Tracking controllers for small UAVs with wind disturbances: Theory and flight results. - Stephen Jackson; John Tisdale; Maryam Kamgarpour; Brandon Basso; J. Karl Hedrick (CDC, 2008)

Convergence properties of a decentralized Kalman filter. - Maryam Kamgarpour; Claire J. Tomlin (CDC, 2008)

Modeling and analysis of cell differentiation using hybrid systems. - Maryam Kamgarpour; Claire J. Tomlin (ACC, 2010)

A numerical method for the optimal control of switched systems. - Humberto González; Ramanarayan Vasudevan; Maryam Kamgarpour; S. Shankar Sastry; Ruzena Bajcsy; Claire J. Tomlin (CDC, 2010)

Trajectory generation for aircraft subject to dynamic weather uncertainty. - Maryam Kamgarpour; Vera M. Dadok; Claire J. Tomlin (CDC, 2010)

A descent algorithm for the optimal control of constrained nonlinear switched dynamical systems. - Humberto González; Ramanarayan Vasudevan; Maryam Kamgarpour; S. Shankar Sastry; Ruzena Bajcsy; Claire J. Tomlin (HSCC, 2010)

Decentralized flight path planning for air traffic management. - Wei Zhang 013; Maryam Kamgarpour; Dengfeng Sun; Claire J. Tomlin (ACC, 2011)

Discrete time stochastic hybrid dynamical games: Verification & controller synthesis. - Maryam Kamgarpour; Jerry Ding; Sean Summers; Alessandro Abate; John Lygeros; Claire J. Tomlin (CDC/ECC, 2011)

A stochastic reach-avoid problem with random obstacles. - Sean Summers; Maryam Kamgarpour; John Lygeros; Claire J. Tomlin (HSCC, 2011)

Multiphase mixed-integer optimal control framework for aircraft conflict avoidance. - Manuel Soler; Maryam Kamgarpour; Claire J. Tomlin; Ernesto Staffetti (CDC, 2012)

On optimal control of non-autonomous switched systems with a fixed mode sequence. - Maryam Kamgarpour; Claire J. Tomlin (Autom., 2012)

A Hierarchical Flight Planning Framework for Air Traffic Management. - Wei Zhang 013; Maryam Kamgarpour; Dengfeng Sun; Claire J. Tomlin (Proc. IEEE, 2012)

A robust fault detection and isolation filter for a horizontal axis variable speed wind turbine. - Bratislav Svetozarevic; Peyman Mohajerin Esfahani; Maryam Kamgarpour; John Lygeros (ACC, 2013)

A Bayesian mean field game approach to supply demand analysis of the smart grid. - Maryam Kamgarpour; Hamidou Tembine (BlackSeaCom, 2013)

Optimal load management system for Aircraft Electric Power distribution. - Mehdi Maasoumy; Pierluigi Nuzzo 002; Forrest N. Iandola; Maryam Kamgarpour; Alberto L. Sangiovanni-Vincentelli; Claire J. Tomlin (CDC, 2013)

Approximate dynamic programming for stochastic reachability. - Nikolaos Kariotoglou; Sean Summers; Tyler H. Summers; Maryam Kamgarpour; John Lygeros (ECC, 2013)

Energy arbitrage with thermostatically controlled loads. - Johanna L. Mathieu; Maryam Kamgarpour; John Lygeros; Duncan S. Callaway (ECC, 2013)

Approximate dynamic programming via sum of squares programming. - Tyler H. Summers; Konstantin Kunz; Nikolaos Kariotoglou; Maryam Kamgarpour; Sean Summers; John Lygeros (ECC, 2013)

Control design for specifications on stochastic hybrid systems. - Maryam Kamgarpour; Sean Summers; John Lygeros (HSCC, 2013)

A stochastic games framework for verification and control of discrete time stochastic hybrid systems. - Jerry Ding; Maryam Kamgarpour; Sean Summers; Alessandro Abate; John Lygeros; Claire J. Tomlin (Autom., 2013)

Stochastic system controller synthesis for reachability specifications encoded by random sets. - Sean Summers; Maryam Kamgarpour; Claire J. Tomlin; John Lygeros (Autom., 2013)

Selling robustness margins: A framework for optimizing reserve capacities for linear systems. - Xiaojing Zhang 001; Maryam Kamgarpour; Paul Goulart; John Lygeros (CDC, 2014)

