publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2023

  1. Estimating Class Separability of Datasets Using Persistent Homology with Application to LLM Fine-Tuning
    Najah Ghalyan , Kostis Gourgoulias , Satsangi Yash , and 3 more authors
    arXiv preprint arXiv:2305.15016, 2023
  2. DeepClean: Machine Unlearning on the Cheap by Resetting Privacy Sensitive Weights using the Fisher Diagonal
    Jiaeli Shi , Najah Ghalyan , Kostis Gourgoulias , and 2 more authors
    arXiv preprint arXiv:2311.10448, 2023

2022

  1. Computer implemented determination method and system
    Laura Helen Douglas , Pavel Myshkov , Robert Walecki , and 8 more authors
    May 2022
    US Patent 11,328,215
  2. Computer implemented determination method and system
    Laura Helen Douglas , Pavel Myshkov , Robert Walecki , and 8 more authors
    May 2022
    US Patent 11,348,022

2021

  1. Dialogue flow using semantic simplexes
    Albert James Thomas Buchard , Konstantinos Gourgoulias , Max Benjamin Zwiessele , and 2 more authors
    Oct 2021
    US Patent 11,145,414
  2. Computer implemented method and system for running inference queries with a generative model
    Adam Baker , Albert Buchard , Konstantinos Gourgoulias , and 8 more authors
    Apr 2021
    US Patent App. 16/594,957
  3. Causal Reasoning and Counterfactual Probabilistic Programming Framework Using Approximate Inference
    Iurii Perov , Logan Christopher Sherwin Graham , Konstantinos Gourgoulias , and 4 more authors
    Apr 2021
    US Patent App. 16/944,512
  4. System and Method for Medical Triage Through Deep Q-Learning
    Albert James Thomas Buchard , Baptiste Bouvier , Michail Livieratos , and 4 more authors
    Oct 2021
    US Patent App. 16/849,162
  5. A computer implemented determination method and system
    Laura Helen Douglas , Pavel Myshkov , Robert Walecki , and 8 more authors
    Nov 2021
    US Patent App. 16/325,681

2020

  1. Multiverse: causal reasoning using importance sampling in probabilistic programming
    Yura Perov , Logan Graham , Kostis Gourgoulias , and 4 more authors
    In Symposium on advances in approximate bayesian inference , Nov 2020
  2. Masking schemes for universal marginalisers
    Divya Gautam , Maria Lomeli , Kostis Gourgoulias , and 2 more authors
    arXiv preprint arXiv:2001.05895, Nov 2020
  3. Learning medical triage from clinicians using deep q-learning
    Albert Buchard , Baptiste Bouvier , Giulia Prando , and 8 more authors
    arXiv preprint arXiv:2003.12828, Nov 2020
  4. How biased is your model? Concentration inequalities, information and model bias
    Konstantinos Gourgoulias , Markos A Katsoulakis , Luc Rey-Bellet , and 1 more author
    IEEE Transactions on Information Theory, Nov 2020

2019

  1. Tuning semantic consistency of active medical diagnosis: a walk on the semantic simplex
    Albert Buchard , Konstantinos Gourgoulias , Alexandre Navarro , and 2 more authors
    In Frontier of AI-assisted care, Stanford University , Nov 2019
  2. Universal Marginaliser for Deep Amortised Inference for Probabilistic Programs
    Robert Walecki , Kostis Gourgoulias , Adam Baker , and 7 more authors
    arXiv preprint arXiv:1910.07474, Nov 2019

2018

  1. Universal Marginalizer for Amortised Inference and Embedding of Generative Models
    Nov 2018

2017

  1. Information criteria for quantifying loss of reversibility in parallelized KMC
    Konstantinos Gourgoulias , Markos A Katsoulakis , and Luc Rey-Bellet
    Journal of Computational Physics, Nov 2017
  2. A universal marginalizer for amortized inference in generative models
    Laura Douglas , Iliyan Zarov , Konstantinos Gourgoulias , and 6 more authors
    In 4th Symposium on Advances in Approximate Bayesian Inference, NeurIPS , Nov 2017
  3. Information Metrics for Predictive Modeling and Machine Learning
    Kostantinos Gourgoulias
    UMass Amherst , Nov 2017

2016

  1. Information metrics for long-time errors in splitting schemes for stochastic dynamics and parallel kinetic Monte Carlo
    Konstantinos Gourgoulias , Markos A Katsoulakis , and Luc Rey-Bellet
    SIAM Journal on Scientific Computing, Nov 2016