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Argenis Arriojas
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Year
Comparative single-cell transcriptional atlases of Babesia species reveal conserved and species-specific expression profiles
Y Rezvani, CD Keroack, B Elsworth, A Arriojas, MJ Gubbels, ...
PLoS Biology 20 (9), e3001816, 2022
82022
FPGA based digital signal processing for high resolution low energy gamma spectrometery
A Arriojas, H Barros, J Walter, L Sajo-Bohus
AIP Conference Proceedings 1607 (1), 65-69, 2014
52014
Utilizing prior solutions for reward shaping and composition in entropy-regularized reinforcement learning
J Adamczyk, A Arriojas, S Tiomkin, RV Kulkarni
Proceedings of the AAAI Conference on Artificial Intelligence 37 (6), 6658-6665, 2023
42023
Bounding the optimal value function in compositional reinforcement learning
J Adamczyk, V Makarenko, A Arriojas, S Tiomkin, RV Kulkarni
Uncertainty in Artificial Intelligence, 22-32, 2023
22023
Entropy regularized reinforcement learning using large deviation theory
A Arriojas, J Adamczyk, S Tiomkin, RV Kulkarni
Physical Review Research 5 (2), 023085, 2023
22023
A Bayesian noisy logic model for inference of transcription factor activity from single cell and bulk transcriptomic data
A Arriojas, S Patalano, J Macoska, K Zarringhalam
NAR Genomics and Bioinformatics 5 (4), lqad106, 2023
12023
Single cell expression and chromatin access of the Toxoplasma gondii lytic cycle identifies AP2XII-8 as an essential pivotal controller of a ribosome regulon
J Lou, Y Rezvani, A Arriojas, D Degras, CD Keroack, M Duraisingh, ...
BioRXiv, 2023.10. 06.561197, 2023
12023
Average-Reward Reinforcement Learning Using Insights from Non-Equilibrium Statistical Mechanics
J Adamczyk, A Arriojas Maldonado, S Tiomkin, R Kulkarni
Bulletin of the American Physical Society, 2024
2024
Bayesian inference approach for entropy regularized reinforcement learning with stochastic dynamics
A Arriojas, J Adamczyk, S Tiomkin, RV Kulkarni
Uncertainty in Artificial Intelligence, 99-109, 2023
2023
Abstract P6-11-14: Mitochondrial structure and function adaptation in residual triple negative breast cancer cells surviving chemotherapy treatment
L Baek, J Lee, KE Pendleton, MJ Berner, E Goff, L Tan, S Martinez, ...
Cancer Research 83 (5_Supplement), P6-11-14-P6-11-14, 2023
2023
Results from a Mapping Between Reinforcement Learning and Non-Equilibrium Statistical Mechanics
J Adamczyk, A Arriojas Maldonado, S Tiomkin, R Kulkarni
APS March Meeting Abstracts 2023, D02. 002, 2023
2023
Analytical Framework for Entropy Regularized Reinforcement Learning Using Probabilistic Inference
AAA Maldonado
University of Massachusetts Boston, 2022
2022
Novel approaches and bounds for maximum entropy reinforcement learning using nonequilibrium statistical mechanics
J Adamczyk, A Arriojas Maldonado, S Tiomkin, R Kulkarni
APS March Meeting Abstracts 2022, D32. 002, 2022
2022
Geochronology of recent sediments from the Cariaco Trench (Venezuela) by Alpha Spectrometry of 210Pb (210Po)
A Arriojas, H Barros, D Palacios, S Hurtado, M Villa, K Pérez, J Alfonso, ...
AIP Conference Proceedings 1265 (1), 403-406, 2010
2010
PHYSICAL REVIEW RESEARCH 5, 023085 (2023)
A Arriojas, J Adamczyk, S Tiomkin, RV Kulkarni
Phys Rev Research 5, 023085, 0
Bounding the Optimal Value Function in Compositional Reinforcement Learning (Supplementary Material)
J Adamczyk, V Makarenko, A Arriojas, S Tiomkin, RV Kulkarni
Quantifying noise in general stochastic models of post-transcriptional regulation of gene expression
A Arriojas, S Inaba, R Kulkarni
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Articles 1–17