Policy optimization of language models to align fidelity and efficiency of generative retrieval in multi-turn dialogues
Jeremy Curuksu
KDD, Barcelona, Spain, 2024 [PDF]


Workforce Planning Policy Optimization with Trajectory Transfomer
Jimmy Rigby, Peter Zhu, Nooshin Yousefi, Jeremy Curuksu
AMLC, 12th Amazon ML Conference, 2024 [PDF]


Quantifying and reducing bias in treatment effect estimates from multi-armed bandits
Jimmy Rigby, Jeremy Curuksu
SIOP (Society for Industrial and Organizational Psychology) Annual Conference, Chicago, USA, 2024


Optimizing Chatbots Fallback Intents Selection with Reinforcement Learning
Jeremy Curuksu
Proceedings of the 40th ICML, Hawaii, USA, 2023 [PDF]


A method to measure the Markov property in offline reinforcement learning
Charles Prosper, Jeremy Curuksu
AMLC, 11th Amazon ML Conference, 2023 [PDF]

Is it Markov? Data-driven reinforcement learning
Jeremy Curuksu
INFORMS annual meeting, Phoenix, 2023 [Invited Speaker]


Learning to read like a human: Reinforcement learning for natural language processing
Jeremy Curuksu
INFORMS annual meeting, Phoenix, 2023 [PDF]


From fine-grain to coarse-grain modeling: Estimating kinetic parameters of DNA molecules
Jeremy Curuksu
J Math Biol (in press), 2023 [PDF]


Spectral analysis of DNA superhelical dynamics from molecular minicircle simulations
Jeremy Curuksu
J Chem Phys, 159(10):105101, 2023 [PDF]


Graph Transformer for workforce planning
Jimmy Rigby, Jeremy Curuksu
AMLC, 10th Amazon ML Conference, 2022 [PDF]


Automating financial decision making with deep reinforcement learning
Jeremy Curuksu
AWS AI Blog, 2019 [PDF]


Developing a business strategy by combining machine learning with sensitivity analysis
Jeremy Curuksu
AWS AI Blog, 2019 [PDF]


Forecasting financial time series with dynamic deep learning
Jeremy Curuksu
AWS AI Blog, 2018 [PDF]


Deploy machine learning models on AWS Sagemaker
Jeremy Curuksu
AWS Ten Minute Tutorials, 2018 [PDF]


Data Driven [Book]
Jeremy Curuksu
Management for Professionals, Springer, New York, 2018 [PDF]


Principles of Data Science: Advanced [Book Chapter]
Jeremy Curuksu
In Data Driven, Management for Professionals, Springer, 2017 [PDF]


Principles of Data Science: Primer [Book Chapter]
Jeremy Curuksu
In Data Driven, Management for Professionals, Springer, 2017 [PDF]


Graph based Monte-Carlo sampling for approximating global helical topologies of RNA
Namhee Kim, Christian Laing, Shereef Elmetwaly, Segun Jung, Jeremy Curuksu, Tamar Schlick
PNAS, 111: 4079-84, 2014 [PDF]


Adaptive conformational sampling based on replicas
Jeremy Curuksu
J Math Biol, 64: 917-31, 2012 [PDF]


Molecular Dynamics and advanced sampling simulations of nucleic acids [Book Chapter]
Jeremy Curuksu, Srinivasaraghavan Kannan, Martin Zacharias
In Leszczynski (Ed.), Handbook of Computational Chemistry, Springer, New York, p.1155-73, 2012 [PDF]


Local and global effects of strong DNA bending induced during molecular dynamics simulations
Jeremy Curuksu, Martin Zacharias, Richard Lavery, Krystyna Zakrzewska
Nucleic Acids Res, 37: 3766-73, 2009 [PDF]


Enhanced conformational sampling of nucleic acids with Hamiltonian replica exchange molecular dynamics
Jeremy Curuksu, Martin Zacharias
J Chem Phys, 130: 104110, 2009 [PDF]


Elbow flexibility of the kt38 RNA kink-turn motif investigated by free-energy molecular dynamics simulations
Jeremy Curuksu, Jiri Sponer, Martin Zacharias
Biophys J, 97: 2004-13, 2009 [PDF]


Magnitude and direction of DNA bending induced by screw-axis orientation: influence of sequence, mismatch, and abasic site
Jeremy Curuksu, Krystyna Zakrzewska, Martin Zacharias
Nucleic Acids Res, 36: 2268-83, 2008 [PDF]


Conformational sampling by molecular mechanics optimization and dynamics simulations of nucleic acids
Jeremy Curuksu
PhD thesis, Paris 7 University (France) and Jacobs University (Germany), 10.2005 to 12.2008