Luca Daniel

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 81

Top Venues

CoRR

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.

IEEE Trans. Circuits Syst. I Regul. Pap.

ICML

Publications

Wang Zhang, Ziwen Martin Ma, Subhro Das, Tsui-Wei Lily Weng, Alexandre Megretski, Luca Daniel, Lam M. Nguyen
One Step Closer to Unbiased Aleatoric Uncertainty Estimation. AAAI (2024)
Siddharth Srinivasan Iyer, Frank Ong, Xiaozhi Cao, Congyu Liao, Luca Daniel, Jonathan I. Tamir, Kawin Setsompop
Polynomial Preconditioners for Regularized Linear Inverse Problems. SIAM J. Imaging Sci. 17 (1) (2024)
Alex Gu, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel
Certified Interpretability Robustness for Class Activation Mapping. CoRR (2023)
Wang Zhang, Tsui-Wei Weng, Subhro Das, Alexandre Megretski, Luca Daniel, Lam M. Nguyen
ConCerNet: A Contrastive Learning Based Framework for Automated Conservation Law Discovery and Trustworthy Dynamical System Prediction. CoRR (2023)
Wang Zhang, Tsui-Wei Weng, Subhro Das, Alexandre Megretski, Luca Daniel, Lam M. Nguyen
ConCerNet: A Contrastive Learning Based Framework for Automated Conservation Law Discovery and Trustworthy Dynamical System Prediction. ICML (2023)
Zhengqi Gao, Dinghuai Zhang, Luca Daniel, Duane S. Boning
Rare Event Probability Learning by Normalizing Flows. CoRR (2023)
Cesar Diaz-Londono, Paolo Maffezzoni, Luca Daniel, Giambattista Gruosso
Flexibility of Electric Vehicle Chargers in Residential, Workplace, and Public Locations Based on Real-World Data. EUROCON (2023)
Wang Zhang, Ziwen Ma, Subhro Das, Tsui-Wei Weng, Alexandre Megretski, Luca Daniel, Lam M. Nguyen
One step closer to unbiased aleatoric uncertainty estimation. CoRR (2023)
Xinling Yu, José Enrique Cruz Serrallés, Ilias I. Giannakopoulos, Ziyue Liu, Luca Daniel, Riccardo Lattanzi, Zheng Zhang
PIFON-EPT: MR-Based Electrical Property Tomography Using Physics-Informed Fourier Networks. CoRR (2023)
Ilias I. Giannakopoulos, Georgy D. Guryev, José Enrique Cruz Serrallés, Jan Paska, Bei Zhang, Luca Daniel, Jacob K. White, Christopher M. Collins, Riccardo Lattanzi
A Hybrid Volume-Surface Integral Equation Method for Rapid Electromagnetic Simulations in MRI. IEEE Trans. Biomed. Eng. 70 (1) (2023)
Asaf Gendler, Tsui-Wei Weng, Luca Daniel, Yaniv Romano
Adversarially Robust Conformal Prediction. ICLR (2022)
Wei Liao, Ching-Yun Ko, Tsui-Wei Weng, Luca Daniel, Joel Voldman
Facile Prediction of Neutrophil Activation State from Microscopy Images: A New Dataset and Comparative Deep Learning Approaches. ISBI (2022)
Zhengqi Gao, Fan-Keng Sun, Mingran Yang, Sucheng Ren, Zikai Xiong, Marc Engeler, Antonio Burazer, Linda Wildling, Luca Daniel, Duane S. Boning
Learning from Multiple Annotator Noisy Labels via Sample-Wise Label Fusion. ECCV (24) (2022)
Zhengqi Gao, Fan-Keng Sun, Mingran Yang, Sucheng Ren, Zikai Xiong, Marc Engeler, Antonio Burazer, Linda Wildling, Luca Daniel, Duane S. Boning
Learning from Multiple Annotator Noisy Labels via Sample-wise Label Fusion. CoRR (2022)
Ching-Yun Ko, Jeet Mohapatra, Sijia Liu, Pin-Yu Chen, Luca Daniel, Lily Weng
Revisiting Contrastive Learning through the Lens of Neighborhood Component Analysis: an Integrated Framework. ICML (2022)
