Richard G. Baraniuk
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
198
Venues
30
Active years
1991–2026
Best venue rank
A*
Where they publish
- MulticonferenceICASSP60 papers
- BICIP23 papers
- AAIED19 papers
- BEDM13 papers
- A*ICML11 papers
- A*ICLR11 papers
- A*EMNLP6 papers
- AAISTATS6 papers
- BISIT6 papers
- NationalCISS5 papers
- A*CVPR4 papers
- NationalACSSC4 papers
- BDCC4 papers
- A*ECCV3 papers
- BGLOBECOM3 papers
- ALAK2 papers
- BICCP2 papers
- CISCAS2 papers
- A*INFOCOM2 papers
- A*SIGMETRICS2 papers
- AEACL1 paper
- AWACV1 paper
- A*AAAI1 paper
- BCOLING1 paper
- A*IJCAI1 paper
- ASDM1 paper
- A*KDD1 paper
- BDCOSS1 paper
- CVCIP1 paper
- BSGP1 paper
Papers
198 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AIED | A Randomized Blind Comparison of SME and LLM-Generated Active Learning Tasks for Math Classes. | Katie Bainbridge, Jack Strelich, Debshila Basu Mallick, Richard G. Baraniuk |
| 2026 | AIED | Learning Context Matters: Measuring and Diagnosing Personalization Gaps in LLM-Based Instructional Design. | Johaun Hatchett, Debshila Basu Mallick, Brittany C. Bradford, Richard G. Baraniuk |
| 2026 | AIED | Circuit Complexity of Hierarchical Knowledge Tracing. | Naiming Liu, Richard G. Baraniuk, Shashank Sonkar |
| 2026 | AIED | Misconception Acquisition Dynamics in Large Language Models. | Naiming Liu, Xinghe Chen, Richard G. Baraniuk, Mrinmaya Sachan, Shashank Sonkar |
| 2026 | EACL | CLEAR-3K: Assessing Causal Explanatory Capabilities in Language Models. | Naiming Liu, Richard G. Baraniuk, Shashank Sonkar |
| 2025 | AIED | Do LLMs Make Mistakes Like Students? Exploring Natural Alignments Between Language Models and Human Error Patterns. | Naiming Liu, Shashank Sonkar, Richard G. Baraniuk |
| 2025 | AIED | Training LLM-Based Tutors to Improve Student Learning Outcomes in Dialogues. | Alexander Scarlatos, Naiming Liu, Jaewook Lee, Richard G. Baraniuk, Andrew S. Lan |
| 2025 | AIED | Many-Shot Regurgitation Prompting. | Shashank Sonkar, Naiming Liu, Richard G. Baraniuk |
| 2025 | AIED | Turing-Like Test for Personalized Educational AI. | Shashank Sonkar, Naiming Liu, Xinghe Chen, Richard G. Baraniuk |
| 2025 | ICASSP | Estimating the Number and Locations of Boundaries in Reverberant Environments with Deep Learning. | Toros Arikan, Luca M. Chackalackal, Fatima Ahsan, Konrad Tittel, Andrew C. Singer, Gregory W. Wornell, Richard G. Baraniuk |
| 2025 | ICML | Mitigating over-Exploration in Latent Space Optimization using les. | Omer Ronen, Ahmed Imtiaz Humayun, Richard G. Baraniuk, Randall Balestriero, Bin Yu |
| 2025 | LAK | Atomic Learning Objectives and LLMs Labeling: A High-Resolution Approach for Physics Education. | Naiming Liu, Shashank Sonkar, Debshila Basu Mallick, Richard G. Baraniuk, Zhongzhou Chen |
| 2024 | AIED | Marking: Visual Grading with Highlighting Errors and Annotating Missing Bits. | Shashank Sonkar, Naiming Liu, Debshila Basu Mallick, Richard G. Baraniuk |
| 2024 | AIED | Automated Long Answer Grading with RiceChem Dataset. | Shashank Sonkar, Kangqi Ni, Lesa Tran Lu, Kristi Kincaid, John S. Hutchinson, Richard G. Baraniuk |
| 2024 | EMNLP | Student Data Paradox and Curious Case of Single Student-Tutor Model: Regressive Side Effects of Training LLMs for Personalized Learning. | Shashank Sonkar, Naiming Liu, Richard G. Baraniuk |
| 2024 | EMNLP | MalAlgoQA: Pedagogical Evaluation of Counterfactual Reasoning in Large Language Models and Implications for AI in Education. | Shashank Sonkar, Naiming Liu, Myco Le, Richard G. Baraniuk |
| 2024 | EMNLP | Pedagogical Alignment of Large Language Models. | Shashank Sonkar, Kangqi Ni, Sapana Chaudhary, Richard G. Baraniuk |
| 2024 | ICASSP | Titan: Bringing the Deep Image Prior to Implicit Representations. | Lorenzo Luzi, Daniel LeJeune, Ali Siahkoohi, Sina Alemohammad, Vishwanath Saragadam, Hossein Babaei, Naiming Liu, Zichao Wang, Richard G. Baraniuk |
| 2024 | ICLR | Self-Consuming Generative Models Go MAD. | Sina Alemohammad, Josue Casco-Rodriguez, Lorenzo Luzi, Ahmed Imtiaz Humayun, Hossein Babaei, Daniel LeJeune, Ali Siahkoohi, Richard G. Baraniuk |
