Using Conduction Modes Basis Functions for Efficient Electromagnetic Analysis of On-Chip and Off-Chip Interconnect. - Luca Daniel; Alberto L. Sangiovanni-Vincentelli; Jacob White 001 (DAC, 2001)

Techniques for Including Dielectrics when Extracting Passive Low-Order Models of High Speed Interconnect. - Luca Daniel; Alberto L. Sangiovanni-Vincentelli; Jacob K. White 001 (ICCAD, 2001)

Model order reduction for strictly passive and causal distributed systems. - Luca Daniel; Joel R. Phillips (DAC, 2002)

Proximity templates for modeling of skin and proximity effects on packages and high frequency interconnect. - Luca Daniel; Alberto L. Sangiovanni-Vincentelli; Jacob K. White 001 (ICCAD, 2002)

Geometrically parameterized interconnect performance models for interconnect synthesis. - Luca Daniel; Chin Siong Ong; Sok Chay Low; Kwok Hong Lee; Jacob White 001 (ISPD, 2002)

A Methodology for the Computation of an Upper Bound on Nose Current Spectrum of CMOS Switching Activity. - Alessandra Nardi; Haibo Zeng 001; Joshua L. Garrett; Luca Daniel; Alberto L. Sangiovanni-Vincentelli (ICCAD, 2003)

Guaranteed passive balancing transformations for model order reduction. - Joel R. Phillips; Luca Daniel; Luís Miguel Silveira (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2003)

A multiparameter moment-matching model-reduction approach for generating geometrically parameterized interconnect performance models. - Luca Daniel; Chin Siong Ong; Sok Chay Low; Kwok Hong Lee; Jacob K. White 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2004)

Analysis of full-wave conductor system impedance over substrate using novel integration techniques. - Xin Hu 007; Jung Hoon Lee; Jacob White 001; Luca Daniel (DAC, 2005)

Segregation by primary phase factors: a full-wave algorithm for model order reduction. - Thomas J. Klemas; Luca Daniel; Jacob K. White 001 (DAC, 2005)

Parameterized model order reduction of nonlinear dynamical systems. - Bradley N. Bond; Luca Daniel (ICCAD, 2005)

Modeling and Design of Chip-Package Interface. - Anirudh Devgan; Luca Daniel; Byron Krauter; Lei He 001 (ISQED, 2005)

Optimization-based wideband basis functions for efficient interconnect extraction. - Xin Hu 007; Tarek Moselhy; Jacob K. White 001; Luca Daniel (DATE, 2007)

pFFT in FastMaxwell: a fast impedance extraction solver for 3D conductor structures over substrate. - Tarek Moselhy; Xin Hu 007; Luca Daniel (DATE, 2007)

Stabilizing schemes for piecewise-linear reduced order models via projection and weighting functions. - Bradley N. Bond; Luca Daniel (ICCAD, 2007)

Bounding L2 gain system error generated by approximations of the nonlinear vector field. - Kin Cheong Sou; Alexandre Megretski; Luca Daniel (ICCAD, 2007)

A Piecewise-Linear Moment-Matching Approach to Parameterized Model-Order Reduction for Highly Nonlinear Systems. - Bradley N. Bond; Luca Daniel (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2007)

Convex relaxation approach to the identification of the Wiener-Hammerstein model. - Kin Cheong Sou; Alexandre Megretski; Luca Daniel (CDC, 2008)

Stochastic integral equation solver for efficient variation-aware interconnect extraction. - Tarek Moselhy; Luca Daniel (DAC, 2008)

Guaranteed stable projection-based model reduction for indefinite and unstable linear systems. - Bradley N. Bond; Luca Daniel (ICCAD, 2008)

A capacitance solver for incremental variation-aware extraction. - Tarek A. El-Moselhy; Ibrahim M. Elfadel; Luca Daniel (ICCAD, 2008)

A Quasi-Convex Optimization Approach to Parameterized Model Order Reduction. - Kin Cheong Sou; Alexandre Megretski; Luca Daniel (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2008)

A hierarchical floating random walk algorithm for fabric-aware 3D capacitance extraction. - Tarek A. El-Moselhy; Ibrahim M. Elfadel; Luca Daniel (ICCAD, 2009)

