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Isaac Tamblyn
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fintech-kMC: Agent based simulations of financial platforms for design and testing of machine learning systems


Jan 04, 2023
Isaac Tamblyn, Tengkai Yu, Ian Benlolo

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* To appear at AAAI-23 Bridge Program: AI for Financial Services, Washington D.C., February 7 - 8, 2023 
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Training neural networks using Metropolis Monte Carlo and an adaptive variant


May 16, 2022
Stephen Whitelam, Viktor Selin, Ian Benlolo, Isaac Tamblyn

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Machine Learning Diffusion Monte Carlo Energy Densities


May 09, 2022
Kevin Ryczko, Jaron T. Krogel, Isaac Tamblyn

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Cellular automata can classify data by inducing trajectory phase coexistence


Apr 06, 2022
Stephen Whitelam, Isaac Tamblyn

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Generative Enriched Sequential Learning (ESL) Approach for Molecular Design via Augmented Domain Knowledge


Apr 05, 2022
Mohammad Sajjad Ghaemi, Karl Grantham, Isaac Tamblyn, Yifeng Li, Hsu Kiang Ooi

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* 6 pages 
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Learning stochastic dynamics and predicting emergent behavior using transformers


Feb 17, 2022
Corneel Casert, Isaac Tamblyn, Stephen Whitelam

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Dynamic programming with partial information to overcome navigational uncertainty in a nautical environment


Dec 29, 2021
Chris Beeler, Xinkai Li, Mark Crowley, Maia Fraser, Isaac Tamblyn

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* 9 pages, 4 figures 
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Scientific Discovery and the Cost of Measurement -- Balancing Information and Cost in Reinforcement Learning


Dec 14, 2021
Colin Bellinger, Andriy Drozdyuk, Mark Crowley, Isaac Tamblyn

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* To appear in: 1st Annual AAAI Workshop on AI to Accelerate Science and Engineering (AI2ASE) 
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Twin Neural Network Regression is a Semi-Supervised Regression Algorithm


Jun 11, 2021
Sebastian J. Wetzel, Roger G. Melko, Isaac Tamblyn

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