| 2024 | ICLR | Implicit Neural Representations and the Algebra of Complex Wavelets. | T. Mitchell Roddenberry, Vishwanath Saragadam, Maarten V. de Hoop, Richard G. Baraniuk |
| 2024 | ICML | Deep Networks Always Grok and Here is Why. | Ahmed Imtiaz Humayun, Randall Balestriero, Richard G. Baraniuk |
| 2024 | ICML | PIDformer: Transformer Meets Control Theory. | Tam Minh Nguyen, Csar A. Uribe, Tan Minh Nguyen, Richard G. Baraniuk |
| 2024 | LAK | Code Soliloquies for Accurate Calculations in Large Language Models. | Shashank Sonkar, Xinghe Chen, Myco Le, Naiming Liu, Debshila Basu Mallick, Richard G. Baraniuk |
| 2023 | AIED | Towards the Future of AI-Augmented Human Tutoring in Math Learning. | Vincent Aleven, Richard G. Baraniuk, Emma Brunskill, Scott A. Crossley, Dora Demszky, Stephen Fancsali, Shivang Gupta, Kenneth R. Koedinger, Chris Piech, Steven Ritter, Danielle R. Thomas, Simon Woodhead, Wanli Xing |
| 2023 | AIED | A Case Study using Large Language Models to Generate Metadata for Math Questions. | Katie Bainbridge, Candace A. Walkington, Armon Ibrahim, Iris Zhong, Debshila Basu Mallick, Julianna Washington, Richard G. Baraniuk |
| 2023 | AIED | Deduction under Perturbed Evidence: Probing Student Simulation (Knowledge Tracing) Capabilities of Large Language Models. | Shashank Sonkar, Richard G. Baraniuk |
| 2023 | AISTATS | A Blessing of Dimensionality in Membership Inference through Regularization. | Jasper Tan, Daniel LeJeune, Blake Mason, Hamid Javadi, Richard G. Baraniuk |
| 2023 | CVPR | SplineCam: Exact Visualization and Characterization of Deep Network Geometry and Decision Boundaries. | Ahmed Imtiaz Humayun, Randall Balestriero, Guha Balakrishnan, Richard G. Baraniuk |
| 2023 | CVPR | WIRE: Wavelet Implicit Neural Representations. | Vishwanath Saragadam, Daniel LeJeune, Jasper Tan, Guha Balakrishnan, Ashok Veeraraghavan, Richard G. Baraniuk |
| 2023 | EMNLP | CLASS: A Design Framework for Building Intelligent Tutoring Systems Based on Learning Science principles. | Shashank Sonkar, Naiming Liu, Debshila Basu Mallick, Richard G. Baraniuk |
| 2023 | ICASSP | A Probabilistic Framework for Pruning Transformers Via a Finite Admixture of Keys. | Tan M. Nguyen, Tam Nguyen, Long Bui, Hai Do, Duy Khuong Nguyen, Dung D. Le, Hung Tran-The, Nhat Ho, Stanley J. Osher, Richard G. Baraniuk |
| 2023 | ICLR | Retrieval-based Controllable Molecule Generation. | Zichao Wang, Weili Nie, Zhuoran Qiao, Chaowei Xiao, Richard G. Baraniuk, Anima Anandkumar |
| 2023 | ICLR | A Primal-Dual Framework for Transformers and Neural Networks. | Tan Minh Nguyen, Tam Minh Nguyen, Nhat Ho, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher |
| 2023 | WACV | Evaluating generative networks using Gaussian mixtures of image features. | Lorenzo Luzi, Carlos Ortiz Marrero, Nile Wynar, Richard G. Baraniuk, Michael J. Henry |
| 2022 | ACSSC | Spatial Transformer K-Means. | Romain Cosentino, Randall Balestriero, Yanis Bahroun, Anirvan M. Sengupta, Richard G. Baraniuk, Behnaam Aazhang |
| 2022 | AIED | Automated Scoring for Reading Comprehension via In-context BERT Tuning. | Nigel Fernandez, Aritra Ghosh, Naiming Liu, Zichao Wang, Benot Choffin, Richard G. Baraniuk, Andrew S. Lan |
| 2022 | AIED | Towards Human-Like Educational Question Generation with Large Language Models. | Zichao Wang, Jakob Valdez, Debshila Basu Mallick, Richard G. Baraniuk |
| 2022 | CVPR | Polarity Sampling: Quality and Diversity Control of Pre-Trained Generative Networks via Singular Values. | Ahmed Imtiaz Humayun, Randall Balestriero, Richard G. Baraniuk |
| 2022 | CVPR | Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent from the Decision Boundary Perspective. | Gowthami Somepalli, Liam Fowl, Arpit Bansal, Ping-Yeh Chiang, Yehuda Dar, Richard G. Baraniuk, Micah Goldblum, Tom Goldstein |
| 2022 | ECCV | MINER: Multiscale Implicit Neural Representation. | Vishwanath Saragadam, Jasper Tan, Guha Balakrishnan, Richard G. Baraniuk, Ashok Veeraraghavan |
