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Inaki Esnaola
Iñaki Esnaola
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- affiliation: University of Sheffield, UK
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2020 – today
- 2024
- [j18]Xinying Zou
, Samir M. Perlaza
The Worst-Case Data-Generating Probability Measure in Statistical Learning. IEEE J. Sel. Areas Inf. Theory 5: 175-189 (2024) - [j17]Samir M. Perlaza
Empirical Risk Minimization With Relative Entropy Regularization. IEEE Trans. Inf. Theory 70(7): 5122-5161 (2024) - [c34]Xinying Zou, Samir M. Perlaza, Iñaki Esnaola, Eitan Altman:
Generalization Analysis of Machine Learning Algorithms via the Worst-Case Data-Generating Probability Measure. AAAI 2024: 17271-17279 - [c33]Francisco Daunas, Iñaki Esnaola, Samir M. Perlaza, H. Vincent Poor:
Equivalence of Empirical Risk Minimization to Regularization on the Family of $f- \text{Divergences}$. ISIT 2024: 759-764 - [i30]Francisco Daunas, Iñaki Esnaola, Samir M. Perlaza, H. Vincent Poor:
Equivalence of the Empirical Risk Minimization to Regularization on the Family of f-Divergences. CoRR abs/2402.00501 (2024) - [i29]George Crowley, Inaki Esnaola:
Submodularity of Mutual Information for Multivariate Gaussian Sources with Additive Noise. CoRR abs/2409.03541 (2024) - 2023
- [j16]Ke Sun
Asymptotic Learning Requirements for Stealth Attacks on Linearized State Estimation. IEEE Trans. Smart Grid 14(4): 3189-3200 (2023) - [j15]Xiuzhen Ye
Stealth Data Injection Attacks With Sparsity Constraints. IEEE Trans. Smart Grid 14(4): 3201-3209 (2023) - [c32]Samir M. Perlaza, Iñaki Esnaola, Gaetan Bisson, H. Vincent Poor:
On the Validation of Gibbs Algorithms: Training Datasets, Test Datasets and their Aggregation. ISIT 2023: 328-333 - [c31]Francisco Daunas, Iñaki Esnaola, Samir M. Perlaza, H. Vincent Poor:
Analysis of the Relative Entropy Asymmetry in the Regularization of Empirical Risk Minimization. ISIT 2023: 340-345 - [i28]Francisco Daunas, Iñaki Esnaola, Samir M. Perlaza, H. Vincent Poor:
Analysis of the Relative Entropy Asymmetry in the Regularization of Empirical Risk Minimization. CoRR abs/2306.07123 (2023) - [i27]Samir M. Perlaza, Iñaki Esnaola, Gaetan Bisson, H. Vincent Poor:
On the Validation of Gibbs Algorithms: Training Datasets, Test Datasets and their Aggregation. CoRR abs/2306.12380 (2023) - [i26]Xinying Zou, Samir M. Perlaza, Iñaki Esnaola, Eitan Altman:
Generalization Analysis of Machine Learning Algorithms via the Worst-Case Data-Generating Probability Measure. CoRR abs/2312.12236 (2023) - 2022
- [j14]Zak Hodgson
Model-Based Optimal Adaptive Monitoring of Oil Spills. IEEE Trans. Control. Syst. Technol. 30(5): 2115-2130 (2022) - [j13]Jonathan Monsalve
Covariance Estimation From Compressive Data Partitions Using a Projected Gradient-Based Algorithm. IEEE Trans. Image Process. 31: 4817-4827 (2022) - [c30]Samir M. Perlaza, Gaetan Bisson
Empirical Risk Minimization with Relative Entropy Regularization: Optimality and Sensitivity Analysis. ISIT 2022: 684-689 - [c29]Jonathan Monsalve, Miguel Marquez, Karen Sanchez, Carlos Hinojosa, Iñaki Esnaola, Henry Arguello:
