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ORCIDLuca Daniel
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- affiliation: Massachusetts Institute of Technology, Cambridge, USA
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2020 – today
- 2024
[j35]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): 116-146 (2024)- [c68]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: 16857-16864 - [c67]Zhengqi Gao, Dinghuai Zhang, Luca Daniel, Duane S. Boning:
NOFIS: Normalizing Flow for Rare Circuit Failure Analysis. DAC 2024: 279:1-279:6 - [c66]Ching-Yun Ko, Pin-Yu Chen, Payel Das, Jeet Mohapatra, Luca Daniel:
What Would Gauss Say About Representations? Probing Pretrained Image Models using Synthetic Gaussian Benchmarks. ICML 2024 - [i42]Ching-Yun Ko, Pin-Yu Chen, Payel Das, Youssef Mroueh, Soham Dan, Georgios Kollias, Subhajit Chaudhury, Tejaswini Pedapati, Luca Daniel:
Large Language Models can be Strong Self-Detoxifiers. CoRR abs/2410.03818 (2024) - 2023
- [j34]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): 105-114 (2023) - [c65]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: 354-359 - [c64]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: 41694-41714 - [i41]Alex Gu, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel:
Certified Interpretability Robustness for Class Activation Mapping. CoRR abs/2301.11324 (2023) - [i40]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 abs/2302.05783 (2023) - [i39]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 abs/2302.11883 (2023) - [i38]Zhengqi Gao, Dinghuai Zhang, Luca Daniel, Duane S. Boning:
Rare Event Probability Learning by Normalizing Flows. CoRR abs/2310.19167 (2023) - [i37]Wang Zhang, Ziwen Martin Ma, Subhro Das, Tsui-Wei Weng, Alexandre Megretski, Luca Daniel, Lam M. Nguyen:
One step closer to unbiased aleatoric uncertainty estimation. CoRR abs/2312.10469 (2023) - 2022
- [c63]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: 407-422 - [c62]Asaf Gendler, Tsui-Wei Weng, Luca Daniel, Yaniv Romano:
Adversarially Robust Conformal Prediction. ICLR 2022 - [c61]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: 11387-11412 - [c60]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: 1-5 - [i36]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 abs/2206.12409 (2022) - [i35]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 abs/2207.11327 (2022) - [i34]Ching-Yun Ko, Pin-Yu Chen, Jeet Mohapatra, Payel Das, Luca Daniel:
SynBench: Task-Agnostic Benchmarking of Pretrained Representations using Synthetic Data. CoRR abs/2210.02989 (2022) - [i33]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 abs/2210.12584 (2022) - 2021
- [j33]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): 236-246 (2021) - [c59]Akhilan Boopathy, Lily Weng, Sijia Liu, Pin-Yu Chen, Gaoyuan Zhang, Luca Daniel:
Fast Training of Provably Robust Neural Networks by SingleProp. AAAI 2021: 6803-6811 - [c58]Jeet Mohapatra, Ching-Yun Ko, Lily Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel:
Hidden Cost of Randomized Smoothing. AISTATS 2021: 4033-4041 - [c57]Tuomas P. Oikarinen, Wang Zhang, Alexandre Megretski, Luca Daniel, Tsui-Wei Weng:
Robust Deep Reinforcement Learning through Adversarial Loss. NeurIPS 2021: 26156-26167 - [i32]Akhilan Boopathy, Tsui-Wei Weng, Sijia Liu, Pin-Yu Chen, Gaoyuan Zhang, Luca Daniel:
Fast Training of Provably Robust Neural Networks by SingleProp. CoRR abs/2102.01208 (2021) - [i31]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 abs/2103.06393 (2021) - [i30]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 abs/2112.04468 (2021) - 2020
- [j32]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: 197745-197756 (2020) - [j31]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): 3-15 (2020) - [j30]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. 67-I(6): 2064-2077 (2020) - [j29]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: 6918-6931 (2020) - [c56]Zhaoyang Lyu, Ching-Yun Ko, Zhifeng Kong, Ngai Wong, Dahua Lin, Luca Daniel:
Fastened CROWN: Tightened Neural Network Robustness Certificates. AAAI 2020: 5037-5044 - [c55]Tsui-Wei Weng, Pu Zhao, Sijia Liu, Pin-Yu Chen, Xue Lin, Luca Daniel:
