3D Pose Tracking with Linear Depth and Brightness Constraints. - Michael Harville; Ali Rahimi; Trevor Darrell; Gaile G. Gordon; John Woodfill (ICCV, 1999)

Articulated-Pose Estimation Using Brightness and Depth-Constancy Constraints. - Michele Covell; Ali Rahimi; Michael Harville; Trevor Darrell (CVPR, 2000)

Reducing Drift in Parametric Motion Tracking. - Ali Rahimi; Louis-Philippe Morency; Trevor Darrell (ICCV, 2001)

Fast 3D Model Acquisition from Stereo Images. - Louis-Philippe Morency; Ali Rahimi; Trevor Darrell (3DPVT, 2002)

Fast Stereo-Based Head Tracking for Interactive Environments. - Louis-Philippe Morency; Ali Rahimi; Neal Checka; Trevor Darrell (FGR, 2002)

Face-Responsive Interfaces: From Direct Manipulation to Perceptive Presence. - Trevor Darrell; Konrad Tollmar; Frank Bentley; Neal Checka; Louis-Philippe Morency; Ali Rahimi; Alice Oh (UbiComp, 2002)

Bayesian network for online global pose estimation. - Ali Rahimi; Trevor Darrell (IROS, 2002)

Location Estimation with a Differential Update Network. - Ali Rahimi; Trevor Darrell (NIPS, 2002)

Adaptive View-Based Appearance Models. - Louis-Philippe Morency; Ali Rahimi; Trevor Darrell (CVPR (1), 2003)

Simultaneous Calibration and Tracking with a Network of Non-Overlapping Sensors. - Ali Rahimi; Brian Dunagan; Trevor Darrell (CVPR (1), 2004)

Tracking People with a Sparse Network of Bearing Sensors. - Ali Rahimi; Brian Dunagan; Trevor Darrell (ECCV (4), 2004)

Learning Appearance Manifolds from Video. - Ali Rahimi; Ben Recht; Trevor Darrell (CVPR (1), 2005)

Learning to transform time series with a few examples. - Ali Rahimi (2005)

Simultaneous localization, calibration, and tracking in an ad hoc sensor network. - Christopher Taylor; Ali Rahimi; Jonathan Bachrach; Howard E. Shrobe; Anthony Grue (IPSN, 2006)

Unsupervised Regression with Applications to Nonlinear System Identification. - Ali Rahimi; Ben Recht (NIPS, 2006)

Random Features for Large-Scale Kernel Machines. - Ali Rahimi; Benjamin Recht (NIPS, 2007)

Learning to Transform Time Series with a Few Examples. - Ali Rahimi; Ben Recht; Trevor Darrell (IEEE Trans. Pattern Anal. Mach. Intell., 2007)

Uniform approximation of functions with random bases. - Ali Rahimi; Benjamin Recht (Allerton, 2008)

Weighted Sums of Random Kitchen Sinks: Replacing minimization with randomization in learning. - Ali Rahimi; Benjamin Recht (NIPS, 2008)

Reducing drift in differential tracking. - Ali Rahimi; Louis-Philippe Morency; Trevor Darrell (Comput. Vis. Image Underst., 2008)

The Mobile Sensing Platform: An Embedded Activity Recognition System. - Tanzeem Choudhury; Gaetano Borriello; Sunny Consolvo; Dirk Hähnel; Beverly L. Harrison; Bruce Hemingway; Jeffrey Hightower; Predrag V. Klasnja; Karl Koscher; Anthony LaMarca; James A. Landay; Louis LeGrand; et al. (IEEE Pervasive Comput., 2008)

Attaching UI enhancements to websites with end users. - Michael Toomim; Steven Mark Drucker; Mira Dontcheva; Ali Rahimi; Blake Thomson; James A. Landay (CHI, 2009)

Similarity-based Classification: Concepts and Algorithms. - Yihua Chen 003; Eric K. Garcia; Maya R. Gupta; Ali Rahimi; Luca Cazzanti (J. Mach. Learn. Res., 2009)

A numerical optimization-based methodology for application robustification: Transforming applications for error tolerance. - Joseph Sloan; David Kesler; Rakesh Kumar 002; Ali Rahimi (DSN, 2010)

Communication protocols for distributed reasoning in expert systems. - Mahmoud Naghibzadeh; Ali Rahimi (IWACI, 2010)