| 2022 | EMNLP | Open-ended Knowledge Tracing for Computer Science Education. | Naiming Liu, Zichao Wang, Richard G. Baraniuk, Andrew S. Lan |
| 2022 | ICASSP | NFT-K: Non-Fungible Tangent Kernels. | Sina Alemohammad, Hossein Babaei, C. J. Barberan, Naiming Liu, Lorenzo Luzi, Blake Mason, Richard G. Baraniuk |
| 2022 | ICASSP | DeepHull: Fast Convex Hull Approximation in High Dimensions. | Randall Balestriero, Zichao Wang, Richard G. Baraniuk |
| 2022 | ICASSP | Unrolling Particles: Unsupervised Learning of Sampling Distributions. | Fernando Gama, Nicolas Zilberstein, Richard G. Baraniuk, Santiago Segarra |
| 2022 | ICASSP | No More Than 6ft Apart: Robust K-Means via Radius Upper Bounds. | Ahmed Imtiaz Humayun, Randall Balestriero, Anastasios Kyrillidis, Richard G. Baraniuk |
| 2022 | ICLR | MaGNET: Uniform Sampling from Deep Generative Network Manifolds Without Retraining. | Ahmed Imtiaz Humayun, Randall Balestriero, Richard G. Baraniuk |
| 2022 | ICML | Improving Transformers with Probabilistic Attention Keys. | Tam Minh Nguyen, Tan Minh Nguyen, Dung D. Le, Duy Khuong Nguyen, Viet-Anh Tran, Richard G. Baraniuk, Nhat Ho, Stanley J. Osher |
| 2021 | AAAI | Educational Question Mining At Scale: Prediction, Analysis and Personalization. | Zichao Wang, Sebastian Tschiatschek, Simon Woodhead, Jos Miguel Hernndez-Lobato, Simon Peyton Jones, Richard G. Baraniuk, Cheng Zhang |
| 2021 | AIED | Mathematical Formula Representation via Tree Embeddings. | Zichao Wang, Andrew S. Lan, Richard G. Baraniuk |
| 2021 | AIED | Towards Blooms Taxonomy Classification Without Labels. | Zichao Wang, Kyle Manning, Debshila Basu Mallick, Richard G. Baraniuk |
| 2021 | AIED | A Relationship Selection Task (short paper). | Andrew E. Waters, Vinay K. Chaudhri, Debshila Basu Mallick, Richard G. Baraniuk |
| 2021 | EDM | Math Operation Embeddings for Open-ended Solution Analysis and Feedback. | Mengxue Zhang, Zichao Wang, Richard G. Baraniuk, Andrew S. Lan |
| 2021 | EMNLP | Math Word Problem Generation with Mathematical Consistency and Problem Context Constraints. | Zichao Wang, Andrew S. Lan, Richard G. Baraniuk |
| 2021 | ICASSP | Wearing A Mask: Compressed Representations of Variable-Length Sequences Using Recurrent Neural Tangent Kernels. | Sina Alemohammad, Hossein Babaei, Randall Balestriero, Matt Y. Cheung, Ahmed Imtiaz Humayun, Daniel LeJeune, Naiming Liu, Lorenzo Luzi, Jasper Tan, Zichao Wang, Richard G. Baraniuk |
| 2021 | ICLR | The Recurrent Neural Tangent Kernel. | Sina Alemohammad, Zichao Wang, Randall Balestriero, Richard G. Baraniuk |
| 2020 | AIED | Inferring Student Comprehension from Highlighting Patterns in Digital Textbooks: An Exploration in an Authentic Learning Platform. | David Y. J. Kim, Adam Winchell, Andrew E. Waters, Phillip Grimaldi, Richard G. Baraniuk, Michael Mozer |
| 2020 | AISTATS | Thresholding Graph Bandits with GrAPL. | Daniel LeJeune, Gautam Dasarathy, Richard G. Baraniuk |
| 2020 | AISTATS | The Implicit Regularization of Ordinary Least Squares Ensembles. | Daniel LeJeune, Hamid Javadi, Richard G. Baraniuk |
| 2020 | COLING | Attention Word Embedding. | Shashank Sonkar, Andrew E. Waters, Richard G. Baraniuk |
| 2020 | EDM | VarFA: A Variational Factor Analysis Framework For Efficient Bayesian Learning Analytics. | Zichao Wang, Yi Gu, Andrew S. Lan, Richard G. Baraniuk |
| 2020 | EDM | qDKT: Question-centric Deep Knowledge Tracing. | Shashank Sonkar, Andrew S. Lan, Andrew E. Waters, Phillip Grimaldi, Richard G. Baraniuk |
| 2020 | ICLR | Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks. | Haoran You, Chaojian Li, Pengfei Xu, Yonggan Fu, Yue Wang, Xiaohan Chen, Richard G. Baraniuk, Zhangyang Wang, Yingyan Lin |
| 2020 | ICML | Sub-linear Memory Sketches for Near Neighbor Search on Streaming Data. | Benjamin Coleman, Richard G. Baraniuk, Anshumali Shrivastava |
| 2020 | ICML | Subspace Fitting Meets Regression: The Effects of Supervision and Orthonormality Constraints on Double Descent of Generalization Errors. | Yehuda Dar, Paul M. Mayer, Lorenzo Luzi, Richard G. Baraniuk |
