Baraniuk, Richard G.

21 publications

NeurIPS 2024 Learning Transferable Features for Implicit Neural Representations Kushal Vyas, Ahmed Imtiaz Humayun, Aniket Dashpute, Richard G. Baraniuk, Ashok Veeraraghavan, Guha Balakrishnan

AISTATS 2023 A Blessing of Dimensionality in Membership Inference Through Regularization Jasper Tan, Daniel LeJeune, Blake Mason, Hamid Javadi, Richard G. Baraniuk

WACV 2023 Evaluating Generative Networks Using Gaussian Mixtures of Image Features Lorenzo Luzi, Carlos Ortiz Marrero, Nile Wynar, Richard G. Baraniuk, Michael J. Henry

CVPR 2023 SplineCam: Exact Visualization and Characterization of Deep Network Geometry and Decision Boundaries Ahmed Imtiaz Humayun, Randall Balestriero, Guha Balakrishnan, Richard G. Baraniuk

CVPR 2023 WIRE: Wavelet Implicit Neural Representations Vishwanath Saragadam, Daniel LeJeune, Jasper Tan, Guha Balakrishnan, Ashok Veeraraghavan, Richard G. Baraniuk

ECCV 2022 MINER: Multiscale Implicit Neural Representation Vishwanath Saragadam, Jasper Tan, Guha Balakrishnan, Richard G. Baraniuk, Ashok Veeraraghavan

AAAI 2021 Educational Question Mining at Scale: Prediction, Analysis and Personalization Zichao Wang, Sebastian Tschiatschek, Simon Woodhead, José Miguel Hernández-Lobato, Simon Peyton Jones, Richard G. Baraniuk, Cheng Zhang

ICCVW 2021 Thermal Image Processing via Physics-Inspired Deep Networks Vishwanath Saragadam, Akshat Dave, Ashok Veeraraghavan, Richard G. Baraniuk

ICLR 2020 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

ICLR 2019 A Data-Driven and Distributed Approach to Sparse Signal Representation and Recovery Ali Mousavi, Gautam Dasarathy, Richard G. Baraniuk

NeurIPSW 2019 Brain-Inspired Robust Vision Using Convolutional Neural Networks with Feedback Yujia Huang, Sihui Dai, Tan Nguyen, Pinglei Bao, Doris Y. Tsao, Richard G. Baraniuk, Anima Anandkumar

ICLR 2019 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

IJCAI 2017 RHash: Robust Hashing via L_infinity-Norm Distortion Amirali Aghazadeh, Andrew S. Lan, Anshumali Shrivastava, Richard G. Baraniuk

ICCVW 2015 FlatCam: Replacing Lenses with Masks and Computation M. Salman Asif, Ali Ayremlou, Ashok Veeraraghavan, Richard G. Baraniuk, Aswin C. Sankaranarayanan

AISTATS 2014 Active Learning for Undirected Graphical Model Selection Divyanshu Vats, Robert D. Nowak, Richard G. Baraniuk

AISTATS 2014 Path Thresholding: Asymptotically Tuning-Free High-Dimensional Sparse Regression Divyanshu Vats, Richard G. Baraniuk

JMLR 2014 Sparse Factor Analysis for Learning and Content Analytics Andrew S. Lan, Andrew E. Waters, Christoph Studer, Richard G. Baraniuk

JMLR 2013 Greedy Feature Selection for Subspace Clustering Eva L. Dyer, Aswin C. Sankaranarayanan, Richard G. Baraniuk

ECCV 2010 Compressive Acquisition of Dynamic Scenes Aswin C. Sankaranarayanan, Pavan K. Turaga, Richard G. Baraniuk, Rama Chellappa

ECCV 2008 Compressive Sensing for Background Subtraction Volkan Cevher, Aswin C. Sankaranarayanan, Marco F. Duarte, Dikpal Reddy, Richard G. Baraniuk, Rama Chellappa

NeurIPS 2005 Recovery of Jointly Sparse Signals from Few Random Projections Michael B. Wakin, Marco F. Duarte, Shriram Sarvotham, Dror Baron, Richard G. Baraniuk