Interlacing Intraframes in Multiple-Description Video Coding. - Ermin Kozica; Dave Zachariah; W. Bastiaan Kleijn (ICIP (4), 2007)

Joint calibration of an inertial measurement unit and coordinate transformation parameters using a monocular camera. - Dave Zachariah; Magnus Jansson (IPIN, 2010)

Self-motion and wind velocity estimation for small-scale UAVs. - Dave Zachariah; Magnus Jansson (ICRA, 2011)

Mirror Based IMU-camera and Internal Camera Calibration. - Ghazaleh Panahandeh; Dave Zachariah; Magnus Jansson (RVSP, 2011)

Dynamic subspace pursuit. - Dave Zachariah; Saikat Chatterjee; Magnus Jansson (ICASSP, 2012)

Fusing the information from two navigation systems using an upper bound on their maximum spatial separation. - Isaac Skog; John-Olof Nilsson; Dave Zachariah; Peter Händel (IPIN, 2012)

A constraint approach for UWB and PDR fusion. - Francisco Zampella; Alessio De Angelis; Isaac Skog; Dave Zachariah; Antonio Ramón Jiménez (IPIN, 2012)

Mean square error reduction by precoding of mixed Gaussian input. - John T. Flåm; Mikko Vehkaperä; Dave Zachariah; Efthymios Tsakonas (ISITA, 2012)

Alternating Least-Squares for Low-Rank Matrix Reconstruction. - Dave Zachariah; Martin Sundin; Magnus Jansson; Saikat Chatterjee (IEEE Signal Process. Lett., 2012)

Bayesian Estimation With Distance Bounds. - Dave Zachariah; Isaac Skog; Magnus Jansson; Peter Händel (IEEE Signal Process. Lett., 2012)

Dynamic Iterative Pursuit. - Dave Zachariah; Saikat Chatterjee; Magnus Jansson (IEEE Trans. Signal Process., 2012)

Enhanced Capon beamformer using regularized covariance matching. - Dave Zachariah; Magnus Jansson; Saikat Chatterjee (CAMSAP, 2013)

An achievable measurement rate-MSE tradeoff in compressive sensing through partial support recovery. - Ricardo Blasco-Serrano; Dave Zachariah; Dennis Sundman; Ragnar Thobaben; Mikael Skoglund (ICASSP, 2013)

Distributed predictive subspace pursuit. - Dennis Sundman; Dave Zachariah; Saikat Chatterjee; Mikael Skoglund (ICASSP, 2013)

Iteratively reweighted least squares for reconstruction of low-rank matrices with linear structure. - Dave Zachariah; Saikat Chatterjee; Magnus Jansson (ICASSP, 2013)

Cooperative localization by dual foot-mounted inertial sensors and inter-agent ranging. - John-Olof Nilsson; Dave Zachariah; Isaac Skog; Peter Händel (EURASIP J. Adv. Signal Process., 2013)

Cooperative Decentralized Localization Using Scheduled Wireless Transmissions. - Satyam Dwivedi; Dave Zachariah; Alessio De Angelis; Peter Händel (IEEE Commun. Lett., 2013)

Line spectrum estimation with probabilistic priors. - Dave Zachariah; Petter Wirfält; Magnus Jansson; Saikat Chatterjee (Signal Process., 2013)

Self-Localization of Asynchronous Wireless Nodes With Parameter Uncertainties. - Dave Zachariah; Alessio De Angelis; Satyam Dwivedi; Peter Händel (IEEE Signal Process. Lett., 2013)

Utilization of Noise-Only Samples in Array Processing With Prior Knowledge. - Dave Zachariah; Magnus Jansson; Mats Bengtsson (IEEE Signal Process. Lett., 2013)

The Linear Model Under Mixed Gaussian Inputs: Designing the Transfer Matrix. - John T. Flåm; Dave Zachariah; Mikko Vehkaperä; Saikat Chatterjee (IEEE Trans. Signal Process., 2013)

Gridless compressive-sensing methods for frequency estimation: Points of tangency and links to basics. - Petre Stoica; Gongguo Tang; Zai Yang; Dave Zachariah (EUSIPCO, 2014)

Minimum sidelobe beampattern design for MIMO radar systems: A robust approach. - Nafiseh Shariati; Dave Zachariah; Mats Bengtsson (ICASSP, 2014)

Weighted SPICE: A unifying approach for hyperparameter-free sparse estimation. - Petre Stoica; Dave Zachariah; Jian Li 001 (Digit. Signal Process., 2014)

Schedule-based sequential localization in asynchronous wireless networks. - Dave Zachariah; Alessio De Angelis; Satyam Dwivedi; Peter Händel (EURASIP J. Adv. Signal Process., 2014)

