Welcome to Lore's Document Repository
Below are works of mine. Also take a look at a compilation of
readings aligned with my interests.
- DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning [link][paper]
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2023, Philosophical Transactions of the Royal Society. Kevin Ellis,
Lionel Wong, Maxwell Nye, Mathias Sablé-Meyer, Luc Cary,
Lore Anaya Pozo, Luke Hewitt, Armando Solar-Lezama, Joshua B. Tenenbaum
- Bridgewater Associates: Building inspectable models at scale [video]
- 2022, AWS re:Invent. Lore Anaya Pozo, Robin Anil, Anthony Pasquariello
- DreamCoder: bootstrapping inductive program synthesis with wake-sleep library learning [link]
- 2021, PLDI. Kevin Ellis, Catherine Wong, Maxwell Nye, Mathias Sablé-Meyer, Lucas Morales, Luke Hewitt, Luc Cary, Armando Solar-Lezama, Joshua B. Tenenbaum
- Library Learning for Neurally-Guided Bayesian Program Induction [link][paper]
- 2018, NeurIPS Spotlight. Kevin Ellis, Lucas Morales, Mathias Sablé-Meyer, Armando Solar-Lezama, Joshua B. Tenenbaum
- On the Representation and Learning of Concepts: Programs, Types, and Bayes [paper]
- 2018, Thesis for Master of Engineering
- Natively run OCaml from Rust [link]
- 2018, Blog Post with Mathias Sablé-Meyer
- Concept Representation in a Type System [workshop][slides]
- 2018, Talk at Learning as Program Induction Workshop, CogSci Conference
- Markov Chain Convergence [paper]
- 2017, Algorithmic Aspects of Machine Learning (18.408) Final Project
- Automatic Least-Effort Contextual Learning [paper][code]
- 2017, SuperUROP Research Project
- Free Software (as in Freedom) [7:52] [mp4][webm]
- 2017, Short Documentary (CMS.335) Final Project
- Learning Expressive Contextual Grammars in Lambda Calculus [paper]
- 2016, Computation and Linguistic Theory (24.S95) Final Project
- Group Sparsity with Probabilistic Feature Clustering [paper][poster]
- 2016, Statistical Learning Theory (9.520) Final Project
- Theory Learning as Informed Stochastic Program Synthesis [paper]
- 2015, Computational Cognitive Science (9.660) Final Project
- Distributed Ambient Environment Sensing [paper]
- 2015, Computer Systems Engineering (6.033) Design Project Report
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