| 2019 | AISTATS | Adaptive Estimation for Approximate | Daniel LeJeune, Reinhard Heckel, Richard G. Baraniuk |
| 2019 | EDM | A Meta-Learning Augmented Bidirectional Transformer Model for Automatic Short Answer Grading. | Zichao Wang, Andrew S. Lan, Andrew E. Waters, Phillip Grimaldi, Richard G. Baraniuk |
| 2019 | ICLR | From Hard to Soft: Understanding Deep Network Nonlinearities via Vector Quantization and Statistical Inference. | Randall Balestriero, Richard G. Baraniuk |
| 2019 | ICLR | Representing Formal Languages: A Comparison Between Finite Automata and Recurrent Neural Networks. | Joshua J. Michalenko, Ameesh Shah, Abhinav Verma, Richard G. Baraniuk, Swarat Chaudhuri, Ankit B. Patel |
| 2019 | ICLR | A Data-Driven and Distributed Approach to Sparse Signal Representation and Recovery. | Ali Mousavi, Gautam Dasarathy, Richard G. Baraniuk |
| 2019 | ICLR | A Max-Affine Spline Perspective of Recurrent Neural Networks. | Zichao Wang, Randall Balestriero, Richard G. Baraniuk |
| 2018 | ICASSP | Insense: Incoherent Sensor Selection for Sparse Signals. | Amirali Aghazadeh, Mohammad Golbabaee, Andrew S. Lan, Richard G. Baraniuk |
| 2018 | ICML | MISSION: Ultra Large-Scale Feature Selection using Count-Sketches. | Amirali Aghazadeh, Ryan Spring, Daniel LeJeune, Gautam Dasarathy, Anshumali Shrivastava, Richard G. Baraniuk |
| 2018 | ICML | A Spline Theory of Deep Networks. | Randall Balestriero, Richard G. Baraniuk |
| 2018 | ICML | Spline Filters For End-to-End Deep Learning. | Randall Balestriero, Romain Cosentino, Herv Glotin, Richard G. Baraniuk |
| 2018 | ICML | prDeep: Robust Phase Retrieval with a Flexible Deep Network. | Christopher A. Metzler, Philip Schniter, Ashok Veeraraghavan, Richard G. Baraniuk |
| 2017 | ACSSC | Sketched covariance testing: A compression-statistics tradeoff. | Gautam Dasarathy, Parikshit Shah, Richard G. Baraniuk |
| 2017 | EDM | Personalized Feedback for Open-Response Mathematical Questions using Long Short-Term Memory Networks. | Joshua J. Michalenko, Andrew S. Lan, Richard G. Baraniuk |
| 2017 | EDM | Data-Mining Textual Responses to Uncover Misconception Patterns. | Joshua J. Michalenko, Andrew S. Lan, Andrew E. Waters, Phillip Grimaldi, Richard G. Baraniuk |
| 2017 | EDM | A Latent Factor Model For Instructor Content Preference Analysis. | Jack Z. Wang, Andrew S. Lan, Phillip Grimaldi, Richard G. Baraniuk |
| 2017 | EDM | Short-Answer Responses to STEM Exercises: Measuring Response Validity and Its Impact on Learning. | Andrew E. Waters, Phillip Grimaldi, Andrew S. Lan, Richard G. Baraniuk |
| 2017 | ICASSP | Contextual multi-armed bandit algorithms for personalized learning action selection. | Indu Manickam, Andrew S. Lan, Richard G. Baraniuk |
| 2017 | ICASSP | Learning to invert: Signal recovery via Deep Convolutional Networks. | Ali Mousavi, Richard G. Baraniuk |
| 2017 | ICASSP | Flat focus: depth of field analysis for the FlatCam lensless imaging system. | Jasper Tan, Vivek Boominathan, Ashok Veeraraghavan, Richard G. Baraniuk |
| 2017 | ICCP | Coherent inverse scattering via transmission matrices: Efficient phase retrieval algorithms and a public dataset. | Christopher A. Metzler, Manoj Kumar Sharma, Sudarshan Nagesh, Richard G. Baraniuk, Oliver Cossairt, Ashok Veeraraghavan |
| 2017 | IJCAI | RHash: Robust Hashing via L_infinity-norm Distortion. | Amirali Aghazadeh, Andrew S. Lan, Anshumali Shrivastava, Richard G. Baraniuk |
| 2017 | ISIT | Sketched covariance testing: A compression-statistics tradeoff. | Gautam Dasarathy, Parikshit Shah, Richard G. Baraniuk |
| 2016 | EDM | A Contextual Bandits Framework for Personalized Learning Action Selection. | Andrew S. Lan, Richard G. Baraniuk |
| 2016 | ICIP | BM3D-PRGAMP: Compressive phase retrieval based on BM3D denoising. | Christopher A. Metzler, Arian Maleki, Richard G. Baraniuk |
| 2016 | ICML | Dealbreaker: A Nonlinear Latent Variable Model for Educational Data. | Andrew S. Lan, Tom Goldstein, Richard G. Baraniuk, Christoph Studer |