Stable Reduced Models for Nonlinear Descriptor Systems Through Piecewise-Linear Approximation and Projection. - Bradley N. Bond; Luca Daniel (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2009)

Circuit synthesizable guaranteed passive modeling for multiport structures. - Zohaib Mahmood; Luca Daniel (BMAS, 2010)

Automated compact dynamical modeling: an enabling tool for analog designers. - Bradley N. Bond; Luca Daniel (DAC, 2010)

Stochastic dominant singular vectors method for variation-aware extraction. - Tarek A. El-Moselhy; Luca Daniel (DAC, 2010)

Variation-aware interconnect extraction using statistical moment preserving model order reduction. - Tarek A. El-Moselhy; Luca Daniel (DATE, 2010)

Passive reduced order modeling of multiport interconnects via semidefinite programming. - Zohaib Mahmood; Bradley N. Bond; Tarek Moselhy; Alexandre Megretski; Luca Daniel (DATE, 2010)

Compact Modeling of Nonlinear Analog Circuits Using System Identification via Semidefinite Programming and Incremental Stability Certification. - Bradley N. Bond; Zohaib Mahmood; Yan Li 029; Ranko Sredojevic; Alexandre Megretski; Vladimir Stojanovic; Yehuda Avniel; Luca Daniel (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2010)

A moment-matching scheme for the passivity-preserving model order reduction of indefinite descriptor systems with possible polynomial parts. - Zheng Zhang 005; Qing Wang 051; Ngai Wong 001; Luca Daniel (ASP-DAC, 2011)

A highly scalable parallel boundary element method for capacitance extraction. - Yu-Chung Hsiao; Luca Daniel (DAC, 2011)

Model order reduction of fully parameterized systems by recursive least square optimization. - Zheng Zhang 005; Ibrahim M. Elfadel; Luca Daniel (ICCAD, 2011)

Variation-aware stochastic extraction with large parameter dimensionality: Review and comparison of state of the art intrusive and non-intrusive techniques. - Tarek A. El-Moselhy; Luca Daniel (ISQED, 2011)

An efficient framework for passive compact dynamical modeling of multiport linear systems. - Zohaib Mahmood; Roberto Suaya; Luca Daniel (DATE, 2012)

Sparse basis pursuit on automatic nonlinear circuit modeling. - Yu-Chung Hsiao; Luca Daniel (ASICON, 2013)

An ultra-compact virtual source FET model for deeply-scaled devices: Parameter extraction and validation for standard cell libraries and digital circuits. - Li Yu 009; Omar Mysore; Lan Wei; Luca Daniel; Dimitri A. Antoniadis; Ibrahim M. Elfadel; Duane S. Boning (ASP-DAC, 2013)

Uncertainty quantification for integrated circuits: stochastic spectral methods. - Zheng Zhang 005; Ibrahim M. Elfadel; Luca Daniel (ICCAD, 2013)

Stochastic Testing Method for Transistor-Level Uncertainty Quantification Based on Generalized Polynomial Chaos. - Zheng Zhang 005; Tarek A. El-Moselhy; Ibrahim M. Elfadel; Luca Daniel (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2013)

Efficient Uncertainty Quantification for the Periodic Steady State of Forced and Autonomous Circuits. - Zheng Zhang 005; Tarek A. El-Moselhy; Paolo Maffezzoni; Ibrahim M. Elfadel; Luca Daniel (IEEE Trans. Circuits Syst. II Express Briefs, 2013)

Stochastic testing simulator for integrated circuits and MEMS: Hierarchical and sparse techniques. - Zheng Zhang 005; Xiu Yang; Giovanni Marucci; Paolo Maffezzoni; Ibrahim Abe M. Elfadel; George E. Karniadakis; Luca Daniel (CICC, 2014)

Accelerated domain decomposition FEM-BEM solver for magnetic resonance imaging (MRI) via discrete empirical interpolation method. - Niloofar Farnoosh; Athanasios G. Polimeridis; Thomas J. Klemas; Luca Daniel (VLSI-DAT, 2014)

