Luca Daniel - RankMe

152 papers A* 30A 19C 1Misc 1Journal 82Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	SPIPE: Differentiable SPICE-Level Co-Simulation Program for Integrated Photonics and Electronics. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Zhengqi Gao, Jiaqi Gu, Luca Daniel, Ron Rohrer, Duane S. Boning
2025	J	`jnl`	Comprehensive Framework for Energy Consumption Estimation in Electric Vehicles. IEEE Trans. Intell. Transp. Syst. Daniele Martini, Michela Longo, Luca Daniel
2025	Misc	`conf`	Dilated Convolution for Time Series Learning. ICASSP Wang Zhang, Subhro Das, Lam M. Nguyen, Luca Daniel
2025	J	`jnl`	Guaranteeing Conservation of Integrals with Projection in Physics-Informed Neural Networks. CoRR Anthony Baez, Wang Zhang, Ziwen Ma, Lam M. Nguyen, Subhro Das, Luca Daniel
2025	A*	`conf`	Large Language Models can Become Strong Self-Detoxifiers. ICLR Ching-Yun Ko, Pin-Yu Chen, Payel Das, Youssef Mroueh, Soham Dan, Georgios Kollias, Subhajit Chaudhury, Tejaswini Pedapati, Luca Daniel
2025	J	`jnl`	Smart Charging System in a Bus Depot: Cost-Effective Strategy. IEEE Access Daniele Martini, Michela Longo, Luca Daniel
2024	J	`jnl`	Guaranteeing Conservation Laws with Projection in Physics-Informed Neural Networks. CoRR Anthony Baez, Wang Zhang, Ziwen Martin Ma, Subhro Das, Lam M. Nguyen, Luca Daniel
2024	J	`jnl`	Large Language Models can be Strong Self-Detoxifiers. CoRR Ching-Yun Ko, Pin-Yu Chen, Payel Das, Youssef Mroueh, Soham Dan, Georgios Kollias, Subhajit Chaudhury, Tejaswini Pedapati, Luca Daniel
2024	A*	`conf`	NOFIS: Normalizing Flow for Rare Circuit Failure Analysis. DAC Zhengqi Gao, Dinghuai Zhang, Luca Daniel, Duane S. Boning
2024	A*	`conf`	One Step Closer to Unbiased Aleatoric Uncertainty Estimation. AAAI Wang Zhang, Ziwen Martin Ma, Subhro Das, Tsui-Wei Lily Weng, Alexandre Megretski, Luca Daniel, Lam M. Nguyen
2024	J	`jnl`	Polynomial Preconditioners for Regularized Linear Inverse Problems. SIAM J. Imaging Sci. Siddharth Srinivasan Iyer, Frank Ong, Xiaozhi Cao, Congyu Liao, Luca Daniel, Jonathan I. Tamir, Kawin Setsompop
2024	A*	`conf`	What Would Gauss Say About Representations? Probing Pretrained Image Models using Synthetic Gaussian Benchmarks. ICML Ching-Yun Ko, Pin-Yu Chen, Payel Das, Jeet Mohapatra, Luca Daniel
2023	J	`jnl`	A Hybrid Volume-Surface Integral Equation Method for Rapid Electromagnetic Simulations in MRI. IEEE Trans. Biomed. Eng. Ilias I. Giannakopoulos, Georgy D. Guryev, José Enrique Cruz Serrallés, Jan Paska, Bei Zhang, Luca Daniel, Jacob K. White, Christopher M. Collins, Riccardo Lattanzi
2023	J	`jnl`	Certified Interpretability Robustness for Class Activation Mapping. CoRR Alex Gu, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel
2023	A*	`conf`	ConCerNet: A Contrastive Learning Based Framework for Automated Conservation Law Discovery and Trustworthy Dynamical System Prediction. ICML Wang Zhang, Tsui-Wei Weng, Subhro Das, Alexandre Megretski, Luca Daniel, Lam M. Nguyen
2023	J	`jnl`	ConCerNet: A Contrastive Learning Based Framework for Automated Conservation Law Discovery and Trustworthy Dynamical System Prediction. CoRR Wang Zhang, Tsui-Wei Weng, Subhro Das, Alexandre Megretski, Luca Daniel, Lam M. Nguyen
2023	—	`conf`	Flexibility of Electric Vehicle Chargers in Residential, Workplace, and Public Locations Based on Real-World Data. EUROCON Cesar Diaz-Londono, Paolo Maffezzoni, Luca Daniel, Giambattista Gruosso
2023	J	`jnl`	One step closer to unbiased aleatoric uncertainty estimation. CoRR Wang Zhang, Ziwen Martin Ma, Subhro Das, Tsui-Wei Weng, Alexandre Megretski, Luca Daniel, Lam M. Nguyen
