Reachability Algorithm for Biological Piecewise-Affine Hybrid Systems. - Anil Aswani; Claire J. Tomlin (HSCC, 2007)

Topology based control of biological genetic networks. - Anil Aswani; Claire J. Tomlin (CDC, 2008)

Graph-theoretic topological control of biological genetic networks. - Anil Aswani; Nicholas Boyd; Claire J. Tomlin (ACC, 2009)

System identification of hunchback protein patterning in early drosophila embryogenesis. - Anil Aswani; Harendra Guturu; Claire J. Tomlin (CDC, 2009)

Statistics for sparse, high-dimensional, and nonparametric system identification. - Anil Aswani; Peter J. Bickel; Claire J. Tomlin (ICRA, 2009)

Monotone Piecewise Affine Systems. - Anil Aswani; Claire J. Tomlin (IEEE Trans. Autom. Control., 2009)

Computer-aided drug discovery for pathway and genetic diseases. - Anil Aswani; Claire J. Tomlin (CDC, 2010)

Nonparametric identification of regulatory interactions from spatial and temporal gene expression data. - Anil Aswani; Soile V. E. Keränen; James Brown; Charless C. Fowlkes; David W. Knowles; Mark D. Biggin; Peter J. Bickel; Claire J. Tomlin (BMC Bioinform., 2010)

Game-theoretic routing of GPS-assisted vehicles for energy efficiency. - Anil Aswani; Claire J. Tomlin (ACC, 2011)

Incentive design for efficient building quality of service. - Anil Aswani; Claire J. Tomlin (Allerton Conference, 2012)

Extensions of learning-based model predictive control for real-time application to a quadrotor helicopter. - Anil Aswani; Patrick Bouffard; Claire J. Tomlin (ACC, 2012)

Identifying models of HVAC systems using semiparametric regression. - Anil Aswani; Neal Master; Jay Taneja; Virginia Smith; Andrew Krioukov; David E. Culler; Claire J. Tomlin (ACC, 2012)

Verification and control of hybrid systems using reachability analysis with machine learning. - Anil Aswani; Jerry Ding; Haomiao Huang; Michael P. Vitus; Jeremy H. Gillula; Patrick Bouffard; Claire J. Tomlin (HSCC, 2012)

Learning-based model predictive control on a quadrotor: Onboard implementation and experimental results. - Patrick Bouffard; Anil Aswani; Claire J. Tomlin (ICRA, 2012)

Quantitative methods for comparing different HVAC control schemes. - Anil Aswani; Neal Master; Jay Taneja; Andrew Krioukov; David E. Culler; Claire J. Tomlin (VALUETOOLS, 2012)

Energy-Efficient Building HVAC Control Using Hybrid System LBMPC - Anil Aswani; Neal Master; Jay Taneja; Andrew Krioukov; David E. Culler; Claire J. Tomlin (CoRR, 2012)

Statistical Results on Filtering and Epi-convergence for Learning-Based Model Predictive Control - Anil Aswani; Humberto González; S. Shankar Sastry; Claire J. Tomlin (CoRR, 2012)

Reducing Transient and Steady State Electricity Consumption in HVAC Using Learning-Based Model-Predictive Control. - Anil Aswani; Neal Master; Jay Taneja; David E. Culler; Claire J. Tomlin (Proc. IEEE, 2012)

Provably safe and robust learning-based model predictive control. - Anil Aswani; Humberto González; S. Shankar Sastry; Claire J. Tomlin (Autom., 2013)

Positive Low-Rank Tensor Completion. - Anil Aswani (CoRR, 2014)

Practical Comparison of Optimization Algorithms for Learning-Based MPC with Linear Models. - Anil Aswani; Patrick Bouffard; Xiaojing Zhang; Claire J. Tomlin (CoRR, 2014)

A model of phenotypic state dynamics initiates a promising approach to control heterogeneous malignant cell populations. - Margaret P. Chapman; Tyler T. Risom; Anil Aswani; Roel Dobbe; Rosalie C. Sears; Claire J. Tomlin (CDC, 2016)

Low-Rank Approximation and Completion of Positive Tensors. - Anil Aswani (SIAM J. Matrix Anal. Appl., 2016)

Dynamic watermarking for general LTI systems. - Pedro Hespanhol; Matthew Porter; Ram Vasudevan; Anil Aswani (CDC, 2017)

Polynomial-time approximation for nonconvex optimization problems with an L1-constraint. - Yonatan Mintz; Anil Aswani (CDC, 2017)

Local water storage control for the developing world. - Yonatan Mintz; Zuo-Jun Max Shen; Anil Aswani (CDC, 2017)

Non-Stationary Bandits with Habituation and Recovery Dynamics. - Yonatan Mintz; Anil Aswani; Philip M. Kaminsky; Elena Flowers; Yoshimi Fukuoka (CoRR, 2017)

Spectral Algorithms for Computing Fair Support Vector Machines. - Matt Olfat; Anil Aswani (AISTATS, 2018)

