| How biased is your model? Concentration inequalities, information and model bias K Gourgoulias, MA Katsoulakis, L Rey-Bellet, J Wang IEEE Transactions on Information Theory 66 (5), 3079-3097, 2020 | 29* | 2020 |
| A universal marginalizer for amortized inference in generative models L Douglas, I Zarov, K Gourgoulias, C Lucas, C Hart, A Baker, M Sahani, ... 4th Symposium on Advances in Approximate Bayesian Inference, NeurIPS, 2017 | 25 | 2017 |
| Multiverse: causal reasoning using importance sampling in probabilistic programming Y Perov, L Graham, K Gourgoulias, J Richens, C Lee, A Baker, S Johri Symposium on advances in approximate bayesian inference, 1-36, 2020 | 24 | 2020 |
| Information metrics for long-time errors in splitting schemes for stochastic dynamics and parallel kinetic Monte Carlo K Gourgoulias, MA Katsoulakis, L Rey-Bellet SIAM Journal on Scientific Computing 38 (6), A3808-A3832, 2016 | 7* | 2016 |
| Learning medical triage from clinicians using deep q-learning A Buchard, B Bouvier, G Prando, R Beard, M Livieratos, D Busbridge, ... arXiv preprint arXiv:2003.12828, 2020 | 6 | 2020 |
| Computer implemented determination method and system LH Douglas, P Myshkov, R Walecki, IR Zarov, K Gourgoulias, C Lucas, ... US Patent 11,348,022, 2022 | 5 | 2022 |
| Computer implemented determination method and system LH Douglas, P Myshkov, R Walecki, IR Zarov, K Gourgoulias, C Lucas, ... US Patent 11,328,215, 2022 | 5 | 2022 |
| Information criteria for quantifying loss of reversibility in parallelized KMC K Gourgoulias, MA Katsoulakis, L Rey-Bellet Journal of Computational Physics 328, 438-454, 2017 | 5 | 2017 |
| Masking schemes for universal marginalisers D Gautam, M Lomeli, K Gourgoulias, DH Thompson, S Johri arXiv preprint arXiv:2001.05895, 2020 | 2 | 2020 |
| Tuning semantic consistency of active medical diagnosis: a walk on the semantic simplex A Buchard, K Gourgoulias, A Navarro, M Zwiessele, S Johri Frontier of AI-assisted care, Stanford University, 2019 | 2 | 2019 |
| Universal Marginalizer for Amortised Inference and Embedding of Generative Models SJ Robert Walecki, Albert Buchard, Kostantinos Gourgoulias, Chris Hart ... arXiv preprint arXiv:1811.04727, 2018 | 2 | 2018 |
| DeepClean: Machine Unlearning on the Cheap by Resetting Privacy Sensitive Weights using the Fisher Diagonal J Shi, N Ghalyan, K Gourgoulias, J Buford, S Moran arXiv preprint arXiv:2311.10448, 2023 | 1 | 2023 |
| Computer implemented method and system for running inference queries with a generative model A Baker, A Buchard, K Gourgoulias, C Hart, S Johri, MDL Garcia, C Lucas, ... US Patent App. 16/594,957, 2021 | 1 | 2021 |
| Estimating Class Separability of Datasets Using Persistent Homology with Application to LLM Fine-Tuning N Ghalyan, K Gourgoulias, S Yash, S Moran, M Labonne, J Sabelja arXiv preprint arXiv:2305.15016, 2023 | | 2023 |
| A computer implemented determination method and system LH Douglas, P Myshkov, R Walecki, IR Zarov, K Gourgoulias, C Lucas, ... US Patent App. 16/325,681, 2021 | | 2021 |
| System and Method for Medical Triage Through Deep Q-Learning AJT Buchard, B Bouvier, M Livieratos, R Beard, K Gourgoulias, S Johri, ... US Patent App. 16/849,162, 2021 | | 2021 |
| Dialogue flow using semantic simplexes AJT Buchard, K Gourgoulias, MB Zwiessele, AKW Navarro, S Johri US Patent 11,145,414, 2021 | | 2021 |
| Causal Reasoning and Counterfactual Probabilistic Programming Framework Using Approximate Inference I Perov, LCS Graham, K Gourgoulias, JG Richens, CM Lee, AP Baker, ... US Patent App. 16/944,512, 2021 | | 2021 |
| Universal Marginaliser for Deep Amortised Inference for Probabilistic Programs R Walecki, K Gourgoulias, A Baker, C Hart, C Lucas, M Zwiessele, ... arXiv preprint arXiv:1910.07474, 2019 | | 2019 |
| Information Metrics for Predictive Modeling and Machine Learning K Gourgoulias UMass Amherst, 2017 | | 2017 |
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