2023	J	`jnl`	PIFON-EPT: MR-Based Electrical Property Tomography Using Physics-Informed Fourier Networks. CoRR Xinling Yu, José Enrique Cruz Serrallés, Ilias I. Giannakopoulos, Ziyue Liu, Luca Daniel, Riccardo Lattanzi, Zheng Zhang
2023	J	`jnl`	Rare Event Probability Learning by Normalizing Flows. CoRR Zhengqi Gao, Dinghuai Zhang, Luca Daniel, Duane S. Boning
2022	J	`jnl`	A hybrid volume-surface integral equation method for rapid electromagnetic simulations in MRI. CoRR Ilias I. Giannakopoulos, Georgy D. Guryev, José Enrique Cruz Serrallés, Jan Paska, Bei Zhang, Luca Daniel, Jacob K. White, Christopher M. Collins, Riccardo Lattanzi
2022	A*	`conf`	Adversarially Robust Conformal Prediction. ICLR Asaf Gendler, Tsui-Wei Weng, Luca Daniel, Yaniv Romano
2022	—	`conf`	Facile Prediction of Neutrophil Activation State from Microscopy Images: A New Dataset and Comparative Deep Learning Approaches. ISBI Wei Liao, Ching-Yun Ko, Tsui-Wei Weng, Luca Daniel, Joel Voldman
2022	—	`conf`	Learning from Multiple Annotator Noisy Labels via Sample-Wise Label Fusion. ECCV (24) Zhengqi Gao, Fan-Keng Sun, Mingran Yang, Sucheng Ren, Zikai Xiong, Marc Engeler, Antonio Burazer, Linda Wildling, Luca Daniel, Duane S. Boning
2022	J	`jnl`	Learning from Multiple Annotator Noisy Labels via Sample-wise Label Fusion. CoRR Zhengqi Gao, Fan-Keng Sun, Mingran Yang, Sucheng Ren, Zikai Xiong, Marc Engeler, Antonio Burazer, Linda Wildling, Luca Daniel, Duane S. Boning
2022	J	`jnl`	MR-Based Electrical Property Reconstruction Using Physics-Informed Neural Networks. CoRR Xinling Yu, José Enrique Cruz Serrallés, Ilias I. Giannakopoulos, Ziyue Liu, Luca Daniel, Riccardo Lattanzi, Zheng Zhang
2022	A*	`conf`	Revisiting Contrastive Learning through the Lens of Neighborhood Component Analysis: an Integrated Framework. ICML Ching-Yun Ko, Jeet Mohapatra, Sijia Liu, Pin-Yu Chen, Luca Daniel, Lily Weng
2022	J	`jnl`	SynBench: Task-Agnostic Benchmarking of Pretrained Representations using Synthetic Data. CoRR Ching-Yun Ko, Pin-Yu Chen, Jeet Mohapatra, Payel Das, Luca Daniel
2021	J	`jnl`	Compression of volume-surface integral equation matrices via Tucker decomposition for magnetic resonance applications. CoRR Ilias I. Giannakopoulos, Georgy D. Guryev, José Enrique Cruz Serrallés, Ioannis P. Georgakis, Luca Daniel, Jacob K. White, Riccardo Lattanzi
2021	A*	`conf`	Fast Training of Provably Robust Neural Networks by SingleProp. AAAI Akhilan Boopathy, Lily Weng, Sijia Liu, Pin-Yu Chen, Gaoyuan Zhang, Luca Daniel
2021	J	`jnl`	Fast Training of Provably Robust Neural Networks by SingleProp. CoRR Akhilan Boopathy, Tsui-Wei Weng, Sijia Liu, Pin-Yu Chen, Gaoyuan Zhang, Luca Daniel
2021	A	`conf`	Hidden Cost of Randomized Smoothing. AISTATS Jeet Mohapatra, Ching-Yun Ko, Lily Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel
2021	J	`jnl`	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. Ilias I. Giannakopoulos, José Enrique Cruz Serrallés, Luca Daniel, Daniel K. Sodickson, Athanasios G. Polimeridis, Jacob K. White, Riccardo Lattanzi
2021	J	`jnl`	Revisiting Contrastive Learning through the Lens of Neighborhood Component Analysis: an Integrated Framework. CoRR Ching-Yun Ko, Jeet Mohapatra, Sijia Liu, Pin-Yu Chen, Luca Daniel, Lily Weng
2021	A*	`conf`	Robust Deep Reinforcement Learning through Adversarial Loss. NeurIPS Tuomas P. Oikarinen, Wang Zhang, Alexandre Megretski, Luca Daniel, Tsui-Wei Weng