Model based power optimisation of wind farms. - Flavio Heer; Peyman Mohajerin Esfahani; Maryam Kamgarpour; John Lygeros (ECC, 2014)

A numerical approach to stochastic reach-avoid problems for Markov Decision Processes. - Nikolaos Kariotoglou; Maryam Kamgarpour; Tyler H. Summers; John Lygeros (CoRR, 2014)

On the range of feasible power trajectories for a population of thermostatically controlled loads. - Dario Paccagnan; Maryam Kamgarpour; John Lygeros (CDC, 2015)

Stochastic frequency reserve provision by chance-constrained control of commercial buildings. - X. Zhang; Evangelos Vrettos; Maryam Kamgarpour; Göran Andersson; John Lygeros (ECC, 2015)

Upper bounds for the reach-avoid probability via robust optimization. - Nikolaos Kariotoglou; Maryam Kamgarpour; Tyler H. Summers; John Lygeros (CoRR, 2015)

Robust Optimal Control with Adjustable Uncertainty Sets. - Xiaojing Zhang 001; Maryam Kamgarpour; Angelos Georghiou; John Lygeros (CoRR, 2015)

Automaton-based stochastic control for navigation of emergency rescuers in buildings. - Tony A. Wood; Maryam Kamgarpour (CCA, 2016)

Distributed computation of generalized Nash equilibria in quadratic aggregative games with affine coupling constraints. - Dario Paccagnan; Basilio Gentile; Francesca Parise; Maryam Kamgarpour; John Lygeros (CDC, 2016)

A Semidefinite Programming Approach to Control Synthesis for Stochastic Reach-Avoid Problems. - Dalibor Drzajic; Nikolaos Kariotoglou; Maryam Kamgarpour; John Lygeros (ARCH@CPSWeek, 2016)

On aggregative and mean field games with applications to electricity markets. - Dario Paccagnan; Maryam Kamgarpour; John Lygeros (ECC, 2016)

Exploring Vickrey-Clarke-Groves Mechanism for Electricity Markets. - Pier Giuseppe Sessa; Neil Walton; Maryam Kamgarpour (CoRR, 2016)

A Hybrid Optimal Control Approach to Fuel-Efficient Aircraft Conflict Avoidance. - Manuel Soler; Maryam Kamgarpour; Javier Lloret; John Lygeros (IEEE Trans. Intell. Transp. Syst., 2016)

Robust control of constrained systems given an information structure. - Luca Furieri; Maryam Kamgarpour (CDC, 2017)

Game theoretic analysis of electricity market auction mechanisms. - Orcun Karaca; Maryam Kamgarpour (CDC, 2017)

Control synthesis for stochastic systems given automata specifications defined by stochastic sets. - Maryam Kamgarpour; Tony A. Wood; Sean Summers; John Lygeros (Autom., 2017)

Robust optimal control with adjustable uncertainty sets. - Xiaojing Zhang 001; Maryam Kamgarpour; Angelos Georghiou; Paul Goulart; John Lygeros (Autom., 2017)

Information Structure Design in Team Decision Problems. - Tyler H. Summers; Changyuan Li; Maryam Kamgarpour (CoRR, 2017)

The Value of Communication in Synthesizing Controllers given an Information Structure. - Luca Furieri; Maryam Kamgarpour (CoRR, 2017)

Game Theoretic Analysis of Auction Mechanisms Modeled by Constrained Optimization Problems. - Orcun Karaca; Pier Giuseppe Sessa; Neil Walton; Maryam Kamgarpour (CoRR, 2017)

Performance guarantees for greedy maximization of non-submodular set functions in systems and control. - Tyler H. Summers; Maryam Kamgarpour (CoRR, 2017)

Robust Control Policies Given Formal Specifications in Uncertain Environments. - Damian Frick; Tony A. Wood; Gian Ulli; Maryam Kamgarpour (IEEE Control. Syst. Lett., 2017)

The Linear Programming Approach to Reach-Avoid Problems for Markov Decision Processes. - Nikolaos Kariotoglou; Maryam Kamgarpour; Tyler H. Summers; John Lygeros (J. Artif. Intell. Res., 2017)

Robust Distributed Control Beyond Quadratic Invariance. - Luca Furieri; Maryam Kamgarpour (CDC, 2018)