Xinling Yu, José Enrique Cruz Serrallés, Ilias I. Giannakopoulos, Ziyue Liu, Luca Daniel, Riccardo Lattanzi, Zheng Zhang
MR-Based Electrical Property Reconstruction Using Physics-Informed Neural Networks. CoRR (2022)
Ilias I. Giannakopoulos, Georgy D. Guryev, José Enrique Cruz Serrallés, Jan Paska, Bei Zhang, Luca Daniel, Jacob K. White, Christopher M. Collins, Riccardo Lattanzi
A hybrid volume-surface integral equation method for rapid electromagnetic simulations in MRI. CoRR (2022)
Ching-Yun Ko, Pin-Yu Chen, Jeet Mohapatra, Payel Das, Luca Daniel
SynBench: Task-Agnostic Benchmarking of Pretrained Representations using Synthetic Data. CoRR (2022)
Akhilan Boopathy, Lily Weng, Sijia Liu, Pin-Yu Chen, Gaoyuan Zhang, Luca Daniel
Fast Training of Provably Robust Neural Networks by SingleProp. AAAI (2021)
Jeet Mohapatra, Ching-Yun Ko, Lily Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel
Hidden Cost of Randomized Smoothing. AISTATS (2021)
Tuomas P. Oikarinen, Wang Zhang, Alexandre Megretski, Luca Daniel, Tsui-Wei Weng
Robust Deep Reinforcement Learning through Adversarial Loss. NeurIPS (2021)
Ching-Yun Ko, Jeet Mohapatra, Sijia Liu, Pin-Yu Chen, Luca Daniel, Lily Weng
Revisiting Contrastive Learning through the Lens of Neighborhood Component Analysis: an Integrated Framework. CoRR (2021)
Ilias I. Giannakopoulos, Georgy D. Guryev, José Enrique Cruz Serrallés, Ioannis P. Georgakis, Luca Daniel, Jacob K. White, Riccardo Lattanzi
Compression of volume-surface integral equation matrices via Tucker decomposition for magnetic resonance applications. CoRR (2021)
Ilias I. Giannakopoulos, José Enrique Cruz Serrallés, Luca Daniel, Daniel K. Sodickson, Athanasios G. Polimeridis, Jacob K. White, Riccardo Lattanzi
Magnetic-Resonance-Based Electrical Property Mapping Using Global Maxwell Tomography With an 8-Channel Head Coil at 7 Tesla: A Simulation Study. IEEE Trans. Biomed. Eng. 68 (1) (2021)
Akhilan Boopathy, Tsui-Wei Weng, Sijia Liu, Pin-Yu Chen, Gaoyuan Zhang, Luca Daniel
Fast Training of Provably Robust Neural Networks by SingleProp. CoRR (2021)
José Enrique Cruz Serrallés, Riccardo Lattanzi, Ilias I. Giannakopoulos, Bei Zhang, Carlotta Ianniello, Martijn A. Cloos, Athanasios G. Polimeridis, Jacob K. White, Daniel K. Sodickson, Luca Daniel
Noninvasive Estimation of Electrical Properties From Magnetic Resonance Measurements via Global Maxwell Tomography and Match Regularization. IEEE Trans. Biomed. Eng. 67 (1) (2020)
Akhilan Boopathy, Sijia Liu, Gaoyuan Zhang, Cynthia Liu, Pin-Yu Chen, Shiyu Chang, Luca Daniel
Proper Network Interpretability Helps Adversarial Robustness in Classification. ICML (2020)
Tsui-Wei Weng, Pu Zhao, Sijia Liu, Pin-Yu Chen, Xue Lin, Luca Daniel
Towards Certificated Model Robustness Against Weight Perturbations. AAAI (2020)
Tommaso Bradde, Samuel Chevalier, Marco De Stefano, Stefano Grivet-Talocia, Luca Daniel
Handling Initial Conditions in Vector Fitting for Real Time Modeling of Power System Dynamics. CoRR (2020)
Samuel Chevalier, Luca Schenato, Luca Daniel
Accelerated Probabilistic Power Flow via Model Order Reduction and Neumann Series Expansion. CoRR (2020)
Samuel Chevalier, Luca Schenato, Luca Daniel