2020	J	`jnl`	Accelerated Probabilistic Power Flow via Model Order Reduction and Neumann Series Expansion. CoRR Samuel Chevalier, Luca Schenato, Luca Daniel
2020	J	`jnl`	Accelerated Probabilistic State Estimation in Distribution Grids via Model Order Reduction. CoRR Samuel Chevalier, Luca Schenato, Luca Daniel
2020	J	`jnl`	Bounded Input Dissipativity of Linearized Circuit Models. IEEE Trans. Circuits Syst. I Regul. Pap. Tommaso Bradde, Stefano Grivet-Talocia, Giuseppe Carlo Calafiore, Anton V. Proskurnikov, Zohaib Mahmood, Luca Daniel
2020	J	`jnl`	Fast and Accurate Tensor Completion With Total Variation Regularized Tensor Trains. IEEE Trans. Image Process. Ching-Yun Ko, Kim Batselier, Luca Daniel, Wenjian Yu, Ngai Wong
2020	A*	`conf`	Fastened CROWN: Tightened Neural Network Robustness Certificates. AAAI Zhaoyang Lyu, Ching-Yun Ko, Zhifeng Kong, Ngai Wong, Dahua Lin, Luca Daniel
2020	J	`jnl`	Handling Initial Conditions in Vector Fitting for Real Time Modeling of Power System Dynamics. CoRR Tommaso Bradde, Samuel Chevalier, Marco De Stefano, Stefano Grivet-Talocia, Luca Daniel
2020	A*	`conf`	Higher-Order Certification For Randomized Smoothing. NeurIPS Jeet Mohapatra, Ching-Yun Ko, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel
2020	J	`jnl`	Higher-Order Certification for Randomized Smoothing. CoRR Jeet Mohapatra, Ching-Yun Ko, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel
2020	J	`jnl`	Metasurface Matching Layers for Enhanced Electric Field Penetration Into the Human Body. IEEE Access Simone Genovesi, Ian Richard Butterworth, José Enrique Cruz Serrallés, Luca Daniel
2020	A*	`conf`	Neural Network Control Policy Verification With Persistent Adversarial Perturbation. ICML Yuh-Shyang Wang, Lily Weng, Luca Daniel
2020	J	`jnl`	Noninvasive Estimation of Electrical Properties From Magnetic Resonance Measurements via Global Maxwell Tomography and Match Regularization. IEEE Trans. Biomed. Eng. 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
2020	A*	`conf`	Proper Network Interpretability Helps Adversarial Robustness in Classification. ICML Akhilan Boopathy, Sijia Liu, Gaoyuan Zhang, Cynthia Liu, Pin-Yu Chen, Shiyu Chang, Luca Daniel
2020	J	`jnl`	Proper Network Interpretability Helps Adversarial Robustness in Classification. CoRR Akhilan Boopathy, Sijia Liu, Gaoyuan Zhang, Cynthia Liu, Pin-Yu Chen, Shiyu Chang, Luca Daniel
2020	J	`jnl`	Rethinking Randomized Smoothing for Adversarial Robustness. CoRR Jeet Mohapatra, Ching-Yun Ko, Tsui-Wei Weng, Sijia Liu, Pin-Yu Chen, Luca Daniel
2020	J	`jnl`	Robust Deep Reinforcement Learning through Adversarial Loss. CoRR Tuomas P. Oikarinen, Tsui-Wei Weng, Luca Daniel
2020	J	`jnl`	Stability Certification Standards for DC Microgrid Networks with Arbitrary Load Configurations. CoRR Samuel Chevalier, Kathleen Cavanagh, Konstantin S. Turitsyn, Luca Daniel, Petr Vorobev
2020	A*	`conf`	Towards Certificated Model Robustness Against Weight Perturbations. AAAI Tsui-Wei Weng, Pu Zhao, Sijia Liu, Pin-Yu Chen, Xue Lin, Luca Daniel
2020	A*	`conf`	Towards Verifying Robustness of Neural Networks Against A Family of Semantic Perturbations. CVPR Jeet Mohapatra, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel
2019	A*	`conf`	CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Networks. AAAI Akhilan Boopathy, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel
2019	J	`jnl`	Fastened CROWN: Tightened Neural Network Robustness Certificates. CoRR Zhaoyang Lyu, Ching-Yun Ko, Zhifeng Kong, Ngai Wong, Dahua Lin, Luca Daniel
2019	A*	`conf`	POPQORN: Quantifying Robustness of Recurrent Neural Networks. ICML Ching-Yun Ko, Zhaoyang Lyu, Lily Weng, Luca Daniel, Ngai Wong, Dahua Lin