Stable FFT-JVIE solvers for fast analysis of highly inhomogeneous dielectric objects. - Athanasios G. Polimeridis; Jorge Fernandez Villena; Luca Daniel; Jacob K. White 001 (J. Comput. Phys., 2014)

Efficient Localization Methods for Passivity Enforcement of Linear Dynamical Models. - Zohaib Mahmood; Stefano Grivet-Talocia; Alessandro Chinea; Giuseppe Carlo Calafiore; Luca Daniel (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2014)

Calculation of Generalized Polynomial-Chaos Basis Functions and Gauss Quadrature Rules in Hierarchical Uncertainty Quantification. - Zheng Zhang 005; Tarek A. El-Moselhy; Ibrahim M. Elfadel; Luca Daniel (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2014)

A Study of Deterministic Jitter in Crystal Oscillators. - Paolo Maffezzoni; Zheng Zhang 005; Luca Daniel (IEEE Trans. Circuits Syst. I Regul. Pap., 2014)

STAVES: Speedy Tensor-Aided Volterra-Based Electronic Simulator. - Haotian Liu; Xiaoyan Y. Z. Xiong; Kim Batselier; Lijun Jiang; Luca Daniel; Ngai Wong 001 (ICCAD, 2015)

Probabilistic Power Flow Computation via Low-Rank and Sparse Tensor Recovery. - Zheng Zhang 005; Hung D. Nguyen 001; Konstantin S. Turitsyn; Luca Daniel (CoRR, 2015)

Model Reduction and Simulation of Nonlinear Circuits via Tensor Decomposition. - Haotian Liu; Luca Daniel; Ngai Wong 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2015)

Analysis and Design of Weakly Coupled LC Oscillator Arrays Based on Phase-Domain Macromodels. - Paolo Maffezzoni; Bichoy Bahr; Zheng Zhang 005; Luca Daniel (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2015)

Enabling High-Dimensional Hierarchical Uncertainty Quantification by ANOVA and Tensor-Train Decomposition. - Zheng Zhang 005; Xiu Yang; Ivan V. Oseledets; George E. Karniadakis; Luca Daniel (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2015)

Oscillator Array Models for Associative Memory and Pattern Recognition. - Paolo Maffezzoni; Bichoy Bahr; Zheng Zhang 005; Luca Daniel (IEEE Trans. Circuits Syst. I Regul. Pap., 2015)

Modeling and Simulation of Vanadium Dioxide Relaxation Oscillators. - Paolo Maffezzoni; Luca Daniel; Nikhil Shukla; Suman Datta; Arijit Raychowdhury (IEEE Trans. Circuits Syst. I Regul. Pap., 2015)

Utilizing macromodels in floating random walk based capacitance extraction. - Wenjian Yu; Bolong Zhang; Chao Zhang; Haiquan Wang; Luca Daniel (DATE, 2016)

A Big-Data Approach to Handle Process Variations: Uncertainty Quantification by Tensor Recovery. - Zheng Zhang 005; Tsui-Wei Weng; Luca Daniel (CoRR, 2016)

A Big-Data Approach to Handle Many Process Variations: Tensor Recovery and Applications. - Zheng Zhang 005; Tsui-Wei Weng; Luca Daniel (CoRR, 2016)

Fast Electromagnetic Analysis of MRI Transmit RF Coils Based on Accelerated Integral Equation Methods. - Jorge Fernandez Villena; Athanasios G. Polimeridis; Yigitcan Eryaman; Elfar Adalsteinsson; Lawrence L. Wald; Jacob K. White 001; Luca Daniel (IEEE Trans. Biomed. Eng., 2016)

CAPLET: A Highly Parallelized Field Solver for Capacitance Extraction Using Instantiable Basis Functions. - Yu-Chung Hsiao; Luca Daniel (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2016)

Reducing Phase Noise in Multi-Phase Oscillators. - Paolo Maffezzoni; Bichoy Bahr; Zheng Zhang 005; Luca Daniel (IEEE Trans. Circuits Syst. I Regul. Pap., 2016)

Analysis and Design of Boolean Associative Memories Made of Resonant Oscillator Arrays. - Paolo Maffezzoni; Bichoy Bahr; Zheng Zhang 005; Luca Daniel (IEEE Trans. Circuits Syst. I Regul. Pap., 2016)