Exploiting Weak Supermodularity for Coalition-Proof Mechanisms. - Orcun Karaca; Maryam Kamgarpour (CDC, 2018)

Scalable analysis of linear networked systems via chordal decomposition. - Yang Zheng 001; Maryam Kamgarpour; Aivar Sootla; Antonis Papachristodoulou (ECC, 2018)

Minimizing Regret in Unconstrained Online Convex Optimization. - Tatiana Tatarenko; Maryam Kamgarpour (ECC, 2018)

From Uncertainty Data to Robust Policies for Temporal Logic Planning. - Pier Giuseppe Sessa; Damian Frick; Tony A. Wood; Maryam Kamgarpour (HSCC, 2018)

Plenary Lectures. - Bart De Moor; Yasamin Mostofi; Maryam Kamgarpour; Zdenko Kovacic; Maja Cepanec; Airlie Chapman; Mehran Mesbahi (MED, 2018)

Lowering the Upper Bounds on the Cost of Robust Distributed Controllers Beyond Quadratic Invariance. - Luca Furieri; Maryam Kamgarpour (CoRR, 2018)

Minimizing Regret in Bandit Online Optimization in Unconstrained and Constrained Action Spaces. - Tatiana Tatarenko; Maryam Kamgarpour (CoRR, 2018)

Bounding Inefficiency of Equilibria in Continuous Actions Games using Submodularity and Curvature. - Pier Giuseppe Sessa; Maryam Kamgarpour; Andreas Krause 001 (AISTATS, 2019)

Safe Convex Learning under Uncertain Constraints. - Ilnura Usmanova; Andreas Krause 001; Maryam Kamgarpour (AISTATS, 2019)

Privacy of Real-Time Pricing in Smart Grid. - Mahrokh Ghoddousi Boroujeni; Dominik Fay; Christos Dimitrakakis; Maryam Kamgarpour (CDC, 2019)

Actuator Placement for Optimizing Network Performance under Controllability Constraints. - Baiwei Guo; Orcun Karaca; Tyler H. Summers; Maryam Kamgarpour (CDC, 2019)

Learning Nash Equilibria in Monotone Games. - Tatiana Tatarenko; Maryam Kamgarpour (CDC, 2019)

On Separable Quadratic Lyapunov Functions for Convex Design of Distributed Controllers. - Luca Furieri; Yang Zheng 001; Antonis Papachristodoulou; Maryam Kamgarpour (ECC, 2019)

Using Uncertainty Data in Chance-Constrained Trajectory Planning. - Vasileios Lefkopoulos; Maryam Kamgarpour (ECC, 2019)

Performance guarantees for greedy maximization of non-submodular controllability metrics. - Tyler H. Summers; Maryam Kamgarpour (ECC, 2019)

No-Regret Learning in Unknown Games with Correlated Payoffs. - Pier Giuseppe Sessa; Ilija Bogunovic; Maryam Kamgarpour; Andreas Krause 001 (NeurIPS, 2019)

Exploiting structure of chance constrained programs via submodularity. - Damian Frick; Pier Giuseppe Sessa; Tony A. Wood; Maryam Kamgarpour (Autom., 2019)

On the Parameterization of Stabilizing Controllers using Closed-loop Responses. - Yang Zheng 001; Luca Furieri; Maryam Kamgarpour; Na Li 002 (CoRR, 2019)

Log Barriers for Safe Non-convex Black-box Optimization. - Ilnura Usmanova; Andreas Krause 001; Maryam Kamgarpour (CoRR, 2019)

No-Regret Learning from Partially Observed Data in Repeated Auctions. - Orcun Karaca; Pier Giuseppe Sessa; Anna Leidi; Maryam Kamgarpour (CoRR, 2019)

An Input-Output Parametrization of Stabilizing Controllers: Amidst Youla and System Level Synthesis. - Luca Furieri; Yang Zheng 001; Antonis Papachristodoulou; Maryam Kamgarpour (IEEE Control. Syst. Lett., 2019)

Unified Approach to Convex Robust Distributed Control Given Arbitrary Information Structures. - Luca Furieri; Maryam Kamgarpour (IEEE Trans. Autom. Control., 2019)