Accelerated Probabilistic State Estimation in Distribution Grids via Model Order Reduction. CoRR (2020)
Akhilan Boopathy, Sijia Liu, Gaoyuan Zhang, Cynthia Liu, Pin-Yu Chen, Shiyu Chang, Luca Daniel
Proper Network Interpretability Helps Adversarial Robustness in Classification. CoRR (2020)
Jeet Mohapatra, Ching-Yun Ko, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel
Higher-Order Certification for Randomized Smoothing. CoRR (2020)
Ching-Yun Ko, Kim Batselier, Luca Daniel, Wenjian Yu, Ngai Wong
Fast and Accurate Tensor Completion With Total Variation Regularized Tensor Trains. IEEE Trans. Image Process. 29 (2020)
Jeet Mohapatra, Ching-Yun Ko, Tsui-Wei Weng, Sijia Liu, Pin-Yu Chen, Luca Daniel
Rethinking Randomized Smoothing for Adversarial Robustness. CoRR (2020)
Jeet Mohapatra, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel
Towards Verifying Robustness of Neural Networks Against A Family of Semantic Perturbations. CVPR (2020)
Tommaso Bradde, Stefano Grivet-Talocia, Giuseppe Carlo Calafiore, Anton V. Proskurnikov, Zohaib Mahmood, Luca Daniel
Bounded Input Dissipativity of Linearized Circuit Models. IEEE Trans. Circuits Syst. I Regul. Pap. (6) (2020)
Simone Genovesi, Ian Richard Butterworth, José Enrique Cruz Serrallés, Luca Daniel
Metasurface Matching Layers for Enhanced Electric Field Penetration Into the Human Body. IEEE Access 8 (2020)
Yuh-Shyang Wang, Lily Weng, Luca Daniel
Neural Network Control Policy Verification With Persistent Adversarial Perturbation. ICML (2020)
Zhaoyang Lyu, Ching-Yun Ko, Zhifeng Kong, Ngai Wong, Dahua Lin, Luca Daniel
Fastened CROWN: Tightened Neural Network Robustness Certificates. AAAI (2020)
Tuomas P. Oikarinen, Tsui-Wei Weng, Luca Daniel
Robust Deep Reinforcement Learning through Adversarial Loss. CoRR (2020)
Jeet Mohapatra, Ching-Yun Ko, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel
Higher-Order Certification For Randomized Smoothing. NeurIPS (2020)
Samuel Chevalier, Kathleen Cavanagh, Konstantin S. Turitsyn, Luca Daniel, Petr Vorobev
Stability Certification Standards for DC Microgrid Networks with Arbitrary Load Configurations. CoRR (2020)
Ching-Yun Ko, Zhaoyang Lyu, Tsui-Wei Weng, Luca Daniel, Ngai Wong, Dahua Lin
POPQORN: Quantifying Robustness of Recurrent Neural Networks. CoRR (2019)
Ching-Yun Ko, Zhaoyang Lyu, Lily Weng, Luca Daniel, Ngai Wong, Dahua Lin
POPQORN: Quantifying Robustness of Recurrent Neural Networks. ICML (2019)
Yuh-Shyang Wang, Tsui-Wei Weng, Luca Daniel
Verification of Neural Network Control Policy Under Persistent Adversarial Perturbation. CoRR (2019)
Lily Weng, Pin-Yu Chen, Lam M. Nguyen, Mark S. Squillante, Akhilan Boopathy, Ivan V. Oseledets, Luca Daniel
PROVEN: Verifying Robustness of Neural Networks with a Probabilistic Approach. ICML (2019)
Zhaoyang Lyu, Ching-Yun Ko, Zhifeng Kong, Ngai Wong, Dahua Lin, Luca Daniel
Fastened CROWN: Tightened Neural Network Robustness Certificates. CoRR (2019)
Jeet Mohapatra, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel
Towards Verifying Robustness of Neural Networks Against Semantic Perturbations. CoRR (2019)
Avilash K. Cramer, Ian Miller, Neal Eichenberg, Juan De Jesus, Luca Daniel, Michela Longo