A predictive model to support the widespread diffusion of electric mobility. - Michela Longo; Paolo Maffezzoni; Dario Zaninelli; Nina M. Lutz; Luca Daniel (MT-ITS, 2017)

Towards an impact study of electric vehicles on the Italian electric power system using simulation techniques. - Michela Longo; Nina M. Lutz; Luca Daniel; Dario Zaninelli; Marco Pruckner (RTSI, 2017)

Shape optimization of solid-air porous phononic crystal slabs with widest full 3D bandgap for in-plane acoustic waves. - Luca D'Alessandro; Bichoy Bahr; Luca Daniel; Dana Weinstein; Raffaele Ardito (J. Comput. Phys., 2017)

Tensor Computation: A New Framework for High-Dimensional Problems in EDA. - Zheng Zhang 005; Kim Batselier; Haotian Liu; Luca Daniel; Ngai Wong 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2017)

On Extensions of Clever: A Neural Network Robustness Evaluation Algorithm. - Tsui-Wei Weng; Huan Zhang 001; Pin-Yu Chen; Aurélie C. Lozano; Cho-Jui Hsieh; Luca Daniel (GlobalSIP, 2018)

Low voltage electrical distribution network analysis under load variation. - Giambattista Gruosso; Roberto Silva Netto; Paolo Maffezzoni; Zheng Zhang 005; Luca Daniel (ICIT, 2018)

Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach. - Tsui-Wei Weng; Huan Zhang 001; Pin-Yu Chen; Jinfeng Yi; Dong Su; Yupeng Gao; Cho-Jui Hsieh; Luca Daniel (ICLR (Poster), 2018)

Towards Fast Computation of Certified Robustness for ReLU Networks. - Tsui-Wei Weng; Huan Zhang 001; Hongge Chen; Zhao Song 002; Cho-Jui Hsieh; Luca Daniel; Duane S. Boning; Inderjit S. Dhillon (ICML, 2018)

Wave Digital-Based Variability Analysis of Electrical Mismatch in Photovoltaic Arrays. - Alberto Bernardini; Augusto Sarti; Paolo Maffezzoni; Luca Daniel (ISCAS, 2018)

Efficient Neural Network Robustness Certification with General Activation Functions. - Huan Zhang 001; Tsui-Wei Weng; Pin-Yu Chen; Cho-Jui Hsieh; Luca Daniel (NeurIPS, 2018)

PROVEN: Certifying Robustness of Neural Networks with a Probabilistic Approach. - Tsui-Wei Weng; Pin-Yu Chen; Lam M. Nguyen; Mark S. Squillante; Ivan V. Oseledets; Luca Daniel (CoRR, 2018)

Computing Low-Rank Approximations of Large-Scale Matrices with the Tensor Network Randomized SVD. - Kim Batselier; Wenjian Yu; Luca Daniel; Ngai Wong 001 (SIAM J. Matrix Anal. Appl., 2018)

Exploiting Oscillator Arrays As Randomness Sources for Cryptographic Applications. - Paolo Maffezzoni; Luca Daniel (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018)

Variation-Aware Modeling of Integrated Capacitors Based on Floating Random Walk Extraction. - Paolo Maffezzoni; Zheng Zhang 005; Salvatore Levantino; Luca Daniel (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018)

Wave-Based Analysis of Large Nonlinear Photovoltaic Arrays. - Alberto Bernardini; Paolo Maffezzoni; Luca Daniel; Augusto Sarti (IEEE Trans. Circuits Syst. I Regul. Pap., 2018)

CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Networks. - Akhilan Boopathy; Tsui-Wei Weng; Pin-Yu Chen; Sijia Liu 001; Luca Daniel (AAAI, 2019)

Power Grid Simulation Considering Electric Vehicles and Renewable Energy Sources. - Avilash K. Cramer; Ian Miller; Neal Eichenberg; Juan De Jesus; Luca Daniel; Michela Longo (EVER, 2019)