A Measurement Rate-MSE Tradeoff for Compressive Sensing Through Partial Support Recovery. - Ricardo Blasco-Serrano; Dave Zachariah; Dennis Sundman; Ragnar Thobaben; Mikael Skoglund (IEEE Trans. Signal Process., 2014)

Estimation for the Linear Model With Uncertain Covariance Matrices. - Dave Zachariah; Nafiseh Shariati; Mats Bengtsson; Magnus Jansson; Saikat Chatterjee (IEEE Trans. Signal Process., 2014)

Robust Optimal Power Distribution for Hyperthermia Cancer Treatment. - Nafiseh Shariati; Dave Zachariah; Johan Karlsson; Mats Bengtsson (CoRR, 2015)

Joint Ranging and Clock Parameter Estimation by Wireless Round Trip Time Measurements. - Satyam Dwivedi; Alessio De Angelis; Dave Zachariah; Peter Handel (IEEE J. Sel. Areas Commun., 2015)

Cramér-Rao Bound Analog of Bayes' Rule [Lecture Notes]. - Dave Zachariah; Petre Stoica (IEEE Signal Process. Mag., 2015)

Online Hyperparameter-Free Sparse Estimation Method. - Dave Zachariah; Petre Stoica (IEEE Trans. Signal Process., 2015)

Online prediction of spatial fields for radio-frequency communication. - Dave Zachariah; Niklas Jaldén; Petre Stoica (EUSIPCO, 2016)

Scalable and Passive Wireless Network Clock Synchronization. - Dave Zachariah; Satyam Dwivedi; Peter Händel; Petre Stoica (CoRR, 2016)

Recursive Identification Method for Piecewise ARX Models: A Sparse Estimation Approach. - Per Mattsson; Dave Zachariah; Petre Stoica (IEEE Trans. Signal Process., 2016)

Prediction Performance After Learning in Gaussian Process Regression. - Johan Wågberg; Dave Zachariah; Thomas B. Schön; Petre Stoica (AISTATS, 2017)

Online Learning for Distribution-Free Prediction. - Dave Zachariah; Petre Stoica; Thomas B. Schön (CoRR, 2017)

How consistent is my model with the data? Information-Theoretic Model Check. - Andreas Svensson; Dave Zachariah; Thomas B. Schön (CoRR, 2017)

Comments on "Enhanced PUMA for Direction-of-Arrival Estimation and Its Performance Analysis". - Dave Zachariah; Petre Stoica; Magnus Jansson (IEEE Trans. Signal Process., 2017)

Scalable and Passive Wireless Network Clock Synchronization in LOS Environments. - Dave Zachariah; Satyam Dwivedi; Peter Händel; Petre Stoica (IEEE Trans. Wirel. Commun., 2017)

Regularized parametric system identification: a decision-theoretic formulation. - Johan Wågberg; Dave Zachariah; Thomas B. Schön (ACC, 2018)

Learning Localized Spatio-Temporal Models From Streaming Data. - Muhammad Osama 001; Dave Zachariah; Thomas B. Schön (ICML, 2018)

Recursive nonlinear-system identification using latent variables. - Per Mattsson; Dave Zachariah; Petre Stoica (Autom., 2018)

Robust Semi-Supervised Learning when Labels are Missing at Random. - Xiuming Liu 001; Dave Zachariah; Johan Wågberg (CoRR, 2018)

Flexible Models for Smart Maintenance. - Per Mattsson; Dave Zachariah; Niclas Björsell (ICIT, 2019)

Inferring Heterogeneous Causal Effects in Presence of Spatial Confounding. - Muhammad Osama 001; Dave Zachariah; Thomas B. Schön (ICML, 2019)

Prediction of Spatial Point Processes: Regularized Method with Out-of-Sample Guarantees. - Muhammad Osama 001; Dave Zachariah; Peter Stoica (NeurIPS, 2019)

Calibration tests in multi-class classification: A unifying framework. - David Widmann; Fredrik Lindsten; Dave Zachariah (NeurIPS, 2019)

Data Consistency Approach to Model Validation. - Andreas Lindholm; Dave Zachariah; Petre Stoica; Thomas B. Schön (IEEE Access, 2019)

Robust Risk Minimization for Statistical Learning. - Muhammad Osama 001; Dave Zachariah; Peter Stoica (CoRR, 2019)

Learning Sparse Graphs for Prediction of Multivariate Data Processes. - Arun Venkitaraman; Dave Zachariah (IEEE Signal Process. Lett., 2019)

Effect Inference From Two-Group Data With Sampling Bias. - Dave Zachariah; Petre Stoica (IEEE Signal Process. Lett., 2019)

A latent variable approach to heat load prediction in thermal grids. - Johan Simonsson; Khalid Tourkey Atta; Dave Zachariah; Wolfgang Birk (ECC, 2020)

Approximate Gaussian Process Regression and Performance Analysis Using Composite Likelihood. - Xiuming Liu 001; Dave Zachariah; Edith C. H. Ngai (MLSP, 2020)