| 2016 | SDM | Deterministic Column Sampling for Low-Rank Matrix Approximation: Nystrm vs. Incomplete Cholesky Decomposition. | Raajen Patel, Tom Goldstein, Eva L. Dyer, Azalia Mirhoseini, Richard G. Baraniuk |
| 2015 | ACSSC | Iterative reconstruction from limited angle, limited view projections for cryo-electron tomography. | Sally L. Wood, Ernesto Fontenla, Christopher A. Metzler, Wah Chiu, Richard G. Baraniuk |
| 2015 | ICIP | BM3D-AMP: A new image recovery algorithm based on BM3D denoising. | Christopher A. Metzler, Arian Maleki, Richard G. Baraniuk |
| 2014 | AISTATS | Path Thresholding: Asymptotically Tuning-Free High-Dimensional Sparse Regression. | Divyanshu Vats, Richard G. Baraniuk |
| 2014 | AISTATS | Active Learning for Undirected Graphical Model Selection. | Divyanshu Vats, Robert D. Nowak, Richard G. Baraniuk |
| 2014 | EDM | Quantized Matrix Completion for Personalized Learning. | Andrew S. Lan, Christoph Studer, Richard G. Baraniuk |
| 2014 | ICASSP | LIE operators for compressive sensing. | Chinmay Hegde, Aswin C. Sankaranarayanan, Richard G. Baraniuk |
| 2014 | ICASSP | Matrix recovery from quantized and corrupted measurements. | Andrew S. Lan, Christoph Studer, Richard G. Baraniuk |
| 2014 | KDD | Time-varying learning and content analytics via sparse factor analysis. | Andrew S. Lan, Christoph Studer, Richard G. Baraniuk |
| 2013 | EDM | Tag-Aware Ordinal Sparse Factor Analysis for Learning and Content Analytics. | Andrew S. Lan, Christoph Studer, Andrew E. Waters, Richard G. Baraniuk |
| 2013 | EDM | Joint Topic Modeling and Factor Analysis of Textual Information and Graded Response Data. | Andrew S. Lan, Christoph Studer, Andrew E. Waters, Richard G. Baraniuk |
| 2013 | EDM | Test-size Reduction for Concept Estimation. | Divyanshu Vats, Christoph Studer, Andrew S. Lan, Lawrence Carin, Richard G. Baraniuk |
| 2013 | ICASSP | Adaptive step size selection for optimization via the ski rental problem. | Amirali Aghazadeh, Ali Ayremlou, Daniel D. Calderon, Tom Goldstein, Raajen Patel, Divyanshu Vats, Richard G. Baraniuk |
| 2013 | ICASSP | Subspace clustering with dense representations. | Eva L. Dyer, Christoph Studer, Richard G. Baraniuk |
| 2013 | ICASSP | Open online platforms advancing DSP education. | John P. Slavinsky, Kim J. Davenport, Andrew C. Butler, Elizabeth J. Marsh, Richard G. Baraniuk |
| 2012 | ICASSP | A compressive phase-locked loop. | Stephen R. Schnelle, John P. Slavinsky, Petros Boufounos, Mark A. Davenport, Richard G. Baraniuk |
| 2012 | ICASSP | Dictionary learning from sparsely corrupted or compressed signals. | Christoph Studer, Richard G. Baraniuk |
| 2012 | ICASSP | A bit-constrained sar adc for compressive acquisition of frequency sparse signals. | Andrew E. Waters, Charles K. Sestok, Richard G. Baraniuk |
| 2012 | ICCP | CS-MUVI: Video compressive sensing for spatial-multiplexing cameras. | Aswin C. Sankaranarayanan, Christoph Studer, Richard G. Baraniuk |
| 2012 | ISIT | SPIN: Iterative signal recovery on incoherent manifolds. | Chinmay Hegde, Richard G. Baraniuk |
| 2012 | ISIT | Minimum complexity pursuit: Stability analysis. | Shirin Jalali, Arian Maleki, Richard G. Baraniuk |
| 2011 | ACSSC | The polyphase random demodulator for wideband compressive sensing. | Jason N. Laska, John P. Slavinsky, Richard G. Baraniuk |
| 2011 | CISS | Robust support recovery using sparse compressive sensing matrices. | Jarvis D. Haupt, Richard G. Baraniuk |
| 2011 | ICASSP | The compressive multiplexer for multi-channel compressive sensing. | John P. Slavinsky, Jason N. Laska, Mark A. Davenport, Richard G. Baraniuk |
| 2011 | ISIT | Least favorable compressed sensing problems for first-order methods. | Arian Maleki, Richard G. Baraniuk |
| 2010 | ECCV | Compressive Acquisition of Dynamic Scenes. | Aswin C. Sankaranarayanan, Pavan K. Turaga, Richard G. Baraniuk, Rama Chellappa |
| 2010 | ICASSP | Kronecker product matrices for compressive sensing. | Marco F. Duarte, Richard G. Baraniuk |