2019	J	`jnl`	POPQORN: Quantifying Robustness of Recurrent Neural Networks. CoRR Ching-Yun Ko, Zhaoyang Lyu, Tsui-Wei Weng, Luca Daniel, Ngai Wong, Dahua Lin
2019	A*	`conf`	PROVEN: Verifying Robustness of Neural Networks with a Probabilistic Approach. ICML Lily Weng, Pin-Yu Chen, Lam M. Nguyen, Mark S. Squillante, Akhilan Boopathy, Ivan V. Oseledets, Luca Daniel
2019	—	`conf`	Power Grid Simulation Considering Electric Vehicles and Renewable Energy Sources. EVER Avilash K. Cramer, Ian Miller, Neal Eichenberg, Juan De Jesus, Luca Daniel, Michela Longo
2019	J	`jnl`	Towards Verifying Robustness of Neural Networks Against Semantic Perturbations. CoRR Jeet Mohapatra, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel
2019	J	`jnl`	Uncertainty-Aware Computational Tools for Power Distribution Networks Including Electrical Vehicle Charging and Load Profiles. IEEE Access Giambattista Gruosso, Giancarlo Storti Gajani, Zheng Zhang, Luca Daniel, Paolo Maffezzoni
2019	J	`jnl`	Verification of Neural Network Control Policy Under Persistent Adversarial Perturbation. CoRR Yuh-Shyang Wang, Tsui-Wei Weng, Luca Daniel
2018	J	`jnl`	CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Networks. CoRR Akhilan Boopathy, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel
2018	J	`jnl`	Computing Low-Rank Approximations of Large-Scale Matrices with the Tensor Network Randomized SVD. SIAM J. Matrix Anal. Appl. Kim Batselier, Wenjian Yu, Luca Daniel, Ngai Wong
2018	A*	`conf`	Efficient Neural Network Robustness Certification with General Activation Functions. NeurIPS Huan Zhang, Tsui-Wei Weng, Pin-Yu Chen, Cho-Jui Hsieh, Luca Daniel
2018	J	`jnl`	Efficient Neural Network Robustness Certification with General Activation Functions. CoRR Huan Zhang, Tsui-Wei Weng, Pin-Yu Chen, Cho-Jui Hsieh, Luca Daniel
2018	—	`conf`	Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach. ICLR (Poster) Tsui-Wei Weng, Huan Zhang, Pin-Yu Chen, Jinfeng Yi, Dong Su, Yupeng Gao, Cho-Jui Hsieh, Luca Daniel
2018	J	`jnl`	Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach. CoRR Tsui-Wei Weng, Huan Zhang, Pin-Yu Chen, Jinfeng Yi, Dong Su, Yupeng Gao, Cho-Jui Hsieh, Luca Daniel
2018	J	`jnl`	Exploiting Oscillator Arrays As Randomness Sources for Cryptographic Applications. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Paolo Maffezzoni, Luca Daniel
2018	—	`conf`	Low voltage electrical distribution network analysis under load variation. ICIT Giambattista Gruosso, Roberto Silva Netto, Paolo Maffezzoni, Zheng Zhang, Luca Daniel
2018	J	`jnl`	On Extensions of CLEVER: A Neural Network Robustness Evaluation Algorithm. CoRR Tsui-Wei Weng, Huan Zhang, Pin-Yu Chen, Aurélie C. Lozano, Cho-Jui Hsieh, Luca Daniel
2018	—	`conf`	On Extensions of Clever: A Neural Network Robustness Evaluation Algorithm. GlobalSIP Tsui-Wei Weng, Huan Zhang, Pin-Yu Chen, Aurélie C. Lozano, Cho-Jui Hsieh, Luca Daniel
2018	J	`jnl`	PROVEN: Certifying Robustness of Neural Networks with a Probabilistic Approach. CoRR Tsui-Wei Weng, Pin-Yu Chen, Lam M. Nguyen, Mark S. Squillante, Ivan V. Oseledets, Luca Daniel
2018	A*	`conf`	Towards Fast Computation of Certified Robustness for ReLU Networks. ICML Tsui-Wei Weng, Huan Zhang, Hongge Chen, Zhao Song, Cho-Jui Hsieh, Luca Daniel, Duane S. Boning, Inderjit S. Dhillon
2018	J	`jnl`	Towards Fast Computation of Certified Robustness for ReLU Networks. CoRR Tsui-Wei Weng, Huan Zhang, Hongge Chen, Zhao Song, Cho-Jui Hsieh, Duane S. Boning, Inderjit S. Dhillon, Luca Daniel