Random Conic Pursuit for Semidefinite Programming. - Ariel Kleiner; Ali Rahimi; Michael I. Jordan (NIPS, 2010)

Semi-Supervised Learning with Max-Margin Graph Cuts. - Branislav Kveton; Michal Valko; Ali Rahimi; Ling Huang (AISTATS, 2010)

An Improved Artificial Weed Colony for Continuous Optimization. - Ali Rahimi; Milad Ahangaran; Pezhman Ramezani; Tarlan Kashkooli (EMS, 2011)

Structure Learning for Optimization. - Shulin Yang; Ali Rahimi (NIPS, 2011)

The positive effect of conference participation on reducing L2 communication apprehension. - Rieko Matsuoka; Ali Rahimi (WCIT, 2011)

Complementary Kernel Density Estimation. - Xu Miao; Ali Rahimi; Rajesh P. N. Rao (Pattern Recognit. Lett., 2012)

An estimative approach for CVR effectiveness using aggregated load modeling. - Musie Tesfasilassie; Mahyar Zarghami; Mohammad Vaziri; Ali Rahimi (ISGT, 2014)

Framework for Smart Containers in the Physical Internet. - Ali Rahimi; Yves Sallez; Thierry Berger (SOHOMA, 2015)

Multimachine power system stabilizer based on optimal multistage fuzzy PID attendant honey bee mating optimization. - Homayoun Ebrahimian; Abbas Rahimi Gollou; Farshad Bayramzadeh; Ali Rahimi (Complex., 2016)

Winner's Curse? On Pace, Progress, and Empirical Rigor. - D. Sculley; Jasper Snoek; Alexander B. Wiltschko; Ali Rahimi (ICLR (Workshop), 2018)

Convergence Results for Neural Networks via Electrodynamics. - Rina Panigrahy; Ali Rahimi; Sushant Sachdeva; Qiuyi Zhang 001 (ITCS, 2018)

The Design and Implementation of a VR Gun Controller with Haptic Feedback. - Ali Rahimi; Het Patel; Hammad Ajmal; Sasan Haghani (ICCE, 2019)

Faster Algorithms for Binary Matrix Factorization. - Ravi Kumar 001; Rina Panigrahy; Ali Rahimi; David P. Woodruff (ICML, 2019)

A VR gun controller with Recoil Adjustability. - Ali Rahimi; Jackson Zhou; Sasan Haghani (ICCE, 2020)

Selecting wood supply contracts under uncertainty using stochastic programming. - Ali Rahimi; Mikael Rönnqvist; Luc LeBel; Jean-François Audy (INFOR Inf. Syst. Oper. Res., 2021)

Multi-Party Proof Generation in QAP-Based zk-SNARKs. - Ali Rahimi; Mohammad Ali Maddah-Ali (IEEE J. Sel. Areas Inf. Theory, 2021)

Evaluation of sourcing contracts in wood supply procurement using simulation. - Ali Rahimi; Mikael Rönnqvist; Luc LeBel; Jean-François Audy (Int. Trans. Oper. Res., 2022)

A Novel Metaverse-as-a-Service Architecture from an Operator View. - Vesal Ahsani; Ali Rahimi; Mehdi Letafati; Babak Hossein Khalaj (MetaCom, 2023)

Unlocking Metaverse-as-a-Service The three pillars to watch: Privacy and Security, Edge Computing, and Blockchain. - Vesal Ahsani; Ali Rahimi; Mehdi Letafati; Babak Hossein Khalaj (CoRR, 2023)

Learning to Detect Touches on Cluttered Tables. - Norberto Adrián Goussies; Kenji Hata; Shruthi Prabhakara; Abhishek Amit; Tony Aubé; Carl Cepress; Diana Chang; Li-Te Cheng; Horia Stefan Ciurdar; Mike Cleron; Chelsey Fleming; Ashwin Ganti; et al. (CoRR, 2023)

Accelerating spiking neural network simulations with PymoNNto and PymoNNtorch. - Marius N. Vieth; Ali Rahimi; Ashena Gorgan Mohammadi; Jochen Triesch; Mohammad Ganjtabesh (Frontiers Neuroinformatics, 2024)

Range-Arithmetic: Verifiable Deep Learning Inference on an Untrusted Party. - Ali Rahimi; Babak H. Khalaj; Mohammad Ali Maddah-Ali (CoRR, 2025)