publications
publications by categories in reversed chronological order. generated by jekyll-scholar.
2024
- Estimating class separability of text embeddings with persistent homology.Transactions on Machine Learning Research, 2024
- DeepClean: Machine Unlearning on the Cheap by Resetting Privacy Sensitive Weights using the Fisher DiagonalarXiv preprint arXiv:2311.10448, 2024Presented at U&Me Workshop, ECCV 2024.
2022
- Computer implemented determination method and systemMay 2022US Patent 11,328,215
- Computer implemented determination method and systemMay 2022US Patent 11,348,022
2021
- Dialogue flow using semantic simplexesOct 2021US Patent 11,145,414
- Computer implemented method and system for running inference queries with a generative modelApr 2021US Patent App. 16/594,957
- Causal Reasoning and Counterfactual Probabilistic Programming Framework Using Approximate InferenceApr 2021US Patent App. 16/944,512
- System and Method for Medical Triage Through Deep Q-LearningOct 2021US Patent App. 16/849,162
- A computer implemented determination method and systemNov 2021US Patent App. 16/325,681
2020
- Multiverse: causal reasoning using importance sampling in probabilistic programmingIn Symposium on advances in approximate bayesian inference , Nov 2020
- Masking schemes for universal marginalisersarXiv preprint arXiv:2001.05895, Nov 2020
- Learning medical triage from clinicians using deep q-learningarXiv preprint arXiv:2003.12828, Nov 2020
- How biased is your model? Concentration inequalities, information and model biasIEEE Transactions on Information Theory, Nov 2020
2019
- Tuning semantic consistency of active medical diagnosis: a walk on the semantic simplexIn Frontier of AI-assisted care, Stanford University , Nov 2019
- Universal Marginaliser for Deep Amortised Inference for Probabilistic ProgramsarXiv preprint arXiv:1910.07474, Nov 2019
2018
- Universal Marginalizer for Amortised Inference and Embedding of Generative ModelsNov 2018
2017
- Information criteria for quantifying loss of reversibility in parallelized KMCJournal of Computational Physics, Nov 2017
- A universal marginalizer for amortized inference in generative modelsIn 4th Symposium on Advances in Approximate Bayesian Inference, NeurIPS , Nov 2017
- Information Metrics for Predictive Modeling and Machine LearningUMass Amherst , Nov 2017
2016
- Information metrics for long-time errors in splitting schemes for stochastic dynamics and parallel kinetic Monte CarloSIAM Journal on Scientific Computing, Nov 2016