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Papers matching “optimal estimation” 157

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Machine Learning Optimal Quantum Error Correction Thresholds
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Dominik Seip, Luis Colmenárez, Markus Schmitt, Markus Michael Müller

0

citations
Machine Learning Optimal Quantum Error Correction Thresholds
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Dominik Seip, Luis Colmenárez, Markus Schmitt, Markus Michael Müller

0

citations
Where to Market Flexibility? Optimal Participation of Industrial Energy Systems in Balancing-Power, Day-Ahead, and Continuous Intraday Electricity Markets
2022 arXiv (Cornell University) preprint Engineering Integrated Energy Systems Optimization Open access

Niklas Nolzen, Alissa Ganter, Nils Baumgärtner, Ludger Leenders, André Bardow

8

citations
SLOPE: Search with Learned Optimal Pruning-based Expansion
2024 arXiv (Cornell University) preprint Computer Science Robotic Path Planning Algorithms Open access

Davor Bokan, Zlatan Ajanović, Bakir Lačević

0

citations
Impact of Spatial and Technology Aggregation on Optimal Energy System Design
2021 arXiv (Cornell University) preprint Engineering Integrated Energy Systems Optimization Open access

Shruthi Patil, Leander Kotzur, Detlef Stolten

0

citations
Multimap targeted free energy estimation
2023 arXiv (Cornell University) preprint Computer Science Computational Drug Discovery Methods Open access

Andrea Rizzi, Paolo Carloni, Michele Parrinello

3

citations
Quantum SVR for Chlorophyll Concentration Estimation in Water with Remote Sensing
2022 preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Edoardo Pasetto, Morris Riedel, Farid Melgani, Kristel F. L. Michielsen, Gabriele Cavallaro

0

citations
Quantum SVR for Chlorophyll Concentration Estimation in Water with Remote Sensing
2022 preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Edoardo Pasetto, Morris Riedel, Farid Melgani, Kristel F. L. Michielsen, Gabriele Cavallaro

0

citations
BOP2-ENR: a Bayesian optimal phase II design for adaptive enrichment with family-wise error rate control and a bound on joint-claim power
2026 arXiv (Cornell University) preprint Mathematics Statistical Methods in Clinical Trials Open access

Kentaro Takeda, Belay Birlie Yimer, Masahiro Kojima

0

citations
Scalable method for Bayesian experimental design without integrating over posterior distribution
2023 arXiv (Cornell University) preprint Decision Sciences Optimal Experimental Design Methods Open access

Luis Espath, Sebastian Krumscheid, Raul F. Tempone

0

citations
Integrated Methane Inversion (IMI 1.0): A user-friendly, cloud-based facility for inferring high-resolution methane emissions from TROPOMI satellite observations
2022 preprint Environmental Science Atmospheric and Environmental Gas Dynamics Open access

Daniel J. Varon, Daniel J. Jacob, Melissa Payer Sulprizio, Lucas Estrada, Lu Shen, Sarah E. Hancock, +7 more

9

citations
The 2019 Methane Budget And Uncertainties At 1 Degree Resolution And Each Country Through Bayesian Integration Of GOSAT Total Column Methane Data And A Priori Inventory Estimates
2021 preprint Environmental Science Atmospheric and Environmental Gas Dynamics Open access

John R. Worden, Daniel Cusworth, Zhen Qu, Yi Yin, Yuzhong Zhang, A. Anthony Bloom, +7 more

12

citations
State-dependent Importance Sampling for Estimating Expectations of Functionals of Sums of Independent Random Variables
2022 arXiv (Cornell University) preprint Mathematics Markov Chains and Monte Carlo Methods Open access

Eya Ben Amar, Nadhir Ben Rached, Abdul-Lateef Haji-Ali, Raul F. Tempone

0

citations
Verifying Methane Inventories and Trends With Atmospheric Methane Data
2023 preprint Environmental Science Atmospheric and Environmental Gas Dynamics Open access

John R. Worden, Sudhanshu Pandey, Yuzhong Zhang, Daniel Cusworth, Zhen Qu, A. Anthony Bloom, +7 more

1

citations
Reduced Rank Regression for Mixed Predictor and Response Variables
2024 arXiv (Cornell University) preprint Mathematics Statistical Methods and Applications Open access

Mark de Rooij, Lorenza Cotugno, Roberta Siciliano

0

citations
Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think
2024 arXiv (Cornell University) preprint Computer Science Advanced Vision and Imaging Open access

Christian Schmidt, Daan de Geus, Alexander Hermans, Bastian Leibe

0

citations
Physics Informed Capsule Enhanced Variational AutoEncoder for Underwater Image Enhancement
2025 arXiv (Cornell University) preprint Computer Science Image Enhancement Techniques Open access

Niki Martinel, Rita Pucci

0

citations
Using Gaussian Processes to Design Dynamic Experiments for Black-Box Model Discrimination under Uncertainty
2021 arXiv (Cornell University) preprint Decision Sciences Optimal Experimental Design Methods Open access

Simon Olofsson, Eduardo S. Schultz, Adel Mhamdi, Alexander Mitsos, Marc Peter Deisenroth, Ruth Misener

0

citations
Predicting and correcting the influence of boundary conditions in regional inverse analyses
2025 preprint Environmental Science Atmospheric and Environmental Gas Dynamics Open access

Hannah O. Nesser, K. W. Bowman, Matthew D. Thill, Daniel J. Varon, Cynthia A. Randles, Ashutosh Kumar Tewari, +4 more

1

citations
Local policy search with Bayesian optimization
2021 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Sarah Müller, Alexander von Rohr, Sebastian Trimpe

17

citations
Optimization-Free Diffusion Model -- A Perturbation Theory Approach
2025 arXiv (Cornell University) preprint Computer Science Generative Adversarial Networks and Image Synthesis Open access

Yuehaw Khoo, Mathias Oster

0

citations
To Correct or Not To Correct? Reliability of Psychological Tests and Incremental Predictive Validity from a Statistical Learning Perspective. (This paper was recently published in Behaviometrika: "An out-of-sample perspective on the assessment of incremental predictive validity")
2022 preprint Decision Sciences Psychometric Methodologies and Testing Open access

Bunga Citra Pratiwi, Elise Dusseldorp, Mark de Rooij

0

citations
Sequential Conditional Independence Testing with Machine Learning Models
2026 arXiv (Cornell University) preprint Mathematics Advanced Causal Inference Techniques Open access

Angel Reyero Lobo, Michele Meziu, Sebastian Uriel Arias, P. Grünwald

0

citations
Modularity maximisation for graphons
2021 arXiv (Cornell University) preprint Physics and Astronomy Complex Network Analysis Techniques Open access

Florian Klimm, Nick S. Jones, Michael T. Schaub

1

citations
Online Detection of Changes in Moment-Based Projections: When to Retrain Deep Learners or Update Portfolios?
2023 arXiv (Cornell University) preprint Mathematics Statistical Methods and Inference Open access

Ansgar Steland

0

citations