Designing Coalition-Proof Reverse Auctions Over Continuous Goods. - Orcun Karaca; Pier Giuseppe Sessa; Neil Walton; Maryam Kamgarpour (IEEE Trans. Autom. Control., 2019)

Nash and Wardrop Equilibria in Aggregative Games With Coupling Constraints. - Dario Paccagnan; Basilio Gentile; Francesca Parise; Maryam Kamgarpour; John Lygeros (IEEE Trans. Autom. Control., 2019)

Learning Generalized Nash Equilibria in a Class of Convex Games. - Tatiana Tatarenko; Maryam Kamgarpour (IEEE Trans. Autom. Control., 2019)

Strengthening the Group: Aggregated Frequency Reserve Bidding With ADMM. - Felix Rey; Xiaojing Zhang 001; Sandro Merkli; Valentina Agliati; Maryam Kamgarpour; John Lygeros (IEEE Trans. Smart Grid, 2019)

Mixed Strategies for Robust Optimization of Unknown Objectives. - Pier Giuseppe Sessa; Ilija Bogunovic; Maryam Kamgarpour; Andreas Krause 001 (AISTATS, 2020)

First Order Methods For Globally Optimal Distributed Controllers Beyond Quadratic Invariance. - Luca Furieri; Maryam Kamgarpour (ACC, 2020)

Safe Mission Planning under Dynamical Uncertainties. - Yimeng Lu; Maryam Kamgarpour (ICRA, 2020)

Learning the Globally Optimal Distributed LQ Regulator. - Luca Furieri; Yang Zheng 001; Maryam Kamgarpour (L4DC, 2020)

Safe non-smooth black-box optimization with application to policy search. - Ilnura Usmanova; Andreas Krause 001; Maryam Kamgarpour (L4DC, 2020)

Contextual Games: Multi-Agent Learning with Side Information. - Pier Giuseppe Sessa; Ilija Bogunovic; Andreas Krause 001; Maryam Kamgarpour (NeurIPS, 2020)

Learning to Play Sequential Games versus Unknown Opponents. - Pier Giuseppe Sessa; Ilija Bogunovic; Maryam Kamgarpour; Andreas Krause 001 (NeurIPS, 2020)

Sparsity Invariance for Convex Design of Distributed Controllers. - Luca Furieri; Yang Zheng 001; Antonis Papachristodoulou; Maryam Kamgarpour (IEEE Trans. Control. Netw. Syst., 2020)

Distributed Design for Decentralized Control Using Chordal Decomposition and ADMM. - Yang Zheng 001; Maryam Kamgarpour; Aivar Sootla; Antonis Papachristodoulou (IEEE Trans. Control. Netw. Syst., 2020)

Core-Selecting Mechanisms in Electricity Markets. - Orcun Karaca; Maryam Kamgarpour (IEEE Trans. Smart Grid, 2020)

Actuator Placement for Structural Controllability beyond Strong Connectivity and towards Robustness. - Baiwei Guo; Orcun Karaca; Sepide Azhdari; Maryam Kamgarpour; Giancarlo Ferrari-Trecate (CDC, 2021)

Online Submodular Resource Allocation with Applications to Rebalancing Shared Mobility Systems. - Pier Giuseppe Sessa; Ilija Bogunovic; Andreas Krause 001; Maryam Kamgarpour (ICML, 2021)

Fast Projection Onto Convex Smooth Constraints. - Ilnura Usmanova; Maryam Kamgarpour; Andreas Krause 001; Kfir Y. Levy (ICML, 2021)

Sample Complexity of Linear Quadratic Gaussian (LQG) Control for Output Feedback Systems. - Yang Zheng 001; Luca Furieri; Maryam Kamgarpour; Na Li 002 (L4DC, 2021)

Optimal Linear Controller for Minimizing DC Voltage Oscillations in MMC-Based Offshore Multiterminal HVDC Grids. - Atousa Elahidoost; Luca Furieri; Maryam Kamgarpour; Elisabetta Tedeschi (IEEE Access, 2021)

Trajectory planning under environmental uncertainty with finite-sample safety guarantees. - Vasileios Lefkopoulos; Maryam Kamgarpour (Autom., 2021)

Multi-robot task allocation for safe planning under dynamic uncertainties. - Daniel Tihanyi; Yimeng Lu; Orcun Karaca; Maryam Kamgarpour (CoRR, 2021)