Towards Certificated Model Robustness Against Weight Perturbations. AAAI 2020: 6356-6363 - [c54]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: 241-249 - [c53]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: 1014-1023 - [c52]Yuh-Shyang Wang, Lily Weng, Luca Daniel:
Neural Network Control Policy Verification With Persistent Adversarial Perturbation. ICML 2020: 10050-10059 - [c51]Jeet Mohapatra, Ching-Yun Ko, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel:
Higher-Order Certification For Randomized Smoothing. NeurIPS 2020 - [i29]Jeet Mohapatra, Ching-Yun Ko, Tsui-Wei Weng, Sijia Liu, Pin-Yu Chen, Luca Daniel:
Rethinking Randomized Smoothing for Adversarial Robustness. CoRR abs/2003.01249 (2020) - [i28]Akhilan Boopathy, Sijia Liu, Gaoyuan Zhang, Cynthia Liu, Pin-Yu Chen, Shiyu Chang, Luca Daniel:
Proper Network Interpretability Helps Adversarial Robustness in Classification. CoRR abs/2006.14748 (2020) - [i27]Tuomas P. Oikarinen, Tsui-Wei Weng, Luca Daniel:
Robust Deep Reinforcement Learning through Adversarial Loss. CoRR abs/2008.01976 (2020) - [i26]Jeet Mohapatra, Ching-Yun Ko, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel:
Higher-Order Certification for Randomized Smoothing. CoRR abs/2010.06651 (2020) - [i25]Samuel Chevalier, Luca Schenato, Luca Daniel:
Accelerated Probabilistic Power Flow via Model Order Reduction and Neumann Series Expansion. CoRR abs/2010.14995 (2020) - [i24]Samuel Chevalier, Luca Schenato, Luca Daniel:
Accelerated Probabilistic State Estimation in Distribution Grids via Model Order Reduction. CoRR abs/2011.05397 (2020) - [i23]Samuel Chevalier, Kathleen Cavanagh, Konstantin S. Turitsyn, Luca Daniel, Petr Vorobev:
Stability Certification Standards for DC Microgrid Networks with Arbitrary Load Configurations. CoRR abs/2011.06707 (2020) - [i22]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 abs/2011.12724 (2020)
2010 – 2019
- 2019
- [j28]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: 9357-9367 (2019) - [c50]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: 3240-3247 - [c49]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: 1-3 - [c48]Ching-Yun Ko, Zhaoyang Lyu, Lily Weng, Luca Daniel, Ngai Wong, Dahua Lin:
POPQORN: Quantifying Robustness of Recurrent Neural Networks. ICML 2019: 3468-3477 - [c47]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: 6727-6736 - [i21]Ching-Yun Ko, Zhaoyang Lyu, Tsui-Wei Weng, Luca Daniel, Ngai Wong, Dahua Lin:
POPQORN: Quantifying Robustness of Recurrent Neural Networks. CoRR abs/1905.07387 (2019) - [i20]Yuh-Shyang Wang, Tsui-Wei Weng, Luca Daniel:
Verification of Neural Network Control Policy Under Persistent Adversarial Perturbation. CoRR abs/1908.06353 (2019) - [i19]Zhaoyang Lyu, Ching-Yun Ko, Zhifeng Kong, Ngai Wong, Dahua Lin, Luca Daniel:
Fastened CROWN: Tightened Neural Network Robustness Certificates. CoRR abs/1912.00574 (2019) - [i18]Jeet Mohapatra, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel:
Towards Verifying Robustness of Neural Networks Against Semantic Perturbations. CoRR abs/1912.09533 (2019) - 2018
- [j27]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): 1221-1244 (2018) - [j26]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): 2180-2184 (2018) - [j25]Paolo Maffezzoni, Luca Daniel:
Exploiting Oscillator Arrays As Randomness Sources for Cryptographic Applications. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37(12): 2999-3007 (2018) - [j24]Alberto Bernardini, Paolo Maffezzoni, Luca Daniel, Augusto Sarti:
Wave-Based Analysis of Large Nonlinear Photovoltaic Arrays. IEEE Trans. Circuits Syst. I Regul. Pap. 65-I(4): 1363-1376 (2018) - [c46]Tsui-Wei Weng, Huan Zhang, Pin-Yu Chen, Aurélie C. Lozano, Cho-Jui Hsieh, Luca Daniel:
On Extensions of Clever: A Neural Network Robustness Evaluation Algorithm. GlobalSIP 2018: 1159-1163 - [c45]Giambattista Gruosso, Roberto Silva Netto, Paolo Maffezzoni, Zheng Zhang, Luca Daniel:
Low voltage electrical distribution network analysis under load variation. ICIT 2018: 1248-1253 - [c44]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 - [c43]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: 5273-5282 - [c42]Alberto Bernardini, Augusto Sarti, Paolo Maffezzoni, Luca Daniel:
Wave Digital-Based Variability Analysis of Electrical Mismatch in Photovoltaic Arrays. ISCAS 2018: 1-5 - [c41]Huan Zhang, Tsui-Wei Weng, Pin-Yu Chen, Cho-Jui Hsieh, Luca Daniel:
Efficient Neural Network Robustness Certification with General Activation Functions. NeurIPS 2018: 4944-4953 - [i17]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 abs/1801.10578 (2018) - [i16]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 abs/1804.09699 (2018) - [i15]Tsui-Wei Weng, Huan Zhang, Pin-Yu Chen, Aurélie C. Lozano, Cho-Jui Hsieh, Luca Daniel:
On Extensions of CLEVER: A Neural Network Robustness Evaluation Algorithm. CoRR abs/1810.08640 (2018) - [i14]Huan Zhang, Tsui-Wei Weng, Pin-Yu Chen, Cho-Jui Hsieh, Luca Daniel:
Efficient Neural Network Robustness Certification with General Activation Functions. CoRR abs/1811.00866 (2018) - [i13]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 abs/1811.12395 (2018) - [i12]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 abs/1812.08329 (2018) - 2017
- [j23]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: 465-484 (2017) - [j22]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): 521-536 (2017) - [c40]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: 327-332 - [c39]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: 1-5 - [i11]Kim Batselier, Wenjian Yu, Luca Daniel, Ngai Wong:
Computing low-rank approximations of large-scale matrices with the Tensor Network randomized SVD. CoRR abs/1707.07803 (2017) - 2016
- [j21]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): 2250-2261 (2016) - [j20]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): 458-470 (2016) - [j19]Paolo Maffezzoni, Bichoy Bahr, Zheng Zhang, Luca Daniel:
Reducing Phase Noise in Multi-Phase Oscillators. IEEE Trans. Circuits Syst. I Regul. Pap. 63-I(3): 379-388 (2016) - [j18]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. 63-I(11): 1964-1973 (2016) - [c38]Wenjian Yu, Bolong Zhang, Chao Zhang, Haiquan Wang, Luca Daniel:
Utilizing macromodels in floating random walk based capacitance extraction. DATE 2016: 1225-1230 - [i10]Zheng Zhang, Tsui-Wei Weng, Luca Daniel:
A Big-Data Approach to Handle Process Variations: Uncertainty Quantification by Tensor Recovery. CoRR abs/1603.06119 (2016) - [i9]Zheng Zhang, Kim Batselier, Haotian Liu, Luca Daniel, Ngai Wong:
Tensor Computation: A New Framework for High-Dimensional Problems in EDA. CoRR abs/1610.04272 (2016) - [i8]Zheng Zhang, Tsui-Wei Weng, Luca Daniel:
A Big-Data Approach to Handle Many Process Variations: Tensor Recovery and Applications. CoRR abs/1611.02256 (2016) - 2015
- [j17]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): 63-76 (2015) - [j16]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): 77-85 (2015) - [j15]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): 1059-1069 (2015) - [j14]Paolo Maffezzoni, Bichoy Bahr, Zheng Zhang, Luca Daniel:
Oscillator Array Models for Associative Memory and Pattern Recognition. IEEE Trans. Circuits Syst. I Regul. Pap. 62-I(6): 1591-1598 (2015) - [j13]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. 62-I(9): 2207-2215 (2015) - [c37]Haotian Liu, Xiaoyan Y. Z. Xiong, Kim Batselier, Lijun Jiang, Luca Daniel, Ngai Wong:
STAVES: Speedy Tensor-Aided Volterra-Based Electronic Simulator. ICCAD 2015: 583-588 - [i7]Zheng Zhang, Hung D. Nguyen, Konstantin S. Turitsyn, Luca Daniel:
Probabilistic Power Flow Computation via Low-Rank and Sparse Tensor Recovery. CoRR abs/1508.02489 (2015) - 2014
- [j12]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: 280-296 (2014) - [j11]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): 728-740 (2014) - [j10]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): 1328-1341 (2014) - [j9]Paolo Maffezzoni, Zheng Zhang, Luca Daniel:
A Study of Deterministic Jitter in Crystal Oscillators. IEEE Trans. Circuits Syst. I Regul. Pap. 61-I(4): 1044-1054 (2014) - [c36]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: 1-8 - [c35]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: 1-4 - [i6]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 abs/1407.3023 (2014) - [i5]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 abs/1409.4822 (2014) - [i4]Zheng Zhang, Ibrahim M. Elfadel, Luca Daniel:
Uncertainty Quantification for Integrated Circuits: Stochastic Spectral Methods. CoRR abs/1409.4824 (2014) - [i3]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 abs/1409.4826 (2014) - [i2]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 abs/1409.4829 (2014) - [i1]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 abs/1409.4831 (2014) - 2013
- [j8]Zheng Zhang, Tarek A. El-Moselhy, Ibrahim M. Elfadel, Luca Daniel:
Stochastic Testing Method for Transistor-Level Uncertainty Quantification Based on Generalized Polynomial Chaos. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 32(10): 1533-1545 (2013) - [j7]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. IEEE Trans. Circuits Syst. II Express Briefs 60-II(10): 687-691 (2013) - [c34]Yu-Chung Hsiao, Luca Daniel:
Sparse basis pursuit on automatic nonlinear circuit modeling. ASICON 2013: 1-4 - [c33]Li Yu, Omar Mysore, Lan Wei, Luca Daniel, Dimitri A. Antoniadis, Ibrahim M. Elfadel, Duane S. Boning:
An ultra-compact virtual source FET model for deeply-scaled devices: Parameter extraction and validation for standard cell libraries and digital circuits. ASP-DAC 2013: 521-526 - [c32]Zheng Zhang, Ibrahim M. Elfadel, Luca Daniel:
Uncertainty quantification for integrated circuits: stochastic spectral methods. ICCAD 2013: 803-810 - 2012
- [c31]Zohaib Mahmood, Roberto Suaya, Luca Daniel:
An efficient framework for passive compact dynamical modeling of multiport linear systems. DATE 2012: 1203-1208 - 2011
- [c30]Zheng Zhang, Qing Wang, Ngai Wong, Luca Daniel:
A moment-matching scheme for the passivity-preserving model order reduction of indefinite descriptor systems with possible polynomial parts. ASP-DAC 2011: 49-54 - [c29]Yu-Chung Hsiao, Luca Daniel:
A highly scalable parallel boundary element method for capacitance extraction. DAC 2011: 552-557 - [c28]Zheng Zhang, Ibrahim M. Elfadel, Luca Daniel:
Model order reduction of fully parameterized systems by recursive least square optimization. ICCAD 2011: 523-530 - [c27]Tarek A. El-Moselhy, Luca Daniel:
Variation-aware stochastic extraction with large parameter dimensionality: Review and comparison of state of the art intrusive and non-intrusive techniques. ISQED 2011: 508-517 - 2010
- [j6]Bradley N. Bond, Zohaib Mahmood, Yan Li, Ranko Sredojevic, Alexandre Megretski, Vladimir Stojanovic, Yehuda Avniel, Luca Daniel:
Compact Modeling of Nonlinear Analog Circuits Using System Identification via Semidefinite Programming and Incremental Stability Certification. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 29(8): 1149-1162 (2010) - [c26]Zohaib Mahmood, Luca Daniel:
Circuit synthesizable guaranteed passive modeling for multiport structures. BMAS 2010: 19-24 - [c25]Bradley N. Bond, Luca Daniel:
Automated compact dynamical modeling: an enabling tool for analog designers. DAC 2010: 415-420 - [c24]Tarek A. El-Moselhy, Luca Daniel:
Stochastic dominant singular vectors method for variation-aware extraction. DAC 2010: 667-672 - [c23]Tarek A. El-Moselhy, Luca Daniel:
Variation-aware interconnect extraction using statistical moment preserving model order reduction. DATE 2010: 453-458 - [c22]Zohaib Mahmood, Bradley N. Bond, Tarek Moselhy, Alexandre Megretski, Luca Daniel:
Passive reduced order modeling of multiport interconnects via semidefinite programming. DATE 2010: 622-625
2000 – 2009
- 2009
- [j5]Bradley N. Bond, Luca Daniel:
Stable Reduced Models for Nonlinear Descriptor Systems Through Piecewise-Linear Approximation and Projection. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 28(10): 1467-1480 (2009) - [c21]Tarek A. El-Moselhy, Ibrahim M. Elfadel, Luca Daniel:
A hierarchical floating random walk algorithm for fabric-aware 3D capacitance extraction. ICCAD 2009: 752-758 - 2008
- [j4]Kin Cheong Sou, Alexandre Megretski, Luca Daniel:
A Quasi-Convex Optimization Approach to Parameterized Model Order Reduction. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 27(3): 456-469 (2008) - [c20]Kin Cheong Sou, Alexandre Megretski, Luca Daniel:
Convex relaxation approach to the identification of the Wiener-Hammerstein model. CDC 2008: 1375-1382 - [c19]Tarek Moselhy, Luca Daniel:
Stochastic integral equation solver for efficient variation-aware interconnect extraction. DAC 2008: 415-420 - [c18]Tarek A. El-Moselhy, Ibrahim M. Elfadel, Luca Daniel:
A capacitance solver for incremental variation-aware extraction. ICCAD 2008: 662-669 - [c17]Bradley N. Bond, Luca Daniel:
Guaranteed stable projection-based model reduction for indefinite and unstable linear systems. ICCAD 2008: 728-735 - 2007
- [j3]Bradley N. Bond, Luca Daniel:
A Piecewise-Linear Moment-Matching Approach to Parameterized Model-Order Reduction for Highly Nonlinear Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 26(12): 2116-2129 (2007) - [c16]Tarek Moselhy, Xin Hu, Luca Daniel:
pFFT in FastMaxwell: a fast impedance extraction solver for 3D conductor structures over substrate. DATE 2007: 1194-1199 - [c15]Xin Hu, Tarek Moselhy, Jacob K. White, Luca Daniel:
Optimization-based wideband basis functions for efficient interconnect extraction. DATE 2007: 1200-1205 - [c14]Bradley N. Bond, Luca Daniel:
Stabilizing schemes for piecewise-linear reduced order models via projection and weighting functions. ICCAD 2007: 860-866 - [c13]Kin Cheong Sou, Alexandre Megretski, Luca Daniel:
Bounding L2 gain system error generated by approximations of the nonlinear vector field. ICCAD 2007: 879-886 - 2005
- [c12]Xin Hu, Jung Hoon Lee, Jacob White, Luca Daniel:
Analysis of full-wave conductor system impedance over substrate using novel integration techniques. DAC 2005: 147-152 - [c11]Kin Cheong Sou, Alexandre Megretski, Luca Daniel:
A quasi-convex optimization approach to parameterized model order reduction. DAC 2005: 933-938 - [c10]Thomas J. Klemas, Luca Daniel, Jacob K. White:
Segregation by primary phase factors: a full-wave algorithm for model order reduction. DAC 2005: 943-946 - [c9]Bradley N. Bond, Luca Daniel:
Parameterized model order reduction of nonlinear dynamical systems. ICCAD 2005: 487-494 - [c8]Anirudh Devgan, Luca Daniel, Byron Krauter, Lei He:
Modeling and Design of Chip-Package Interface. ISQED 2005: 6 - 2004
- [j2]Luca Daniel, Chin Siong Ong, Sok Chay Low, Kwok Hong Lee, Jacob K. White:
A multiparameter moment-matching model-reduction approach for generating geometrically parameterized interconnect performance models. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 23(5): 678-693 (2004) - 2003
- [j1]Joel R. Phillips, Luca Daniel, Luís Miguel Silveira:
Guaranteed passive balancing transformations for model order reduction. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 22(8): 1027-1041 (2003) - [c7]Alessandra Nardi, Haibo Zeng, Joshua L. Garrett, Luca Daniel, Alberto L. Sangiovanni-Vincentelli:
A Methodology for the Computation of an Upper Bound on Nose Current Spectrum of CMOS Switching Activity. ICCAD 2003: 778-785 - 2002
- [c6]Luca Daniel, Joel R. Phillips:
Model order reduction for strictly passive and causal distributed systems. DAC 2002: 46-51 - [c5]Joel R. Phillips, Luca Daniel, Luís Miguel Silveira:
Guaranteed passive balancing transformations for model order reduction. DAC 2002: 52-57 - [c4]Luca Daniel, Alberto L. Sangiovanni-Vincentelli, Jacob K. White:
Proximity templates for modeling of skin and proximity effects on packages and high frequency interconnect. ICCAD 2002: 326-333 - [c3]Luca Daniel, Chin Siong Ong, Sok Chay Low, Kwok Hong Lee, Jacob White:
Geometrically parameterized interconnect performance models for interconnect synthesis. ISPD 2002: 202-207 - 2001
- [c2]Luca Daniel, Alberto L. Sangiovanni-Vincentelli, Jacob White:
Using Conduction Modes Basis Functions for Efficient Electromagnetic Analysis of On-Chip and Off-Chip Interconnect. DAC 2001: 563-566 - [c1]Luca Daniel, Alberto L. Sangiovanni-Vincentelli, Jacob K. White:
Techniques for Including Dielectrics when Extracting Passive Low-Order Models of High Speed Interconnect. ICCAD 2001: 240-244
Coauthor Index
Ibrahim M. Elfadel
aka: Ibrahim Abe M. Elfadel
aka: Ibrahim Abe M. Elfadel
Ching Yun Ko
aka: Ching-Yun Ko
aka: Ching-Yun Ko
Tsui-Wei Weng
aka: Tsui-Wei Lily Weng
aka: Tsui-Wei Lily Weng
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