2018	J	`jnl`	Variation-Aware Modeling of Integrated Capacitors Based on Floating Random Walk Extraction. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Paolo Maffezzoni, Zheng Zhang, Salvatore Levantino, Luca Daniel
2018	C	`conf`	Wave Digital-Based Variability Analysis of Electrical Mismatch in Photovoltaic Arrays. ISCAS Alberto Bernardini, Augusto Sarti, Paolo Maffezzoni, Luca Daniel
2018	J	`jnl`	Wave-Based Analysis of Large Nonlinear Photovoltaic Arrays. IEEE Trans. Circuits Syst. I Regul. Pap. Alberto Bernardini, Paolo Maffezzoni, Luca Daniel, Augusto Sarti
2017	—	`conf`	A predictive model to support the widespread diffusion of electric mobility. MT-ITS Michela Longo, Paolo Maffezzoni, Dario Zaninelli, Nina M. Lutz, Luca Daniel
2017	J	`jnl`	Computing low-rank approximations of large-scale matrices with the Tensor Network randomized SVD. CoRR Kim Batselier, Wenjian Yu, Luca Daniel, Ngai Wong
2017	J	`jnl`	Shape optimization of solid-air porous phononic crystal slabs with widest full 3D bandgap for in-plane acoustic waves. J. Comput. Phys. Luca D'Alessandro, Bichoy Bahr, Luca Daniel, Dana Weinstein, Raffaele Ardito
2017	J	`jnl`	Tensor Computation: A New Framework for High-Dimensional Problems in EDA. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Zheng Zhang, Kim Batselier, Haotian Liu, Luca Daniel, Ngai Wong
2017	—	`conf`	Towards an impact study of electric vehicles on the Italian electric power system using simulation techniques. RTSI Michela Longo, Nina M. Lutz, Luca Daniel, Dario Zaninelli, Marco Pruckner
2016	J	`jnl`	A Big-Data Approach to Handle Many Process Variations: Tensor Recovery and Applications. CoRR Zheng Zhang, Tsui-Wei Weng, Luca Daniel
2016	J	`jnl`	A Big-Data Approach to Handle Process Variations: Uncertainty Quantification by Tensor Recovery. CoRR Zheng Zhang, Tsui-Wei Weng, Luca Daniel
2016	J	`jnl`	Analysis and Design of Boolean Associative Memories Made of Resonant Oscillator Arrays. IEEE Trans. Circuits Syst. I Regul. Pap. Paolo Maffezzoni, Bichoy Bahr, Zheng Zhang, Luca Daniel
2016	J	`jnl`	CAPLET: A Highly Parallelized Field Solver for Capacitance Extraction Using Instantiable Basis Functions. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Yu-Chung Hsiao, Luca Daniel
2016	J	`jnl`	Fast Electromagnetic Analysis of MRI Transmit RF Coils Based on Accelerated Integral Equation Methods. IEEE Trans. Biomed. Eng. Jorge Fernandez Villena, Athanasios G. Polimeridis, Yigitcan Eryaman, Elfar Adalsteinsson, Lawrence L. Wald, Jacob K. White, Luca Daniel
2016	J	`jnl`	Reducing Phase Noise in Multi-Phase Oscillators. IEEE Trans. Circuits Syst. I Regul. Pap. Paolo Maffezzoni, Bichoy Bahr, Zheng Zhang, Luca Daniel
2016	J	`jnl`	Tensor Computation: A New Framework for High-Dimensional Problems in EDA. CoRR Zheng Zhang, Kim Batselier, Haotian Liu, Luca Daniel, Ngai Wong
2016	A	`conf`	Utilizing macromodels in floating random walk based capacitance extraction. DATE Wenjian Yu, Bolong Zhang, Chao Zhang, Haiquan Wang, Luca Daniel
2015	J	`jnl`	Analysis and Design of Weakly Coupled LC Oscillator Arrays Based on Phase-Domain Macromodels. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Paolo Maffezzoni, Bichoy Bahr, Zheng Zhang, Luca Daniel
2015	J	`jnl`	Enabling High-Dimensional Hierarchical Uncertainty Quantification by ANOVA and Tensor-Train Decomposition. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Zheng Zhang, Xiu Yang, Ivan V. Oseledets, George E. Karniadakis, Luca Daniel