POPQORN: Quantifying Robustness of Recurrent Neural Networks. - Ching-Yun Ko; Zhaoyang Lyu; Lily Weng; Luca Daniel; Ngai Wong 001; Dahua Lin (ICML, 2019)

PROVEN: Verifying Robustness of Neural Networks with a Probabilistic Approach. - Lily Weng; Pin-Yu Chen; Lam M. Nguyen; Mark S. Squillante; Akhilan Boopathy; Ivan V. Oseledets; Luca Daniel (ICML, 2019)

Uncertainty-Aware Computational Tools for Power Distribution Networks Including Electrical Vehicle Charging and Load Profiles. - Giambattista Gruosso; Giancarlo Storti Gajani; Zheng Zhang 005; Luca Daniel; Paolo Maffezzoni (IEEE Access, 2019)

POPQORN: Quantifying Robustness of Recurrent Neural Networks. - Ching-Yun Ko; Zhaoyang Lyu; Tsui-Wei Weng; Luca Daniel; Ngai Wong 001; Dahua Lin (CoRR, 2019)

Verification of Neural Network Control Policy Under Persistent Adversarial Perturbation. - Yuh-Shyang Wang; Tsui-Wei Weng; Luca Daniel (CoRR, 2019)

Towards Verifying Robustness of Neural Networks Against Semantic Perturbations. - Jeet Mohapatra; Tsui-Wei Weng; Pin-Yu Chen; Sijia Liu 001; Luca Daniel (CoRR, 2019)

Fastened CROWN: Tightened Neural Network Robustness Certificates. - Zhaoyang Lyu; Ching-Yun Ko; Zhifeng Kong; Ngai Wong 001; Dahua Lin; Luca Daniel (AAAI, 2020)

Towards Certificated Model Robustness Against Weight Perturbations. - Tsui-Wei Weng; Pu Zhao 001; Sijia Liu 001; Pin-Yu Chen; Xue Lin 001; Luca Daniel (AAAI, 2020)

Towards Verifying Robustness of Neural Networks Against A Family of Semantic Perturbations. - Jeet Mohapatra; Tsui-Wei Weng; Pin-Yu Chen; Sijia Liu 001; Luca Daniel (CVPR, 2020)

Proper Network Interpretability Helps Adversarial Robustness in Classification. - Akhilan Boopathy; Sijia Liu 001; Gaoyuan Zhang; Cynthia Liu; Pin-Yu Chen; Shiyu Chang; Luca Daniel (ICML, 2020)

Neural Network Control Policy Verification With Persistent Adversarial Perturbation. - Yuh-Shyang Wang; Lily Weng; Luca Daniel (ICML, 2020)

Higher-Order Certification For Randomized Smoothing. - Jeet Mohapatra; Ching-Yun Ko; Tsui-Wei Weng; Pin-Yu Chen; Sijia Liu 001; Luca Daniel (NeurIPS, 2020)

Metasurface Matching Layers for Enhanced Electric Field Penetration Into the Human Body. - Simone Genovesi; Ian Richard Butterworth; José Enrique Cruz Serrallés; Luca Daniel (IEEE Access, 2020)

Rethinking Randomized Smoothing for Adversarial Robustness. - Jeet Mohapatra; Ching-Yun Ko; Tsui-Wei Weng; Sijia Liu 001; Pin-Yu Chen; Luca Daniel (CoRR, 2020)

Robust Deep Reinforcement Learning through Adversarial Loss. - Tuomas P. Oikarinen; Tsui-Wei Weng; Luca Daniel (CoRR, 2020)

Accelerated Probabilistic Power Flow via Model Order Reduction and Neumann Series Expansion. - Samuel Chevalier; Luca Schenato 001; Luca Daniel (CoRR, 2020)

Accelerated Probabilistic State Estimation in Distribution Grids via Model Order Reduction. - Samuel Chevalier; Luca Schenato 001; Luca Daniel (CoRR, 2020)

Stability Certification Standards for DC Microgrid Networks with Arbitrary Load Configurations. - Samuel Chevalier; Kathleen Cavanagh; Konstantin S. Turitsyn; Luca Daniel; Petr Vorobev (CoRR, 2020)