Power Grid Simulation Considering Electric Vehicles and Renewable Energy Sources. EVER (2019)
Giambattista Gruosso, Giancarlo Storti Gajani, Zheng Zhang, Luca Daniel, Paolo Maffezzoni
Uncertainty-Aware Computational Tools for Power Distribution Networks Including Electrical Vehicle Charging and Load Profiles. IEEE Access 7 (2019)
Akhilan Boopathy, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel
CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Networks. AAAI (2019)
Tsui-Wei Weng, Huan Zhang, Pin-Yu Chen, Aurelie C. Lozano, Cho-Jui Hsieh, Luca Daniel
On Extensions of Clever: A Neural Network Robustness Evaluation Algorithm. GlobalSIP (2018)
Tsui-Wei Weng, Huan Zhang, Hongge Chen, Zhao Song, Cho-Jui Hsieh, Duane S. Boning, Inderjit S. Dhillon, Luca Daniel
Towards Fast Computation of Certified Robustness for ReLU Networks. CoRR (2018)
Akhilan Boopathy, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel
CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Networks. CoRR (2018)
Huan Zhang, Tsui-Wei Weng, Pin-Yu Chen, Cho-Jui Hsieh, Luca Daniel
Efficient Neural Network Robustness Certification with General Activation Functions. NeurIPS (2018)
Tsui-Wei Weng, Huan Zhang, Pin-Yu Chen, Jinfeng Yi, Dong Su, Yupeng Gao, Cho-Jui Hsieh, Luca Daniel
Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach. ICLR (Poster) (2018)
Huan Zhang, Tsui-Wei Weng, Pin-Yu Chen, Cho-Jui Hsieh, Luca Daniel
Efficient Neural Network Robustness Certification with General Activation Functions. CoRR (2018)
Kim Batselier, Wenjian Yu, Luca Daniel, Ngai Wong
Computing Low-Rank Approximations of Large-Scale Matrices with the Tensor Network Randomized SVD. SIAM J. Matrix Anal. Appl. 39 (3) (2018)
Giambattista Gruosso, Roberto Silva Netto, Paolo Maffezzoni, Zheng Zhang, Luca Daniel
Low voltage electrical distribution network analysis under load variation. ICIT (2018)
Alberto Bernardini, Paolo Maffezzoni, Luca Daniel, Augusto Sarti
Wave-Based Analysis of Large Nonlinear Photovoltaic Arrays. IEEE Trans. Circuits Syst. I Regul. Pap. (4) (2018)
Paolo Maffezzoni, Luca Daniel
Exploiting Oscillator Arrays As Randomness Sources for Cryptographic Applications. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37 (12) (2018)
Tsui-Wei Weng, Huan Zhang, Pin-Yu Chen, Jinfeng Yi, Dong Su, Yupeng Gao, Cho-Jui Hsieh, Luca Daniel
Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach. CoRR (2018)
Alberto Bernardini, Augusto Sarti, Paolo Maffezzoni, Luca Daniel
Wave Digital-Based Variability Analysis of Electrical Mismatch in Photovoltaic Arrays. ISCAS (2018)
Tsui-Wei Weng, Huan Zhang, Pin-Yu Chen, Aurelie C. Lozano, Cho-Jui Hsieh, Luca Daniel
On Extensions of CLEVER: A Neural Network Robustness Evaluation Algorithm. CoRR (2018)
Paolo Maffezzoni, Zheng Zhang, Salvatore Levantino, Luca Daniel
Variation-Aware Modeling of Integrated Capacitors Based on Floating Random Walk Extraction. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37 (10) (2018)
Tsui-Wei Weng, Huan Zhang, Hongge Chen, Zhao Song, Cho-Jui Hsieh, Luca Daniel, Duane S. Boning, Inderjit S. Dhillon
Towards Fast Computation of Certified Robustness for ReLU Networks. ICML (2018)