Designing Real-Time Prices to Reduce Load Variability with HVAC. - John Audie Cabrera; Yonatan Mintz; Jhoanna Rhodette Pedrasa; Anil Aswani (ACC, 2018)

Family-Personalized Dietary Planning with Temporal Dynamics. - Pedro Hespanhol; Anil Aswani (ACC, 2018)

Statistical Watermarking for Networked Control Systems. - Pedro Hespanhol; Matthew Porter; Ram Vasudevan; Anil Aswani (ACC, 2018)

Control Synthesis for Bilevel Linear Model Predictive Control. - Yonatan Mintz; John Audie Cabrera; Jhoanna Rhodette Pedrasa; Anil Aswani (ACC, 2018)

Duality Approach to Bilevel Programs with a Convex Lower Level. - Aurelien Ouattara; Anil Aswani (ACC, 2018)

Impact of Occupancy Modeling and Horizon Length on HVAC Controller Efficiency. - Christian Rabbi Garaza; Pedro Hespanhol; Yonatan Mintz; Jhoanna Rhodette Pedrasa; Anil Aswani (ECC, 2018)

Personalizing Mobile Fitness Apps using Reinforcement Learning. - Mo Zhou; Yonatan Mintz; Yoshimi Fukuoka; Ken Goldberg; Elena Flowers; Philip M. Kaminsky; Alejandro Castillejo; Anil Aswani (IUI Workshops, 2018)

A Dynamic Regret Analysis and Adaptive Regularization Algorithm for On-Policy Robot Imitation Learning. - Jonathan N. Lee; Michael Laskey; Ajay Kumar Tanwani; Anil Aswani; Ken Goldberg (WAFR, 2018)

Inverse Optimization with Noisy Data. - Anil Aswani; Zuo-Jun Max Shen; Auyon Siddiq (Oper. Res., 2018)

Convex Formulations for Fair Principal Component Analysis. - Matt Olfat; Anil Aswani (AAAI, 2019)

Simulation and Real-World Evaluation of Attack Detection Schemes. - Matthew Porter; Arnav Joshi; Pedro Hespanhol; Anil Aswani; Matthew Johnson-Roberson; Ram Vasudevan (ACC, 2019)

Surrogate Optimal Control for Strategic Multi-Agent Systems. - Pedro Hespanhol; Anil Aswani (CDC, 2019)

Using telephone call rates and nurse-to-patient ratios as measures of resilient performance under high patient flow conditions. - Anne Miller; Anil Aswani; Mo Zhou; Matthew B. Weinger; Jason Slagle; Daniel J. France (Cogn. Technol. Work., 2019)

Behavioral modeling in weight loss interventions. - Anil Aswani; Philip M. Kaminsky; Yonatan Mintz; Elena Flowers; Yoshimi Fukuoka (Eur. J. Oper. Res., 2019)

Data-Driven Incentive Design in the Medicare Shared Savings Program. - Anil Aswani; Zuo-Jun Max Shen; Auyon Siddiq (Oper. Res., 2019)

Applying machine learning to predict future adherence to physical activity programs. - Mo Zhou; Yoshimi Fukuoka; Ken Goldberg; Eric Vittinghoff; Anil Aswani (BMC Medical Informatics Decis. Mak., 2019)

Statistics with set-valued functions: applications to inverse approximate optimization. - Anil Aswani (Math. Program., 2019)

Modeling differentiation-state transitions linked to therapeutic escape in triple-negative breast cancer. - Margaret P. Chapman; Tyler T. Risom; Anil Aswani; Ellen M. Langer; Rosalie C. Sears; Claire J. Tomlin (PLoS Comput. Biol., 2019)

Correction: Modeling differentiation-state transitions linked to therapeutic escape in triple-negative breast cancer. - Margaret P. Chapman; Tyler T. Risom; Anil Aswani; Ellen M. Langer; Rosalie C. Sears; Claire J. Tomlin (PLoS Comput. Biol., 2019)

Detecting Deception Attacks on Autonomous Vehicles via Linear Time-Varying Dynamic Watermarking. - Matthew Porter; Sidhartha Dey; Arnav Joshi; Pedro Hespanhol; Anil Aswani; Matthew Johnson-Roberson; Ram Vasudevan (CCTA, 2020)

Average Margin Regularization for Classifiers. - Matt Olfat; Anil Aswani (CDC, 2020)

Covariance-Robust Dynamic Watermarking. - Matt Olfat; Stephen Sloan; Pedro Hespanhol; Matthew Porter; Ram Vasudevan; Anil Aswani (CDC, 2020)

Hypothesis Testing Approach to Detecting Collusion in Competitive Environments. - Pedro Hespanhol; Anil Aswani (VALUETOOLS, 2020)

Statistical Consistency of Set-Membership Estimator for Linear Systems. - Pedro Hespanhol; Anil Aswani (IEEE Control. Syst. Lett., 2020)