| 2010 | ICASSP | Compressive sensing of a superposition of pulses. | Chinmay Hegde, Richard G. Baraniuk |
| 2010 | ICASSP | Texas Hold 'Em algorithms for distributed compressive sensing. | Stephen R. Schnelle, Jason N. Laska, Chinmay Hegde, Marco F. Duarte, Mark A. Davenport, Richard G. Baraniuk |
| 2009 | CISS | Recovery of compressible signals in unions of subspaces. | Marco F. Duarte, Chinmay Hegde, Volkan Cevher, Richard G. Baraniuk |
| 2008 | CISS | Compressive sensing. | Richard G. Baraniuk |
| 2008 | CISS | 1-Bit compressive sensing. | Petros Boufounos, Richard G. Baraniuk |
| 2008 | ECCV | Compressive Sensing for Background Subtraction. | Volkan Cevher, Aswin C. Sankaranarayanan, Marco F. Duarte, Dikpal Reddy, Richard G. Baraniuk, Rama Chellappa |
| 2008 | ICASSP | Reconstructing sparse signals from their zero crossings. | Petros Boufounos, Richard G. Baraniuk |
| 2008 | ICASSP | Wavelet-domain compressive signal reconstruction using a Hidden Markov Tree model. | Marco F. Duarte, Michael B. Wakin, Richard G. Baraniuk |
| 2008 | ISCAS | On the feasibility of hardware implementation of sub-Nyquist random-sampling based analog-to-information conversion. | Stephen Pfetsch, Tamer Ragheb, Jason N. Laska, Hamid Nejati, Anna C. Gilbert, Martin Strauss, Richard G. Baraniuk, Yehia Massoud |
| 2007 | DCC | Quantization of Sparse Representations. | Petros Boufounos, Richard G. Baraniuk |
| 2007 | ICIP | Multiscale Random Projections for Compressive Classification. | Marco F. Duarte, Mark A. Davenport, Michael B. Wakin, Jason N. Laska, Dharmpal Takhar, Kevin F. Kelly, Richard G. Baraniuk |
| 2007 | ICIP | Locally Competitive Algorithms for Sparse Approximation. | Christopher J. Rozell, Don H. Johnson, Richard G. Baraniuk, Bruno A. Olshausen |
| 2007 | ICIP | Blind Error-Free Detection of Transform-Domainwatermarks. | Mona A. Sheikh, Richard G. Baraniuk |
| 2007 | ISCAS | Theory and Implementation of an Analog-to-Information Converter using Random Demodulation. | Jason N. Laska, Sami Kirolos, Marco F. Duarte, Tamer Ragheb, Richard G. Baraniuk, Yehia Massoud |
| 2006 | CISS | Coding vs. Packet Retransmission over Noisy Channels. | Dror Baron, Shriram Sarvotham, Richard G. Baraniuk |
| 2006 | ICASSP | Controlling False Alarms With Support Vector Machines. | Mark A. Davenport, Richard G. Baraniuk, Clayton D. Scott |
| 2006 | ICASSP | Sparse Signal Detection from Incoherent Projections. | Marco F. Duarte, Mark A. Davenport, Michael B. Wakin, Richard G. Baraniuk |
| 2006 | ICASSP | Random Filters for Compressive Sampling and Reconstruction. | Joel A. Tropp, Michael B. Wakin, Marco F. Duarte, Dror Baron, Richard G. Baraniuk |
| 2006 | ICASSP | Random Projections of Signal Manifolds. | Michael B. Wakin, Richard G. Baraniuk |
| 2006 | ICIP | Multiscale Image Disparity Estimation using the Quaternion Wavelet Transform. | Wai Lam Chan, Hyeokho Choi, Richard G. Baraniuk |
| 2006 | ICIP | An Architecture for Compressive Imaging. | Michael B. Wakin, Jason N. Laska, Marco F. Duarte, Dror Baron, Shriram Sarvotham, Dharmpal Takhar, Kevin F. Kelly, Richard G. Baraniuk |
| 2006 | ISIT | Sudocodes ߝ Fast Measurement and Reconstruction of Sparse Signals. | Shriram Sarvotham, Dror Baron, Richard G. Baraniuk |
| 2005 | DCOSS | Design of Adaptive Overlays for Multi-scale Communication in Sensor Networks. | Santashil PalChaudhuri, Rajnish Kumar, Richard G. Baraniuk, David B. Johnson |
| 2005 | ICASSP | Multiscale manifold representation and modeling. | Hyeokho Choi, Richard G. Baraniuk |
| 2005 | ICASSP | A multiscale data representation for distributed sensor networks. | Raymond S. Wagner, Shriram Sarvotham, Richard G. Baraniuk |
| 2005 | ICASSP | High-resolution navigation on non-differentiable image manifolds. | Michael B. Wakin, David L. Donoho, Hyeokho Choi, Richard G. Baraniuk |
| 2005 | INFOCOM | TCP-Africa: an adaptive and fair rapid increase rule for scalable TCP. | R. King, Richard G. Baraniuk, Rudolf H. Riedi |