2015	J	`jnl`	Model Reduction and Simulation of Nonlinear Circuits via Tensor Decomposition. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Haotian Liu, Luca Daniel, Ngai Wong
2015	J	`jnl`	Modeling and Simulation of Vanadium Dioxide Relaxation Oscillators. IEEE Trans. Circuits Syst. I Regul. Pap. Paolo Maffezzoni, Luca Daniel, Nikhil Shukla, Suman Datta, Arijit Raychowdhury
2015	J	`jnl`	Oscillator Array Models for Associative Memory and Pattern Recognition. IEEE Trans. Circuits Syst. I Regul. Pap. Paolo Maffezzoni, Bichoy Bahr, Zheng Zhang, Luca Daniel
2015	J	`jnl`	Probabilistic Power Flow Computation via Low-Rank and Sparse Tensor Recovery. CoRR Zheng Zhang, Hung D. Nguyen, Konstantin S. Turitsyn, Luca Daniel
2015	A	`conf`	STAVES: Speedy Tensor-Aided Volterra-Based Electronic Simulator. ICCAD Haotian Liu, Xiaoyan Y. Z. Xiong, Kim Batselier, Lijun Jiang, Luca Daniel, Ngai Wong
2014	J	`jnl`	A Study of Deterministic Jitter in Crystal Oscillators. IEEE Trans. Circuits Syst. I Regul. Pap. Paolo Maffezzoni, Zheng Zhang, Luca Daniel
2014	—	`conf`	Accelerated domain decomposition FEM-BEM solver for magnetic resonance imaging (MRI) via discrete empirical interpolation method. VLSI-DAT Niloofar Farnoosh, Athanasios G. Polimeridis, Thomas J. Klemas, Luca Daniel
2014	J	`jnl`	Calculation of Generalized Polynomial-Chaos Basis Functions and Gauss Quadrature Rules in Hierarchical Uncertainty Quantification. CoRR Zheng Zhang, Tarek A. El-Moselhy, Ibrahim M. Elfadel, Luca Daniel
2014	J	`jnl`	Calculation of Generalized Polynomial-Chaos Basis Functions and Gauss Quadrature Rules in Hierarchical Uncertainty Quantification. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Zheng Zhang, Tarek A. El-Moselhy, Ibrahim M. Elfadel, Luca Daniel
2014	J	`jnl`	Efficient Localization Methods for Passivity Enforcement of Linear Dynamical Models. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Zohaib Mahmood, Stefano Grivet-Talocia, Alessandro Chinea, Giuseppe Carlo Calafiore, Luca Daniel
2014	J	`jnl`	Efficient Uncertainty Quantification for the Periodic Steady State of Forced and Autonomous Circuits. CoRR Zheng Zhang, Tarek A. El-Moselhy, Paolo Maffezzoni, Ibrahim M. Elfadel, Luca Daniel
2014	J	`jnl`	Enabling High-Dimensional Hierarchical Uncertainty Quantification by ANOVA and Tensor-Train Decomposition. CoRR Zheng Zhang, Xiu Yang, Ivan V. Oseledets, George E. Karniadakis, Luca Daniel
2014	J	`jnl`	Stable FFT-JVIE solvers for fast analysis of highly inhomogeneous dielectric objects. J. Comput. Phys. Athanasios G. Polimeridis, Jorge Fernandez Villena, Luca Daniel, Jacob K. White
2014	J	`jnl`	Stochastic Testing Method for Transistor-Level Uncertainty Quantification Based on Generalized Polynomial Chaos. CoRR Zheng Zhang, Tarek A. El-Moselhy, Ibrahim M. Elfadel, Luca Daniel
2014	J	`jnl`	Stochastic Testing Simulator for Integrated Circuits and MEMS: Hierarchical and Sparse Techniques. CoRR Zheng Zhang, Xiu Yang, Giovanni Marucci, Paolo Maffezzoni, Ibrahim M. Elfadel, George E. Karniadakis, Luca Daniel
2014	—	`conf`	Stochastic testing simulator for integrated circuits and MEMS: Hierarchical and sparse techniques. CICC Zheng Zhang, Xiu Yang, Giovanni Marucci, Paolo Maffezzoni, Ibrahim Abe M. Elfadel, George E. Karniadakis, Luca Daniel
2014	J	`jnl`	Uncertainty Quantification for Integrated Circuits: Stochastic Spectral Methods. CoRR Zheng Zhang, Ibrahim M. Elfadel, Luca Daniel
2013	—	`conf`	An ultra-compact virtual source FET model for deeply-scaled devices: Parameter extraction and validation for standard cell libraries and digital circuits. ASP-DAC Li Yu, Omar Mysore, Lan Wei, Luca Daniel, Dimitri A. Antoniadis, Ibrahim M. Elfadel, Duane S. Boning