Tsui-Wei Weng, Pin-Yu Chen, Lam M. Nguyen, Mark S. Squillante, Ivan V. Oseledets, Luca Daniel
PROVEN: Certifying Robustness of Neural Networks with a Probabilistic Approach. CoRR (2018)
Michela Longo, Paolo Maffezzoni, Dario Zaninelli, Nina M. Lutz, Luca Daniel
A predictive model to support the widespread diffusion of electric mobility. MT-ITS (2017)
Kim Batselier, Wenjian Yu, Luca Daniel, Ngai Wong
Computing low-rank approximations of large-scale matrices with the Tensor Network randomized SVD. CoRR (2017)
Michela Longo, Nina M. Lutz, Luca Daniel, Dario Zaninelli, Marco Pruckner
Towards an impact study of electric vehicles on the Italian electric power system using simulation techniques. RTSI (2017)
Zheng Zhang, Kim Batselier, Haotian Liu, Luca Daniel, Ngai Wong
Tensor Computation: A New Framework for High-Dimensional Problems in EDA. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 36 (4) (2017)
Luca D'Alessandro, Bichoy Bahr, Luca Daniel, Dana Weinstein, Raffaele Ardito
Shape optimization of solid-air porous phononic crystal slabs with widest full 3D bandgap for in-plane acoustic waves. J. Comput. Phys. 344 (2017)
Yu-Chung Hsiao, Luca Daniel
CAPLET: A Highly Parallelized Field Solver for Capacitance Extraction Using Instantiable Basis Functions. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 35 (3) (2016)
Paolo Maffezzoni, Bichoy Bahr, Zheng Zhang, Luca Daniel
Analysis and Design of Boolean Associative Memories Made of Resonant Oscillator Arrays. IEEE Trans. Circuits Syst. I Regul. Pap. (11) (2016)
Wenjian Yu, Bolong Zhang, Chao Zhang, Haiquan Wang, Luca Daniel
Utilizing macromodels in floating random walk based capacitance extraction. DATE (2016)
Paolo Maffezzoni, Bichoy Bahr, Zheng Zhang, Luca Daniel
Reducing Phase Noise in Multi-Phase Oscillators. IEEE Trans. Circuits Syst. I Regul. Pap. (3) (2016)
Jorge Fernandez Villena, Athanasios G. Polimeridis, Yigitcan Eryaman, Elfar Adalsteinsson, Lawrence L. Wald, Jacob K. White, Luca Daniel
Fast Electromagnetic Analysis of MRI Transmit RF Coils Based on Accelerated Integral Equation Methods. IEEE Trans. Biomed. Eng. 63 (11) (2016)
Zheng Zhang, Tsui-Wei Weng, Luca Daniel
A Big-Data Approach to Handle Process Variations: Uncertainty Quantification by Tensor Recovery. CoRR (2016)
Zheng Zhang, Kim Batselier, Haotian Liu, Luca Daniel, Ngai Wong
Tensor Computation: A New Framework for High-Dimensional Problems in EDA. CoRR (2016)
Zheng Zhang, Tsui-Wei Weng, Luca Daniel
A Big-Data Approach to Handle Many Process Variations: Tensor Recovery and Applications. CoRR (2016)
Zheng Zhang, Hung D. Nguyen, Konstantin S. Turitsyn, Luca Daniel
Probabilistic Power Flow Computation via Low-Rank and Sparse Tensor Recovery. CoRR (2015)
Paolo Maffezzoni, Bichoy Bahr, Zheng Zhang, Luca Daniel
Analysis and Design of Weakly Coupled LC Oscillator Arrays Based on Phase-Domain Macromodels. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 34 (1) (2015)
Paolo Maffezzoni, Bichoy Bahr, Zheng Zhang, Luca Daniel
Oscillator Array Models for Associative Memory and Pattern Recognition. IEEE Trans. Circuits Syst. I Regul. Pap. (6) (2015)
Haotian Liu, Luca Daniel, Ngai Wong
Model Reduction and Simulation of Nonlinear Circuits via Tensor Decomposition. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 34 (7) (2015)