Nonstationary Bandits with Habituation and Recovery Dynamics. - Yonatan Mintz; Anil Aswani; Philip M. Kaminsky; Elena Flowers; Yoshimi Fukuoka (Oper. Res., 2020)

Mechanistic Crop Growth Model Predictive Control for Precision Irrigation in Rice. - John Audie Cabrera; Jhoanna Rhodette Pedrasa; Ando Mariot Radanielson; Anil Aswani (ECC, 2021)

Resilient Control of Platooning Networked Robitic Systems via Dynamic Watermarking. - Matthew Porter; Arnav Joshi; Sidhartha Dey; Qirui Wu; Pedro Hespanhol; Anil Aswani; Matthew Johnson-Roberson; Ram Vasudevan (CoRR, 2021)

Protecting Anonymous Speech: A Generative Adversarial Network Methodology for Removing Stylistic Indicators in Text. - Rishi Balakrishnan; Stephen Sloan; Anil Aswani (CoRR, 2021)

Learning from learning machines: a new generation of AI technology to meet the needs of science. - Luca Pion-Tonachini; Kristofer E. Bouchard; Héctor García Martín; Sean Peisert; W. Bradley Holtz; Anil Aswani; Dipankar Dwivedi; Haruko M. Wainwright; Ghanshyam Pilania; Benjamin Nachman; Babetta L. Marrone; Nicola Falco; et al. (CoRR, 2021)

Dynamic regret convergence analysis and an adaptive regularization algorithm for on-policy robot imitation learning. - Jonathan N. Lee; Michael Laskey; Ajay Kumar Tanwani; Anil Aswani; Ken Goldberg (Int. J. Robotics Res., 2021)

Logarithmic sample bounds for Sample Average Approximation with capacity- or budget-constraints. - Caleb Bugg; Anil Aswani (Oper. Res. Lett., 2021)

Sensor Switching Control Under Attacks Detectable by Finite Sample Dynamic Watermarking Tests. - Pedro Hespanhol; Matthew Porter; Ramanarayan Vasudevan; Anil Aswani (IEEE Trans. Autom. Control., 2021)

Detecting Generalized Replay Attacks via Time-Varying Dynamic Watermarking. - Matthew Porter; Pedro Hespanhol; Anil Aswani; Matthew Johnson-Roberson; Ramanarayan Vasudevan (IEEE Trans. Autom. Control., 2021)

Optimally Designing Cybersecurity Insurance Contracts to Encourage the Sharing of Medical Data. - Yoon Lee; Anil Aswani (CDC, 2022)

Nonnegative Tensor Completion via Integer Optimization. - Caleb Bugg; Chen Chen 026; Anil Aswani (NeurIPS, 2022)

Accelerated Nonnegative Tensor Completion via Integer Programming. - Wenhao Pan; Anil Aswani; Chen Chen 026 (CoRR, 2022)

When would online platforms pay data dividends? - Sukanya Kudva; Anil Aswani (ACC, 2023)

Repeated Principal-Agent Games with Unobserved Agent Rewards and Perfect-Knowledge Agents. - Ilgin Dogan; Zuo-Jun Max Shen; Anil Aswani (CoRR, 2023)

Estimating and Incentivizing Imperfect-Knowledge Agents with Hidden Rewards. - Ilgin Dogan; Zuo-Jun Max Shen; Anil Aswani (CoRR, 2023)

Accelerated non-negative tensor completion via integer programming. - Wenhao Pan; Anil Aswani; Chen Chen 026 (Frontiers Appl. Math. Stat., 2023)

Behavioral analytics for myopic agents. - Yonatan Mintz; Anil Aswani; Philip M. Kaminsky; Elena Flowers; Yoshimi Fukuoka (Eur. J. Oper. Res., 2023)

Optimal Contract Design for End-of-Life Care Payments. - Muyan Jiang; Ying Chen; Xin Chen 089; Javad Lavaei; Anil Aswani (CDC, 2024)

Understanding the Impact of Coalitions between EV Charging Stations. - Sukanya Kudva; Kshitij Kulkarni; Chinmay Maheshwari; Anil Aswani; Shankar Sastry 001 (CDC, 2024)

Tensor Completion via Integer Optimization. - Xin Chen 089; Sukanya Kudva; Yongzheng Dai; Anil Aswani; Chen Chen 026 (CoRR, 2024)

Methodology for Interpretable Reinforcement Learning for Optimizing Mechanical Ventilation. - Joo Seung Lee; Malini Mahendra; Anil Aswani (CoRR, 2024)

Regret Analysis of Learning-Based MPC With Partially Unknown Cost Function. - Ilgin Dogan; Zuo-Jun Max Shen; Anil Aswani (IEEE Trans. Autom. Control., 2024)

Learning Interactions Between Continuous Treatments and Covariates with a Semiparametric Model. - Muyan Jiang; Yunkai Zhang; Anil Aswani (CHIL, 2025)