2013	J	`jnl`	Efficient Uncertainty Quantification for the Periodic Steady State of Forced and Autonomous Circuits. IEEE Trans. Circuits Syst. II Express Briefs Zheng Zhang, Tarek A. El-Moselhy, Paolo Maffezzoni, Ibrahim M. Elfadel, Luca Daniel
2013	—	`conf`	Sparse basis pursuit on automatic nonlinear circuit modeling. ASICON Yu-Chung Hsiao, Luca Daniel
2013	J	`jnl`	Stochastic Testing Method for Transistor-Level Uncertainty Quantification Based on Generalized Polynomial Chaos. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Zheng Zhang, Tarek A. El-Moselhy, Ibrahim M. Elfadel, Luca Daniel
2013	A	`conf`	Uncertainty quantification for integrated circuits: stochastic spectral methods. ICCAD Zheng Zhang, Ibrahim M. Elfadel, Luca Daniel
2012	A	`conf`	An efficient framework for passive compact dynamical modeling of multiport linear systems. DATE Zohaib Mahmood, Roberto Suaya, Luca Daniel
2011	A*	`conf`	A highly scalable parallel boundary element method for capacitance extraction. DAC Yu-Chung Hsiao, Luca Daniel
2011	—	`conf`	A moment-matching scheme for the passivity-preserving model order reduction of indefinite descriptor systems with possible polynomial parts. ASP-DAC Zheng Zhang, Qing Wang, Ngai Wong, Luca Daniel
2011	A	`conf`	Model order reduction of fully parameterized systems by recursive least square optimization. ICCAD Zheng Zhang, Ibrahim M. Elfadel, Luca Daniel
2011	—	`conf`	Variation-aware stochastic extraction with large parameter dimensionality: Review and comparison of state of the art intrusive and non-intrusive techniques. ISQED Tarek A. El-Moselhy, Luca Daniel
2010	A*	`conf`	Automated compact dynamical modeling: an enabling tool for analog designers. DAC Bradley N. Bond, Luca Daniel
2010	—	`conf`	Circuit synthesizable guaranteed passive modeling for multiport structures. BMAS Zohaib Mahmood, Luca Daniel
2010	J	`jnl`	Compact Modeling of Nonlinear Analog Circuits Using System Identification via Semidefinite Programming and Incremental Stability Certification. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Bradley N. Bond, Zohaib Mahmood, Yan Li, Ranko Sredojevic, Alexandre Megretski, Vladimir Stojanovic, Yehuda Avniel, Luca Daniel
2010	A	`conf`	Passive reduced order modeling of multiport interconnects via semidefinite programming. DATE Zohaib Mahmood, Bradley N. Bond, Tarek Moselhy, Alexandre Megretski, Luca Daniel
2010	A*	`conf`	Stochastic dominant singular vectors method for variation-aware extraction. DAC Tarek A. El-Moselhy, Luca Daniel
2010	A	`conf`	Variation-aware interconnect extraction using statistical moment preserving model order reduction. DATE Tarek A. El-Moselhy, Luca Daniel
2009	A	`conf`	A hierarchical floating random walk algorithm for fabric-aware 3D capacitance extraction. ICCAD Tarek A. El-Moselhy, Ibrahim M. Elfadel, Luca Daniel
2009	J	`jnl`	Stable Reduced Models for Nonlinear Descriptor Systems Through Piecewise-Linear Approximation and Projection. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Bradley N. Bond, Luca Daniel
2008	J	`jnl`	A Quasi-Convex Optimization Approach to Parameterized Model Order Reduction. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Kin Cheong Sou, Alexandre Megretski, Luca Daniel
2008	A	`conf`	A capacitance solver for incremental variation-aware extraction. ICCAD Tarek A. El-Moselhy, Ibrahim M. Elfadel, Luca Daniel
2008	—	`conf`	Convex relaxation approach to the identification of the Wiener-Hammerstein model. CDC Kin Cheong Sou, Alexandre Megretski, Luca Daniel