| 2004 | GLOBECOM | Delay-limited throughput maximization for fading channels using rate and power control. | Nadeem Ahmed, Mohammad Ali Khojestapour, Richard G. Baraniuk |
| 2004 | ICASSP | Directional hypercomplex wavelets for multidimensional signal analysis and processing. | Wai Lam Chan, Hyeokho Choi, Richard G. Baraniuk |
| 2004 | ICASSP | Non-redundant, linear-phase, semi-orthogonal, directional complex wavelets [image/video processing applications]. | Felix C. A. Fernandes, Michael B. Wakin, Richard G. Baraniuk |
| 2004 | ICASSP | Contraction, smoothness, and low-pass filtering. | Mohammad Ali Khojastepour, Behnaam Aazhang, Richard G. Baraniuk |
| 2004 | ICIP | Quaternion wavelets for image analysis and processing. | Wai Lam Chan, Hyeokho Choi, Richard G. Baraniuk |
| 2004 | ISIT | Surflets: a sparse representation for multidimensional functions containing smooth discontinuities. | Venkat Chandrasekaran, Michael B. Wakin, Dror Baron, Richard G. Baraniuk |
| 2004 | SIGMETRICS | Spatio-temporal available bandwidth estimation with STAB. | Vinay J. Ribeiro, Rudolf H. Riedi, Richard G. Baraniuk |
| 2003 | DCC | Estimation-Quantization Geometry Coding Using Normal Meshes. | Sridhar Lavu, Hyeokho Choi, Richard G. Baraniuk |
| 2003 | ICASSP | Open-content signal processing laboratories in connexions. | Swaroop Appadwedula, Richard G. Baraniuk, Matthew Berry, Mark D. Butala, Hyeokho Choi, Mark A. Haun, Douglas L. Jones, Michael L. Kramer, Dima Moussa, Lee C. Potter, Daniel Grobe Sachs, Brian Wade, Raymond S. Wagner |
| 2003 | ICASSP | Orthogonal Hilbert transform filter banks and wavelets. | Rutger L. van Spaendonck, Thierry Blu, Richard G. Baraniuk, Martin Vetterli |
| 2003 | ICIP | JPEG compression history estimation for color images. | Ramesh Neelamani, Ricardo L. de Queiroz, Zhigang Fan, Richard G. Baraniuk |
| 2003 | ICIP | Approximation and compression of piecewise smooth images using a wavelet/wedgelet geometric model. | Justin K. Romberg, Michael B. Wakin, Richard G. Baraniuk |
| 2003 | ICIP | Distributed image compression for sensor networks using correspondence analysis and super-resolution. | Raymond S. Wagner, Robert D. Nowak, Richard G. Baraniuk |
| 2003 | VCIP | Multiscale geometric image processing. | Justin K. Romberg, Michael B. Wakin, Richard G. Baraniuk |
| 2003 | SGP | Geometry Compression of Normal Meshes Using Rate-Distortion Algorithms. | Sridhar Lavu, Hyeokho Choi, Richard G. Baraniuk |
| 2002 | DCC | Image Compression using an Efficient Edge Cartoon + Texture Model. | Michael B. Wakin, Justin K. Romberg, Hyeokho Choi, Richard G. Baraniuk |
| 2002 | GLOBECOM | Asymptotic performance of transmit diversity via OFDM for multipath channels. | Nadeem Ahmed, Richard G. Baraniuk |
| 2002 | ICASSP | Connexions: DSP education for a networked world. | Richard G. Baraniuk, C. Sidney Burrus, B. M. Hendricks, G. L. Henry, Alfred O. Hero III, Don H. Johnson, Douglas L. Jones, Julius Kusuma, Robert D. Nowak, J. E. Odegard, Lee C. Potter, Kannan Ramchandran, R. J. Reedstrom, Philip Schniter, Ivan W. Selesnick, Douglas B. Williams, W. L. Wilson |
| 2002 | ICASSP | Additive and multiplicative mixture trees for network traffic modeling. | Shriram Sarvotham, Xin Wang, Rudolf H. Riedi, Richard G. Baraniuk |
| 2002 | ICIP | Multiscale wedgelet image analysis: fast decompositions and modeling. | Justin K. Romberg, Michael B. Wakin, Richard G. Baraniuk |
| 2002 | ICIP | Rate-distortion optimized image compression using wedgelets. | Justin K. Romberg, Michael B. Wakin, Hyeokho Choi, Richard G. Baraniuk |
| 2001 | GLOBECOM | Optimal transmit spectra for communication in the presence of crosstalk and imperfect echo cancellation. | Nadeem Ahmed, Richard G. Baraniuk, Donald P. Shaver |
| 2001 | ICASSP | Wavelets and multifractals for network traffic modeling and inference. | Vinay J. Ribeiro, Rudolf H. Riedi, Richard G. Baraniuk |
| 2001 | ICIP | Multiscale image processing using normal triangulated meshes. | M. Jansen, Hyeokho Choi, Sridhar Lavu, Richard G. Baraniuk |