Handling Initial Conditions in Vector Fitting for Real Time Modeling of Power System Dynamics. - Tommaso Bradde; Samuel Chevalier; Marco De Stefano; Stefano Grivet-Talocia; Luca Daniel (CoRR, 2020)

Noninvasive Estimation of Electrical Properties From Magnetic Resonance Measurements via Global Maxwell Tomography and Match Regularization. - José Enrique Cruz Serrallés; Riccardo Lattanzi; Ilias I. Giannakopoulos; Bei Zhang; Carlotta Ianniello; Martijn A. Cloos; Athanasios G. Polimeridis; Jacob K. White 001; Daniel K. Sodickson; Luca Daniel (IEEE Trans. Biomed. Eng., 2020)

Bounded Input Dissipativity of Linearized Circuit Models. - Tommaso Bradde; Stefano Grivet-Talocia; Giuseppe Carlo Calafiore; Anton V. Proskurnikov; Zohaib Mahmood; Luca Daniel (IEEE Trans. Circuits Syst. I Regul. Pap., 2020)

Fast and Accurate Tensor Completion With Total Variation Regularized Tensor Trains. - Ching-Yun Ko; Kim Batselier; Luca Daniel; Wenjian Yu; Ngai Wong 001 (IEEE Trans. Image Process., 2020)

Fast Training of Provably Robust Neural Networks by SingleProp. - Akhilan Boopathy; Lily Weng; Sijia Liu 001; Pin-Yu Chen; Gaoyuan Zhang; Luca Daniel (AAAI, 2021)

Hidden Cost of Randomized Smoothing. - Jeet Mohapatra; Ching-Yun Ko; Lily Weng; Pin-Yu Chen; Sijia Liu 001; Luca Daniel (AISTATS, 2021)

Robust Deep Reinforcement Learning through Adversarial Loss. - Tuomas P. Oikarinen; Wang Zhang; Alexandre Megretski; Luca Daniel; Tsui-Wei Weng (NeurIPS, 2021)

Fast Training of Provably Robust Neural Networks by SingleProp. - Akhilan Boopathy; Tsui-Wei Weng; Sijia Liu 001; Pin-Yu Chen; Gaoyuan Zhang; Luca Daniel (CoRR, 2021)

Compression of volume-surface integral equation matrices via Tucker decomposition for magnetic resonance applications. - Ilias I. Giannakopoulos; Georgy D. Guryev; José Enrique Cruz Serrallés; Ioannis P. Georgakis; Luca Daniel; Jacob K. White 001; Riccardo Lattanzi (CoRR, 2021)

Magnetic-Resonance-Based Electrical Property Mapping Using Global Maxwell Tomography With an 8-Channel Head Coil at 7 Tesla: A Simulation Study. - Ilias I. Giannakopoulos; José Enrique Cruz Serrallés; Luca Daniel; Daniel K. Sodickson; Athanasios G. Polimeridis; Jacob K. White 001; Riccardo Lattanzi (IEEE Trans. Biomed. Eng., 2021)

Learning from Multiple Annotator Noisy Labels via Sample-Wise Label Fusion. - Zhengqi Gao; Fan-Keng Sun; Mingran Yang; Sucheng Ren; Zikai Xiong; Marc Engeler; Antonio Burazer; Linda Wildling; Luca Daniel; Duane S. Boning (ECCV (24), 2022)

Adversarially Robust Conformal Prediction. - Asaf Gendler; Tsui-Wei Weng; Luca Daniel; Yaniv Romano (ICLR, 2022)

Revisiting Contrastive Learning through the Lens of Neighborhood Component Analysis: an Integrated Framework. - Ching-Yun Ko; Jeet Mohapatra; Sijia Liu 001; Pin-Yu Chen; Luca Daniel; Lily Weng (ICML, 2022)

Facile Prediction of Neutrophil Activation State from Microscopy Images: A New Dataset and Comparative Deep Learning Approaches. - Wei Liao; Ching-Yun Ko; Tsui-Wei Weng; Luca Daniel; Joel Voldman (ISBI, 2022)

SynBench: Task-Agnostic Benchmarking of Pretrained Representations using Synthetic Data. - Ching-Yun Ko; Pin-Yu Chen; Jeet Mohapatra; Payel Das; Luca Daniel (CoRR, 2022)