2008	A	`conf`	Guaranteed stable projection-based model reduction for indefinite and unstable linear systems. ICCAD Bradley N. Bond, Luca Daniel
2008	A*	`conf`	Stochastic integral equation solver for efficient variation-aware interconnect extraction. DAC Tarek Moselhy, Luca Daniel
2007	J	`jnl`	A Piecewise-Linear Moment-Matching Approach to Parameterized Model-Order Reduction for Highly Nonlinear Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Bradley N. Bond, Luca Daniel
2007	A	`conf`	Bounding L2 gain system error generated by approximations of the nonlinear vector field. ICCAD Kin Cheong Sou, Alexandre Megretski, Luca Daniel
2007	A	`conf`	Optimization-based wideband basis functions for efficient interconnect extraction. DATE Xin Hu, Tarek Moselhy, Jacob K. White, Luca Daniel
2007	A	`conf`	Stabilizing schemes for piecewise-linear reduced order models via projection and weighting functions. ICCAD Bradley N. Bond, Luca Daniel
2007	A	`conf`	pFFT in FastMaxwell: a fast impedance extraction solver for 3D conductor structures over substrate. DATE Tarek Moselhy, Xin Hu, Luca Daniel
2005	A*	`conf`	A quasi-convex optimization approach to parameterized model order reduction. DAC Kin Cheong Sou, Alexandre Megretski, Luca Daniel
2005	A*	`conf`	Analysis of full-wave conductor system impedance over substrate using novel integration techniques. DAC Xin Hu, Jung Hoon Lee, Jacob White, Luca Daniel
2005	—	`conf`	Modeling and Design of Chip-Package Interface. ISQED Anirudh Devgan, Luca Daniel, Byron Krauter, Lei He
2005	A	`conf`	Parameterized model order reduction of nonlinear dynamical systems. ICCAD Bradley N. Bond, Luca Daniel
2005	A*	`conf`	Segregation by primary phase factors: a full-wave algorithm for model order reduction. DAC Thomas J. Klemas, Luca Daniel, Jacob K. White
2004	J	`jnl`	A multiparameter moment-matching model-reduction approach for generating geometrically parameterized interconnect performance models. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Luca Daniel, Chin Siong Ong, Sok Chay Low, Kwok Hong Lee, Jacob K. White
2003	A	`conf`	A Methodology for the Computation of an Upper Bound on Nose Current Spectrum of CMOS Switching Activity. ICCAD Alessandra Nardi, Haibo Zeng, Joshua L. Garrett, Luca Daniel, Alberto L. Sangiovanni-Vincentelli
2003	J	`jnl`	Guaranteed passive balancing transformations for model order reduction. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Joel R. Phillips, Luca Daniel, Luís Miguel Silveira
2002	—	`conf`	Geometrically parameterized interconnect performance models for interconnect synthesis. ISPD Luca Daniel, Chin Siong Ong, Sok Chay Low, Kwok Hong Lee, Jacob White
2002	A*	`conf`	Guaranteed passive balancing transformations for model order reduction. DAC Joel R. Phillips, Luca Daniel, Luís Miguel Silveira
2002	A*	`conf`	Model order reduction for strictly passive and causal distributed systems. DAC Luca Daniel, Joel R. Phillips
2002	A	`conf`	Proximity templates for modeling of skin and proximity effects on packages and high frequency interconnect. ICCAD Luca Daniel, Alberto L. Sangiovanni-Vincentelli, Jacob K. White
2001	A	`conf`	Techniques for Including Dielectrics when Extracting Passive Low-Order Models of High Speed Interconnect. ICCAD Luca Daniel, Alberto L. Sangiovanni-Vincentelli, Jacob K. White
2001	A*	`conf`	Using Conduction Modes Basis Functions for Efficient Electromagnetic Analysis of On-Chip and Off-Chip Interconnect. DAC Luca Daniel, Alberto L. Sangiovanni-Vincentelli, Jacob White