincent D. and Hui, Elliot E.},
     booktitle = {ICML ML4LMS Workshop},
     year = {2024},
     archiveprefix = {arXiv},
   }

Language Models and Scientific Discovery

1. MetaBOED: Agentic Control of Inference and Experimental Design under Simulator Uncertainty

   Vincent D. Zaballa^* and Eric Bourgain-Chang^*

   2026

   In preparation

2026

1. Preprint

   Scalable Diffusion SBI for Compositional Inference under Simulator Misspecification

   Vincent D. Zaballa and Elliot E. Hui

   2026

   arXiv Bib Website

   @misc{zaballa2026scalable,
     title = {Scalable Diffusion SBI for Compositional Inference under Simulator Misspecification},
     author = {Zaballa, Vincent D. and Hui, Elliot E.},
     year = {2026},
     archiveprefix = {arXiv},
   }

2. MetaBOED: Agentic Control of Inference and Experimental Design under Simulator Uncertainty

   Vincent D. Zaballa^* and Eric Bourgain-Chang^*

   2026

   In preparation
3. UAI

   Optimizing Likelihoods via Mutual Information: Bridging Simulation-Based Inference and Bayesian Optimal Experimental Design

   Vincent D. Zaballa and Elliot E. Hui

   In Conference on Uncertainty in Artificial Intelligence (UAI), 2026

   arXiv Bib Code

   @inproceedings{zaballa2025optimizinglikelihoodsmutualinformation,
     title = {Optimizing Likelihoods via Mutual Information: Bridging Simulation-Based Inference and Bayesian Optimal Experimental Design},
     author = {Zaballa, Vincent D. and Hui, Elliot E.},
     booktitle = {Conference on Uncertainty in Artificial Intelligence (UAI)},
     year = {2026},
     archiveprefix = {arXiv},
     primaryclass = {stat.ML},
   }

2024

1. MLSB @ NeurIPS

   Systems-Structure-Based Drug Design

   Vincent D. Zaballa and Elliot E. Hui

   In NeurIPS MLSB Workshop, 2024

   Reviewer #2: "...a novel new idea with a complete pipeline for structure based drug design."

   arXiv Bib

   @inproceedings{zaballa2024systems,
     title = {Systems-Structure-Based Drug Design},
     author = {Zaballa, Vincent D. and Hui, Elliot E.},
     booktitle = {NeurIPS MLSB Workshop},
     year = {2024},
     archiveprefix = {arXiv},
   }

2. ML4LMS @ ICML

   Reducing Uncertainty Through Mutual Information in Structural and Systems Biology

   Vincent D. Zaballa and Elliot E. Hui

   In ICML ML4LMS Workshop, 2024

   Reviewer scores: 9 / 9 / 3 · median 9 (5th of 68 accepted papers, 141 submitted) · mean 7.0 (workshop mean 6.9)

   arXiv Bib

   @inproceedings{zaballa2024reducing,
     title = {Reducing Uncertainty Through Mutual Information in Structural and Systems Biology},
     author = {Zaballa, Vincent D. and Hui, Elliot E.},
     booktitle = {ICML ML4LMS Workshop},
     year = {2024},
     archiveprefix = {arXiv},
   }

2023

1. GenBio @ NeurIPS

   Approximation of Intractable Likelihood Functions in Systems Biology via Normalizing Flows

   Vincent D. Zaballa and Elliot E. Hui

   In NeurIPS GenBio Workshop, 2023

   arXiv Bib

   @inproceedings{zaballa2023approximationintractablelikelihoodfunctions,
     title = {Approximation of Intractable Likelihood Functions in Systems Biology via Normalizing Flows},
     author = {Zaballa, Vincent D. and Hui, Elliot E.},
     booktitle = {NeurIPS GenBio Workshop},
     year = {2023},
     archiveprefix = {arXiv},
     primaryclass = {q-bio.QM},
   }

2. DAE @ ICML

   Stochastic Gradient Bayesian Optimal Experimental Designs for Simulation-based Inference

   Vincent D. Zaballa and Elliot E. Hui

   In ICML Differentiable Almost Everything Workshop, 2023

   arXiv Bib

   @inproceedings{zaballa2023stochastic,
     title = {Stochastic Gradient Bayesian Optimal Experimental Designs for Simulation-based Inference},
     author = {Zaballa, Vincent D. and Hui, Elliot E.},
     booktitle = {ICML Differentiable Almost Everything Workshop},
     year = {2023},
     archiveprefix = {arXiv},
   }

2022

1. CompBio @ ICML

   An Optimal Likelihood Free Method for Biological Model Selection

   Vincent D. Zaballa and Elliot E. Hui

   In ICML Workshop on Computational Biology, 2022

   arXiv Bib

   @inproceedings{zaballa2022optimallikelihoodfreemethod,
     title = {An Optimal Likelihood Free Method for Biological Model Selection},
     author = {Zaballa, Vincent D. and Hui, Elliot E.},
     booktitle = {ICML Workshop on Computational Biology},
     year = {2022},
     archiveprefix = {arXiv},
     primaryclass = {q-bio.QM},
   }

2021

1. LMRL @ NeurIPS

   Optimal Design of Experiments for Simulation-Based Inference of Mechanistic Acyclic Biological Networks

   Vincent D. Zaballa and Elliot E. Hui

   In NeurIPS Learning Meaningful Representations of Life Workshop, 2021

   arXiv Bib

   @inproceedings{zaballa2021optimaldesignexperimentssimulationbased,
     title = {Optimal Design of Experiments for Simulation-Based Inference of Mechanistic Acyclic Biological Networks},
     author = {Zaballa, Vincent D. and Hui, Elliot E.},
     booktitle = {NeurIPS Learning Meaningful Representations of Life Workshop},
     year = {2021},
     archiveprefix = {arXiv},
     primaryclass = {q-bio.QM},
   }

2015

1. ASME

   A Novel Tissue Welding Device Using Low-Voltage Far-Field Coaxial Electrospinning

   Vincent D. Zaballa and Daniel Friedrichs

   Journal of Medical Devices, Sep 2015

   DOI Bib

   @article{zaballa2015electrospin,
     title = {A Novel Tissue Welding Device Using Low-Voltage Far-Field Coaxial Electrospinning},
     author = {Zaballa, Vincent D. and Friedrichs, Daniel},
     journal = {Journal of Medical Devices},
     volume = {9},
     number = {3},
     pages = {030922},
     year = {2015},
     month = sep,
     issn = {1932-6181},
     doi = {10.1115/1.4030556},
     url = {https://doi.org/10.1115/1.4030556},
   }