Learning Robust Decision Policies from Observational Data. - Muhammad Osama 001; Dave Zachariah; Peter Stoica (NeurIPS, 2020)

Inference of Causal Effects when Adjustment Sets are Unknown. - Ludvig Hult; Dave Zachariah (CoRR, 2020)

Robust Prediction When Features are Missing. - Xiuming Liu 001; Dave Zachariah; Petre Stoica (IEEE Signal Process. Lett., 2020)

Calibration tests beyond classification. - David Widmann; Fredrik Lindsten; Dave Zachariah (ICLR, 2021)

Inference of causal effects when control variables are unknown. - Ludvig Hult; Dave Zachariah (UAI, 2021)

Distributionally Robust Learning in Heterogeneous Contexts. - Muhammad Osama 001; Dave Zachariah; Petre Stoica (CoRR, 2021)

Robust localization in wireless networks from corrupted signals. - Muhammad Osama 001; Dave Zachariah; Satyam Dwivedi; Petre Stoica (EURASIP J. Adv. Signal Process., 2021)

Scalable Belief Updating for Urban Air Quality Modeling and Prediction. - Xiuming Liu 001; Edith C. H. Ngai; Dave Zachariah (Trans. Data Sci., 2021)

Learning Pareto-Efficient Decisions with Confidence. - Sofia Ek; Dave Zachariah; Peter Stoica (AISTATS, 2022)

Surprises in adversarially-trained linear regression. - Antônio H. Ribeiro; Dave Zachariah; Thomas B. Schön (CoRR, 2022)

Regularization properties of adversarially-trained linear regression. - Antônio H. Ribeiro; Dave Zachariah; Francis R. Bach; Thomas B. Schön (NeurIPS, 2023)

Offline Policy Evaluation with Out-of-Sample Guarantees. - Sofia Ek; Dave Zachariah (CoRR, 2023)

Externally Valid Policy Evaluation Combining Trial and Observational Data. - Sofia Ek; Dave Zachariah (CoRR, 2023)

Adaptive Parameter-Free Robust Learning using Latent Bernoulli Variables. - Aleksandr Karakulev; Dave Zachariah; Prashant Singh (CoRR, 2023)

Min-Max Probe Placement and Extended Relaxation Estimation Method for Processing Blade Tip Timing Signals. - Zengkun Wang; Petre Stoica; Dave Zachariah; Prabhu Babu; Zhibo Yang 001 (IEEE Trans. Instrum. Meas., 2023)

Off-Policy Evaluation with Out-of-Sample Guarantees. - Sofia Ek; Dave Zachariah; Fredrik D. Johansson; Peter Stoica (Trans. Mach. Learn. Res., 2023)

Diagnostic Tool for Out-of-Sample Model Evaluation. - Ludvig Hult; Dave Zachariah; Peter Stoica (Trans. Mach. Learn. Res., 2023)

Online Learning for Prediction via Covariance Fitting: Computation, Performance and Robustness. - Muhammad Osama 001; Dave Zachariah; Peter Stoica; Thomas B. Schön (Trans. Mach. Learn. Res., 2023)

Regularized Linear Regression via Covariance Fitting. - Per Mattsson; Dave Zachariah; Petre Stoica (IEEE Trans. Signal Process., 2023)

Analysis of the Minimum-Norm Least-Squares Estimator and Its Double-Descent Behavior [Lecture Notes]. - Per Mattsson; Dave Zachariah; Petre Stoica (IEEE Signal Process. Mag., 2023)

Safe Output Feedback Improvement with Baselines. - Ruoqi Zhang; Per Mattsson; Dave Zachariah (CDC, 2024)

Experimental Characterization of a Robust Localization Method Based on UWB Ranging. - Valerio Brunacci; Alessio De Angelis; Dave Zachariah (I2MTC, 2024)

Adaptive Robust Learning using Latent Bernoulli Variables. - Aleksandr Karakulev; Dave Zachariah; Prashant Singh (ICML, 2024)

Externally Valid Policy Evaluation from Randomized Trials Using Additional Observational Data. - Sofia Ek; Dave Zachariah (NeurIPS, 2024)

Certified Inventory Control of Critical Resources. - Ludvig Hult; Dave Zachariah; Petre Stoica (CoRR, 2024)

Efficient Optimization Algorithms for Linear Adversarial Training. - Antônio H. Ribeiro; Thomas B. Schön; Dave Zachariah; Francis Bach 001 (AISTATS, 2025)

Adaptive Input Design for Nonlinear System Identification with Operational Constraints. - Jingwei Hu; Dave Zachariah; Torbjörn Wigren; Petre Stoica (CoRR, 2025)

Learning Treatment Allocations with Risk Control Under Partial Identifiability. - Sofia Ek; Dave Zachariah (CoRR, 2025)