Paolo Maffezzoni, Luca Daniel, Nikhil Shukla, Suman Datta, Arijit Raychowdhury
Modeling and Simulation of Vanadium Dioxide Relaxation Oscillators. IEEE Trans. Circuits Syst. I Regul. Pap. (9) (2015)
Haotian Liu, Xiaoyan Y. Z. Xiong, Kim Batselier, Lijun Jiang, Luca Daniel, Ngai Wong
STAVES: Speedy Tensor-Aided Volterra-Based Electronic Simulator. ICCAD (2015)
Zheng Zhang, Xiu Yang, Ivan V. Oseledets, George E. Karniadakis, Luca Daniel
Enabling High-Dimensional Hierarchical Uncertainty Quantification by ANOVA and Tensor-Train Decomposition. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 34 (1) (2015)
Zheng Zhang, Xiu Yang, Giovanni Marucci, Paolo Maffezzoni, Ibrahim Abe M. Elfadel, George E. Karniadakis, Luca Daniel
Stochastic testing simulator for integrated circuits and MEMS: Hierarchical and sparse techniques. CICC (2014)
Zohaib Mahmood, Stefano Grivet-Talocia, Alessandro Chinea, Giuseppe Carlo Calafiore, Luca Daniel
Efficient Localization Methods for Passivity Enforcement of Linear Dynamical Models. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 33 (9) (2014)
Athanasios G. Polimeridis, Jorge Fernandez Villena, Luca Daniel, Jacob K. White
Stable FFT-JVIE solvers for fast analysis of highly inhomogeneous dielectric objects. J. Comput. Phys. 269 (2014)
Zheng Zhang, Tarek A. El-Moselhy, Ibrahim M. Elfadel, Luca Daniel
Calculation of Generalized Polynomial-Chaos Basis Functions and Gauss Quadrature Rules in Hierarchical Uncertainty Quantification. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 33 (5) (2014)
Zheng Zhang, Xiu Yang, Giovanni Marucci, Paolo Maffezzoni, Ibrahim M. Elfadel, George E. Karniadakis, Luca Daniel
Stochastic Testing Simulator for Integrated Circuits and MEMS: Hierarchical and Sparse Techniques. CoRR (2014)
Zheng Zhang, Ibrahim M. Elfadel, Luca Daniel
Uncertainty Quantification for Integrated Circuits: Stochastic Spectral Methods. CoRR (2014)
Paolo Maffezzoni, Zheng Zhang, Luca Daniel
A Study of Deterministic Jitter in Crystal Oscillators. IEEE Trans. Circuits Syst. I Regul. Pap. (4) (2014)
Zheng Zhang, Tarek A. El-Moselhy, Ibrahim M. Elfadel, Luca Daniel
Calculation of Generalized Polynomial-Chaos Basis Functions and Gauss Quadrature Rules in Hierarchical Uncertainty Quantification. CoRR (2014)
Zheng Zhang, Tarek A. El-Moselhy, Ibrahim M. Elfadel, Luca Daniel
Stochastic Testing Method for Transistor-Level Uncertainty Quantification Based on Generalized Polynomial Chaos. CoRR (2014)
Zheng Zhang, Xiu Yang, Ivan V. Oseledets, George E. Karniadakis, Luca Daniel
Enabling High-Dimensional Hierarchical Uncertainty Quantification by ANOVA and Tensor-Train Decomposition. CoRR (2014)
Niloofar Farnoosh, Athanasios G. Polimeridis, Thomas J. Klemas, Luca Daniel
Accelerated domain decomposition FEM-BEM solver for magnetic resonance imaging (MRI) via discrete empirical interpolation method. VLSI-DAT (2014)
Zheng Zhang, Tarek A. El-Moselhy, Paolo Maffezzoni, Ibrahim M. Elfadel, Luca Daniel
Efficient Uncertainty Quantification for the Periodic Steady State of Forced and Autonomous Circuits. CoRR (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Luca Daniel