A comment on performance guarantees of a greedy algorithm for minimizing a supermodular set function on comatroid. - Orcun Karaca; Baiwei Guo; Maryam Kamgarpour (Eur. J. Oper. Res., 2021)

A market-based approach for enabling inter-area reserve exchange. - Orcun Karaca; Stefanos Delikaraoglou; Maryam Kamgarpour (Oper. Res. Lett., 2021)

Performance guarantees of forward and reverse greedy algorithms for minimizing nonsupermodular nonsubmodular functions on a matroid. - Orcun Karaca; Daniel Tihanyi; Maryam Kamgarpour (Oper. Res. Lett., 2021)

Actuator Placement Under Structural Controllability Using Forward and Reverse Greedy Algorithms. - Baiwei Guo; Orcun Karaca; Tyler H. Summers; Maryam Kamgarpour (IEEE Trans. Autom. Control., 2021)

On the Equivalence of Youla, System-Level, and Input-Output Parameterizations. - Yang Zheng 001; Luca Furieri; Antonis Papachristodoulou; Na Li 002; Maryam Kamgarpour (IEEE Trans. Autom. Control., 2021)

Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation. - Pier Giuseppe Sessa; Maryam Kamgarpour; Andreas Krause 001 (ICML, 2022)

System-level, input-output and new parameterizations of stabilizing controllers, and their numerical computation. - Yang Zheng 001; Luca Furieri; Maryam Kamgarpour; Na Li 002 (Autom., 2022)

On the Rate of Convergence of Payoff-based Algorithms to Nash Equilibrium in Strongly Monotone Games. - Tatiana Tatarenko; Maryam Kamgarpour (CoRR, 2022)

Multi-Agent Goal Assignment with Finite-Time Path Planning. - Tony A. Wood; Maryam Kamgarpour (CoRR, 2022)

Safe Motion Planning Against Multimodal Distributions Based on a Scenario Approach. - Heejin Ahn; Colin Chen; Ian M. Mitchell; Maryam Kamgarpour (IEEE Control. Syst. Lett., 2022)

Safe Zeroth-Order Optimization Using Linear Programs. - Baiwei Guo; Yang Wang 114; Yuning Jiang 002; Maryam Kamgarpour; Giancarlo Ferrari-Trecate (CDC, 2023)

Safe Zeroth-Order Convex Optimization Using Quadratic Local Approximations. - Baiwei Guo; Yuning Jiang 002; Maryam Kamgarpour; Giancarlo Ferrari-Trecate (ECC, 2023)

Multi-robot task allocation for safe planning against stochastic hazard dynamics. - Daniel Tihanyi; Yimeng Lu; Orcun Karaca; Maryam Kamgarpour (ECC, 2023)

Identifiability and Generalizability in Constrained Inverse Reinforcement Learning. - Andreas Schlaginhaufen; Maryam Kamgarpour (ICML, 2023)

Reinforcement learning for scaffold-free construction of spanning structures. - Gabriel Vallat; Jingwen Wang; Anna M. Maddux; Maryam Kamgarpour; Stefana Parascho (SCF, 2023)

Interior Point Constrained Reinforcement Learning with Global Convergence Guarantees. - Tingting Ni; Maryam Kamgarpour (CoRR, 2023)

Learning Nash Equilibria in Zero-Sum Markov Games: A Single Time-scale Algorithm Under Weak Reachability. - Reda Ouhamma; Maryam Kamgarpour (CoRR, 2023)

Chance-Constrained Trajectory Planning With Multimodal Environmental Uncertainty. - Kai Ren; Heejin Ahn; Maryam Kamgarpour (IEEE Control. Syst. Lett., 2023)

Certification of Bottleneck Task Assignment With Shortest Path Criteria. - Tony A. Wood; Maryam Kamgarpour (IEEE Robotics Autom. Lett., 2023)

Multi-Agent Learning in Contextual Games under Unknown Constraints. - Anna M. Maddux; Maryam Kamgarpour (AISTATS, 2024)

A Policy Iteration Algorithm for N-player General-Sum Linear Quadratic Dynamic Games. - Yuxiang Guan; Giulio Salizzoni; Maryam Kamgarpour; Tyler H. Summers (CDC, 2024)