| 2001 | ICIP | Compression color space estimation of JPEG images using lattice basis reduction. | Ramesh Neelamani, Ricardo L. de Queiroz, Richard G. Baraniuk |
| 2001 | ICIP | Multiscale edge grammars for complex wavelet transforms. | Justin K. Romberg, Hyeokho Choi, Richard G. Baraniuk |
| 2000 | ICASSP | Hybrid linear/quadratic time-frequency attributes. | Richard G. Baraniuk, Mark Coates, Philippe Steeghs |
| 2000 | ICASSP | Hidden Markov tree modeling of complex wavelet transforms. | Hyeokho Choi, Justin K. Romberg, Richard G. Baraniuk, Nick G. Kingsbury |
| 2000 | ICASSP | Wavelet folding and decorrelation across the scale. | Jun Feng Tian, Richard G. Baraniuk, Raymond O. Wells Jr., Damian M. Tan, Hong Ren Wu |
| 2000 | ICIP | Imaging with THZ Pulses. | Timothy Dorney, Jon Johnson, Daniel M. Mittleman, Richard G. Baraniuk |
| 2000 | ICIP | Model-Based Inverse Halftoning with Wavelet-Vaguelette Deconvolution. | Ramesh Neelamani, Robert D. Nowak, Richard G. Baraniuk |
| 2000 | ICIP | Multiscale Classification Using Complex Wavelets and Hidden Markov Tree Models. | Justin K. Romberg, Hyeokho Choi, Richard G. Baraniuk, Nick G. Kingsbury |
| 2000 | INFOCOM | Multiscale Queuing Analysis of Long-Range-Dependent Network Traffic. | Vinay J. Ribeiro, Rudolf H. Riedi, Matthew S. Crouse, Richard G. Baraniuk |
| 1999 | ICASSP | Interpolation and denoising of nonuniformly sampled data using wavelet-domain processing. | Hyeokho Choi, Richard G. Baraniuk |
| 1999 | ICASSP | Wavelet-based deconvolution for ill-conditioned systems. | Ramesh Neelamani, Hyeokho Choi, Richard G. Baraniuk |
| 1999 | ICIP | Multiple Basis Wavelet Denoising Using BESOV Projections. | Hyeokho Choi, Richard G. Baraniuk |
| 1999 | ICIP | Wavelet-Domain Regularized Deconvolution for ILL-Conditioned Systems. | Ramesh Neelamani, Hyeokho Choi, Richard G. Baraniuk |
| 1999 | ICIP | Bayesian Wavelet-Domain Image Modeling Using Hidden Markov Trees. | Justin K. Romberg, Hyeokho Choi, Richard G. Baraniuk |
| 1999 | SIGMETRICS | Simulation of nonGaussian Long-Range-Dependent Traffic Using Wavelets. | Vinay J. Ribeiro, Rudolf H. Riedi, Matthew S. Crouse, Richard G. Baraniuk |
| 1998 | DCC | Adaptive Wavelet Transforms for Image Coding Using Lifting. | Roger Claypool, Geoffrey M. Davis, Wim Sweldens, Richard G. Baraniuk |
| 1998 | ICASSP | Adaptive wavelet transforms via lifting. | Roger L. Claypoole Jr., Richard G. Baraniuk, Robert D. Nowak |
| 1998 | ICASSP | Simplified wavelet-domain hidden Markov models using contexts. | Matthew S. Crouse, Richard G. Baraniuk |
| 1997 | ICASSP | Signal estimation using wavelet-Markov models. | Matthew S. Crouse, Richard G. Baraniuk, Robert D. Nowak |
| 1997 | ICASSP | Improved type-based detection of analog signals. | Don H. Johnson, Paulo Gonalves, Richard G. Baraniuk |
| 1997 | ICASSP | Wavelet-based transformations for nonlinear signal processing. | Robert D. Nowak, Richard G. Baraniuk |
| 1996 | ICASSP | Pseudo affine Wigner distributions. | Paulo Gonalves, Richard G. Baraniuk |
| 1996 | ICASSP | Optimal phase kernels for time-frequency analysis. | L. Fridtjof Wisur-Olsen, Richard G. Baraniuk |
| 1995 | ICASSP | Marginals vs. covariance in joint distribution theory. | Richard G. Baraniuk |
| 1994 | ICASSP | Beyond time-frequency analysis: energy densities in one and many dimensions. | Richard G. Baraniuk |
| 1994 | ICASSP | Time-frequency complexity and information. | Patrick Flandrin, Richard G. Baraniuk, Olivier J. J. Michel |
| 1994 | ICIP | Wavelet Soft-Thresholding of Time-Frequency Representations. | Richard G. Baraniuk |
| 1993 | ICASSP | Warped wavelet bases: unitary equivalence and signal processing. | Richard G. Baraniuk, Douglas L. Jones |
| 1993 | ICASSP | An adaptive optimal-kernel time-frequency representation. | Douglas L. Jones, Richard G. Baraniuk |
| 1992 | ICASSP | New dimensions in wavelet analysis. | Richard G. Baraniuk, Douglas L. Jones |
| 1991 | ICASSP | A radially-Gaussian, signal-dependent time-frequency representation. | Richard G. Baraniuk, Douglas L. Jones |