Cocosvi: Single Snapshot Compressive Spectral Video Via Covariance Matrix Estimation. WHISPERS 2022: 1-6 - [i25]Xiuzhen Ye, Iñaki Esnaola, Samir M. Perlaza, Robert F. Harrison:
Stealth Data Injection Attacks with Sparsity Constraints. CoRR abs/2201.00065 (2022) - [i24]Samir M. Perlaza, Gaetan Bisson
Empirical Risk Minimization with Relative Entropy Regularization: Optimality and Sensitivity Analysis. CoRR abs/2202.04385 (2022) - [i23]Xiuzhen Ye, Iñaki Esnaola, Samir M. Perlaza, Robert F. Harrison:
Power Injection Measurements are more Vulnerable to Data Integrity Attacks than Power Flow Measurements. CoRR abs/2207.06973 (2022) - [i22]Xiuzhen Ye, Iñaki Esnaola, Samir M. Perlaza, Robert F. Harrison:
An information theoretic vulnerability metric for data integrity attacks on smart grids. CoRR abs/2211.02538 (2022) - [i21]Samir M. Perlaza, Gaetan Bisson, Iñaki Esnaola, Alain Jean-Marie, Stefano Rini:
Empirical Risk Minimization with Generalized Relative Entropy Regularization. CoRR abs/2211.06617 (2022) - 2021
- [c28]Jonathan Monsalve, Miguel Marquez, Iñaki Esnaola, Henry Arguello:
Compressive Covariance Matrix Estimation from a Dual-Dispersive Coded Aperture Spectral Imager. ICIP 2021: 2823-2827 - [i20]Iñaki Esnaola, Samir M. Perlaza, Ke Sun:
Data-Injection Attacks. CoRR abs/2102.01925 (2021) - [i19]Ke Sun, Iñaki Esnaola, Antonia M. Tulino, H. Vincent Poor:
Asymptotic Learning Requirements for Stealth Attacks. CoRR abs/2112.14698 (2021) - 2020
- [j12]Stefan M. Trenkwalder
SwarmCom: an infra-red-based mobile ad-hoc network for severely constrained robots. Auton. Robots 44(1): 93-114 (2020) - [j11]Ke Sun
Stealth Attacks on the Smart Grid. IEEE Trans. Smart Grid 11(2): 1276-1285 (2020) - [c27]Xiuzhen Ye, Iñaki Esnaola, Samir M. Perlaza, Robert F. Harrison:
Information Theoretic Data Injection Attacks with Sparsity Constraints. SmartGridComm 2020: 1-6 - [i18]Xiuzhen Ye, Iñaki Esnaola, Samir M. Perlaza, Robert F. Harrison:
Information Theoretic Data Injection Attacks with Sparsity Constraints. CoRR abs/2007.02764 (2020)
2010 – 2019
- 2019
- [j10]Cristian Genes
Robust Recovery of Missing Data in Electricity Distribution Systems. IEEE Trans. Smart Grid 10(4): 4057-4067 (2019) - [c26]Cristian Genes, Iñaki Esnaola
Recovery of Missing Data in Correlated Smart Grid Datasets. DSW 2019: 263-269 - [c25]Ke Sun
Learning Requirements for Stealth Attacks. ICASSP 2019: 8102-8106 - [c24]Miguel Arrieta, Iñaki Esnaola, Michelle Effros:
Universal Privacy Guarantees for Smart Meters. ISIT 2019: 2154-2158 - [i17]Ke Sun, Iñaki Esnaola, Antonia M. Tulino, H. Vincent Poor:
Learning requirements for stealth attacks. CoRR abs/1902.08222 (2019) - [i16]Miguel Arrieta, Iñaki Esnaola, Michelle Effros:
Universal Mutual Information Privacy Guarantees for Smart Meters. CoRR abs/1905.00111 (2019) - [i15]Zak Hodgson, David Browne, Inaki Esnaola, Bryn Jones:
A combined ocean and oil model for model-based adaptive monitoring. CoRR abs/1910.12658 (2019) - [i14]William Casbolt, Bryn Jones, Iñaki Esnaola:
Optimal Control over Multiple Input Lossy Channels. CoRR abs/1911.07548 (2019) - [i13]William Casbolt, Iñaki Esnaola, Bryn Jones:
Denial of Service Attacks on Control Systems with Packet Loss. CoRR abs/1911.08148 (2019) - [i12]Zak Hodgson, Inaki Esnaola, Bryn Jones:
Optimal Model-Based Sensor Placement & Adaptive Monitoring Of An Oil Spill. CoRR abs/1911.10823 (2019) - 2018
- [j9]Victor Quintero
When Does Output Feedback Enlarge the Capacity of the Interference Channel? IEEE Trans. Commun. 66(2): 615-628 (2018) - [j8]Victor Quintero
Approximate Capacity Region of the Two-User Gaussian Interference Channel With Noisy Channel-Output Feedback. IEEE Trans. Inf. Theory 64(7): 5326-5358 (2018) - [i11]Ke Sun, Iñaki Esnaola, Samir Medina Perlaza, H. Vincent Poor:
Stealth Attacks on the Smart Grid. CoRR abs/1808.04184 (2018) - 2017
- [c23]Miguel Arrieta, Inaki Esnaola
Smart meter privacy via the trapdoor channel. SmartGridComm 2017: 277-282 - [c22]Ke Sun
Information-theoretic attacks in the smart grid. SmartGridComm 2017: 455-460 - [i10]Cristian Genes, Iñaki Esnaola, Samir Medina Perlaza, Luis F. Ochoa, Daniel Coca:
Robust Recovery of Missing Data in Electricity Distribution Systems. CoRR abs/1708.01583 (2017) - [i9]Miguel Arrieta, Inaki Esnaola:
Smart Meter Privacy via the Trapdoor Channel. CoRR abs/1708.04429 (2017) - [i8]Ke Sun, Inaki Esnaola, Samir Medina Perlaza, H. Vincent Poor:
Information-Theoretic Attacks in the Smart Grid. CoRR abs/1708.07810 (2017) - 2016
- [j7]Mete Ozay, Inaki Esnaola
Machine Learning Methods for Attack Detection in the Smart Grid. IEEE Trans. Neural Networks Learn. Syst. 27(8): 1773-1786 (2016) - [j6]Inaki Esnaola
Maximum Distortion Attacks in Electricity Grids. IEEE Trans. Smart Grid 7(4): 2007-2015 (2016) - [c21]Victor Quintero
When Does Channel-Output Feedback Enlarge the Capacity Region of the Two-User Linear Deterministic Interference Channel? CrownCom 2016: 471-483 - [c20]Victor Quintero
Approximate capacity of the Gaussian interference channel with noisy channel-output feedback. ITW 2016: 474-478 - [c19]Cristian Genes, Inaki Esnaola
Recovering missing data via matrix completion in electricity distribution systems. SPAWC 2016: 1-6 - [c18]Inaki Esnaola
Decentralized MMSE attacks in electricity grids. SSP 2016: 1-5 - [i7]Victor Quintero, Samir Medina Perlaza, Iñaki Esnaola, Jean-Marie Gorce:
Approximated Capacity of the Two-User Gaussian Interference Channel with Noisy Channel-Output Feedback. CoRR abs/1603.07554 (2016) - [i6]Victor Quintero, Samir Medina Perlaza, Iñaki Esnaola, Jean-Marie Gorce:
Approximate Capacity of the Two-User Gaussian Interference Channel with Noisy Channel-Output Feedback. CoRR abs/1608.08907 (2016) - [i5]Victor Quintero, Samir Medina Perlaza, Iñaki Esnaola, Jean-Marie Gorce:
Approximate Capacity Region of the Two-User Gaussian Interference Channel with Noisy Channel-Output Feedback. CoRR abs/1611.05322 (2016) - [i4]Jonathan Ling, Dmitry Chizhik, Antonia M. Tulino, Inaki Esnaola:
Compressed Sensing Algorithms for OFDM Channel Estimation. CoRR abs/1612.07761 (2016) - 2015
- [c17]Aroland Kiring, Naveed Salman, Chao Liu
A shrinkage-based particle filter for tracking with correlated measurements. SDF 2015: 1-6 - [c16]Chao Liu
A Kriging algorithm for location fingerprinting based on received signal strength. SDF 2015: 1-6 - [i3]Mete Ozay, Inaki Esnaola, Fatos T. Yarman-Vural, Sanjeev R. Kulkarni, H. Vincent Poor:
Sparse Attack Construction and State Estimation in the Smart Grid: Centralized and Distributed Models. CoRR abs/1502.04254 (2015) - [i2]Mete Özay, Inaki Esnaola, Fatos T. Yarman-Vural, Sanjeev R. Kulkarni, H. Vincent Poor:
Machine Learning Methods for Attack Detection in the Smart Grid. CoRR abs/1503.06468 (2015) - 2014
- [j5]Zhiguo Ding, Samir Medina Perlaza
Power Allocation Strategies in Energy Harvesting Wireless Cooperative Networks. IEEE Trans. Wirel. Commun. 13(2): 846-860 (2014) - [c15]Inaki Esnaola
Equilibria in data injection attacks. GlobalSIP 2014: 779-783 - 2013
- [j4]Mete Ozay, Inaki Esnaola
Sparse Attack Construction and State Estimation in the Smart Grid: Centralized and Distributed Models. IEEE J. Sel. Areas Commun. 31(7): 1306-1318 (2013) - [j3]Inaki Esnaola
Linear Analog Coding of Correlated Multivariate Gaussian Sources. IEEE Trans. Commun. 61(8): 3438-3447 (2013) - [j2]Augusto Aubry
Achievable Rate Region for Gaussian MIMO MAC With Partial CSI. IEEE Trans. Inf. Theory 59(7): 4139-4170 (2013) - [c14]Inaki Esnaola
A statistical physics approach to the wiretap channel. ISIT 2013: 1332-1336 - [i1]Zhiguo Ding, Samir Medina Perlaza, Inaki Esnaola, H. Vincent Poor:
Power Allocation Strategies in Energy Harvesting Wireless Cooperative Networks. CoRR abs/1307.1630 (2013) - 2012
- [c13]Inaki Esnaola
Channel estimation impact over MIMO-MAC achievable rates. ICC 2012: 2521-2525 - [c12]Inaki Esnaola
Mismatched MMSE estimation of multivariate Gaussian sources. ISIT 2012: 716-720 - [c11]Mete Ozay, Inaki Esnaola
Distributed models for sparse attack construction and state vector estimation in the smart grid. SmartGridComm 2012: 306-311 - [c10]Mete Ozay, Inaki Esnaola
Smarter security in the smart grid. SmartGridComm 2012: 312-317 - 2010
- [j1]Javier Del Ser
Joint Source-Channel Coding of Sources with Memory using Turbo Codes and the Burrows-Wheeler Transform. IEEE Trans. Commun. 58(7): 1984-1992 (2010) - [c9]Inaki Esnaola
Orthogonal Matching Pursuit based recovery for correlated sources with partially disjoint supports. CISS 2010: 1-6
2000 – 2009
- 2009
- [c8]Iñaki Esnaola
Distributed analog coding of correlated Gaussian sources. Allerton 2009: 857-864 - [c7]Inaki Esnaola
Analysis and optimization of distributed linear coding of Gaussian sources. CISS 2009: 9-13 - [c6]Inaki Esnaola
Distributed analog linear coding of correlated Gaussian sources over multiple access channels. ISWCS 2009: 288-292 - 2008
- [c5]Inaki Esnaola
Distributed Compression of Correlated Signals Using Random Projections. DCC 2008: 322-331 - [c4]Inaki Esnaola
MMSE Estimation of Distributely Coded Correlated Gaussian Sources Using Random Projections. GLOBECOM 2008: 3503-3507 - [c3]Javier Garcia-Frías
Distributed compression of correlated real sequences using random projections. ITW 2008: 189-193 - 2007
- [c2]Inaki Esnaola
Exploiting Prior Knowledge in the Recovery of Non-Sparse Signals from Noisy Random Projections. CISS 2007: 731 - [c1]Javier Garcia-Frías
Exploiting Prior Knowledge in The Recovery of Signals from Noisy Random Projections. DCC 2007: 333-342
Coauthor Index
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