MR-Based Electrical Property Reconstruction Using Physics-Informed Neural Networks. - Xinling Yu; José Enrique Cruz Serrallés; Ilias I. Giannakopoulos; Ziyue Liu 003; Luca Daniel; Riccardo Lattanzi; Zheng Zhang 005 (CoRR, 2022)

Flexibility of Electric Vehicle Chargers in Residential, Workplace, and Public Locations Based on Real-World Data. - Cesar Diaz-Londono; Paolo Maffezzoni; Luca Daniel; Giambattista Gruosso (EUROCON, 2023)

ConCerNet: A Contrastive Learning Based Framework for Automated Conservation Law Discovery and Trustworthy Dynamical System Prediction. - Wang Zhang; Tsui-Wei Weng; Subhro Das; Alexandre Megretski; Luca Daniel; Lam M. Nguyen (ICML, 2023)

Certified Interpretability Robustness for Class Activation Mapping. - Alex Gu; Tsui-Wei Weng; Pin-Yu Chen; Sijia Liu 001; Luca Daniel (CoRR, 2023)

PIFON-EPT: MR-Based Electrical Property Tomography Using Physics-Informed Fourier Networks. - Xinling Yu; José Enrique Cruz Serrallés; Ilias I. Giannakopoulos; Ziyue Liu 003; Luca Daniel; Riccardo Lattanzi; Zheng Zhang 005 (CoRR, 2023)

Rare Event Probability Learning by Normalizing Flows. - Zhengqi Gao; Dinghuai Zhang; Luca Daniel; Duane S. Boning (CoRR, 2023)

A Hybrid Volume-Surface Integral Equation Method for Rapid Electromagnetic Simulations in MRI. - Ilias I. Giannakopoulos; Georgy D. Guryev; José Enrique Cruz Serrallés; Jan Paska; Bei Zhang; Luca Daniel; Jacob K. White 001; Christopher M. Collins 002; Riccardo Lattanzi (IEEE Trans. Biomed. Eng., 2023)

One Step Closer to Unbiased Aleatoric Uncertainty Estimation. - Wang Zhang; Ziwen Martin Ma; Subhro Das; Tsui-Wei Lily Weng; Alexandre Megretski; Luca Daniel; Lam M. Nguyen (AAAI, 2024)

NOFIS: Normalizing Flow for Rare Circuit Failure Analysis. - Zhengqi Gao; Dinghuai Zhang; Luca Daniel; Duane S. Boning (DAC, 2024)

What Would Gauss Say About Representations? Probing Pretrained Image Models using Synthetic Gaussian Benchmarks. - Ching-Yun Ko; Pin-Yu Chen; Payel Das; Jeet Mohapatra; Luca Daniel (ICML, 2024)

Large Language Models can be Strong Self-Detoxifiers. - Ching-Yun Ko; Pin-Yu Chen; Payel Das; Youssef Mroueh; Soham Dan; Georgios Kollias; Subhajit Chaudhury; Tejaswini Pedapati; Luca Daniel (CoRR, 2024)

Guaranteeing Conservation Laws with Projection in Physics-Informed Neural Networks. - Anthony Baez; Wang Zhang; Ziwen Martin Ma; Subhro Das; Lam M. Nguyen; Luca Daniel (CoRR, 2024)

Polynomial Preconditioners for Regularized Linear Inverse Problems. - Siddharth Srinivasan Iyer; Frank Ong; Xiaozhi Cao; Congyu Liao; Luca Daniel; Jonathan I. Tamir; Kawin Setsompop (SIAM J. Imaging Sci., 2024)

Dilated Convolution for Time Series Learning. - Wang Zhang; Subhro Das; Lam M. Nguyen; Luca Daniel (ICASSP, 2025)

Large Language Models can Become Strong Self-Detoxifiers. - Ching-Yun Ko; Pin-Yu Chen; Payel Das; Youssef Mroueh; Soham Dan; Georgios Kollias; Subhajit Chaudhury; Tejaswini Pedapati; Luca Daniel (ICLR, 2025)