Convergence of a model-free entropy-regularized inverse reinforcement learning algorithm. - Titouan Renard; Andreas Schlaginhaufen; Tingting Ni; Maryam Kamgarpour (CDC, 2024)

Convergence Rate of Learning a Strongly Variationally Stable Equilibrium. - Tatiana Tatarenko; Maryam Kamgarpour (ECC, 2024)

Towards the Transferability of Rewards Recovered via Regularized Inverse Reinforcement Learning. - Andreas Schlaginhaufen; Maryam Kamgarpour (NeurIPS, 2024)

Safe Chance-constrained Model Predictive Control under Gaussian Mixture Model Uncertainty. - Kai Ren; Colin Chen; Hyeontae Sung; Heejin Ahn; Ian M. Mitchell; Maryam Kamgarpour (CoRR, 2024)

Learning to Bid in Forward Electricity Markets Using a No-Regret Algorithm. - Arega Getaneh Abate; Dorsa Majdi; Jalal Kazempour; Maryam Kamgarpour (CoRR, 2024)

Finite-time convergence to an ε-efficient Nash equilibrium in potential games. - Anna M. Maddux; Reda Ouhamma; Maryam Kamgarpour (CoRR, 2024)

Nash equilibria in scalar discrete-time linear quadratic games. - Giulio Salizzoni; Reda Ouhamma; Maryam Kamgarpour (CoRR, 2024)

Log Barriers for Safe Black-box Optimization with Application to Safe Reinforcement Learning. - Ilnura Usmanova; Yarden As; Maryam Kamgarpour; Andreas Krause 001 (J. Mach. Learn. Res., 2024)

Payoff-Based Learning of Nash Equilibria in Merely Monotone Games. - Tatiana Tatarenko; Maryam Kamgarpour (IEEE Trans. Control. Netw. Syst., 2024)

A Safe Exploration Approach to Constrained Markov Decision Processes. - Tingting Ni; Maryam Kamgarpour (AISTATS, 2025)

A learning-based approach to stochastic optimal control under reach-avoid constraint. - Tingting Ni; Maryam Kamgarpour (HSCC, 2025)

Safe zeroth-order optimization using quadratic local approximations. - Baiwei Guo; Yuning Jiang 002; Giancarlo Ferrari-Trecate; Maryam Kamgarpour (Autom., 2025)

Chance-Constrained Linear Quadratic Gaussian Games for Multi-Robot Interaction Under Uncertainty. - Kai Ren; Giulio Salizzoni; Mustafa Emre Gürsoy; Maryam Kamgarpour (IEEE Control. Syst. Lett., 2025)

On the Convergence of Gradient Descent in Scalar Two-Agent Infinite-Horizon LQ Games. - Giulio Salizzoni; Maryam Kamgarpour (IEEE Control. Syst. Lett., 2025)

Convergence rate of payoff-based generalized Nash equilibrium learning. - Tatiana Tatarenko; Maryam Kamgarpour (Eur. J. Control, 2025)

No-Regret Learning in Stackelberg Games with an Application to Electric Ride-Hailing. - Anna M. Maddux; Marko Maljkovic; Nikolas Geroliminis; Maryam Kamgarpour (CoRR, 2025)

Selling Information in Games with Externalities. - Thomas Falconer; Anubhav Ratha; Jalal Kazempour; Pierre Pinson; Maryam Kamgarpour (CoRR, 2025)

Efficient Preference-Based Reinforcement Learning: Randomized Exploration Meets Experimental Design. - Andreas Schlaginhaufen; Reda Ouhamma; Maryam Kamgarpour (CoRR, 2025)

On characterization and existence of a constrained correlated equilibria in Markov games. - Tingting Ni; Anna M. Maddux; Maryam Kamgarpour (CoRR, 2025)

Recursively Feasible Chance-Constrained Model Predictive Control Under Gaussian Mixture Model Uncertainty. - Kai Ren; Colin Chen; Hyeontae Sung; Heejin Ahn; Ian M. Mitchell; Maryam Kamgarpour (IEEE Trans. Control. Syst. Technol., 2025)

Learning to Assemble with Alternative Plans. - Ziqi Wang 006; Wenjun Liu; Jingwen Wang; Gabriel Vallat; Fan Shi 002; Stefana Parascho; Maryam Kamgarpour (ACM Trans. Graph., 2025)