Richard G. Baraniuk
- Self-Consuming Generative Models Go MAD
2023/07/04 by Sina Alemohammad, Alemohammad, Sina, Josue Casco-Rodriguez +13 · 20 voices · 45 citations
Computer Science · #Generative Adversarial Networks and Image Synthesis
- A Farewell to the Bias-Variance Tradeoff? An Overview of the Theory of Overparameterized Machine Learning
2021/09/06 by Yehuda Dar, V. Sai Muthukumar, Vidya Muthukumar +4 · 2 voices · 3 citations
Computer Science · Engineering · #Neural Networks and Applications #Face and Expression Recognition #Sparse and Compressive Sensing Techniques
- A Probabilistic Theory of Deep Learning
2015/04/02 by Ankit Patel, Ankit B. Patel, Tan Nguyen +4 · 1 voice · 10 citations
Computer Science · #Generative Adversarial Networks and Image Synthesis #Neural Networks and Applications #Advanced Image and Video Retrieval Techniques
- Single-pixel imaging via compressive sampling
2008/03/01 by Marco F. Duarte, Mark A. Davenport, Dharmpal Takhar +4 · 56 citations
Engineering · Physics and Astronomy · Biochemistry, Genetics and Molecular Biology · #Sparse and Compressive Sensing Techniques #Random lasers and scattering media #Advanced Fluorescence Microscopy Techniques
- Deep Learning Techniques for Inverse Problems in Imaging
2020/05/12 by Greg Ongie, Ongie, Gregory, Ajil Jalal +9 · 33 citations
Medicine · Engineering · #Medical Imaging Techniques and Applications #Sparse and Compressive Sensing Techniques #Advanced X-ray and CT Imaging
- A single-pixel terahertz imaging system based on compressed sensing
2008/09/22 by Wai Lam Chan, Kriti Charan, Dharmpal Takhar +3 · 35 citations
Engineering · Physics and Astronomy · #Terahertz technology and applications #Random lasers and scattering media #Photonic and Optical Devices
- Compressive Sensing [Lecture Notes]
2007/07/01 by Richard G. Baraniuk, Richard Baraniuk · 22 citations
Engineering · Mathematics · #Sparse and Compressive Sensing Techniques #Microwave Imaging and Scattering Analysis #Mathematical Analysis and Transform Methods
- The dual-tree complex wavelet transform
2005/11/01 by Ivan Selesnick, I.W. Selesnick, R.G. Baraniuk +3 · 14 citations
Computer Science · Engineering · #Image and Signal Denoising Methods #Advanced Image Fusion Techniques #Digital Filter Design and Implementation
- Learned D-AMP: Principled Neural Network based Compressive Image\n Recovery
2017/04/21 by Christopher A. Metzler, Metzler, Christopher A., Alireza Mousavi +3 · 11 citations
Computer Science · Engineering · #Advanced Image Processing Techniques #Blind Source Separation Techniques #FOS: Computer and information sciences #Image and Signal Denoising Methods #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Sparse and Compressive Sensing Techniques
- Adaptive Primal-Dual Hybrid Gradient Methods for Saddle-Point Problems
2013/05/02 by Tom Goldstein, Min Li, Goldstein, Tom +7 · 11 citations
Mathematics · Engineering · #Advanced Optimization Algorithms Research #Sparse and Compressive Sensing Techniques #Iterative Methods for Nonlinear Equations
- Instructions and Guide for Diagnostic Questions: The NeurIPS 2020 Education Challenge
2020/07/23 by Zichao Wang, Wang, Zichao, Angus Lamb +21 · 7 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Computers and Society (cs.CY) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Intelligent Tutoring Systems and Adaptive Learning #Machine Learning (cs.LG) #Machine Learning and Algorithms
- Math Word Problem Generation with Mathematical Consistency and Problem Context Constraints
2021/09/09 by Zichao Wang, Andrew Lan, Wang, Zichao +3 · 6 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Mathematics, Computing, and Information Processing #Natural Language Processing Techniques #Topic Modeling
- Drawing Early-Bird Tickets: Towards More Efficient Training of Deep Networks
2019/09/26 by Haoran You, Chaojian Li, You, Haoran +15 · 6 citations
Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Stochastic Gradient Optimization Techniques
- Self-Improving Diffusion Models with Synthetic Data
2024/08/29 by Sina Alemohammad, Alemohammad, Sina, Ahmed Imtiaz Humayun +7 · 12 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications #Statistical and Computational Modeling
- Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent
2020/02/24 by Bao Wang, Wang, Bao, Tan M. Nguyen +7 · 4 citations
Computer Science · #Stochastic Gradient Optimization Techniques #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning
- prDeep: Robust Phase Retrieval with a Flexible Deep Network
2018/03/01 by Christopher A. Metzler, Metzler, Christopher A., Philip Schniter +5 · 4 citations
Computer Science · Earth and Planetary Sciences · Physics and Astronomy · #Advanced X-ray Imaging Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optical measurement and interference techniques #Seismic Imaging and Inversion Techniques
- Asymptotic Analysis of Complex LASSO via Complex Approximate Message Passing (CAMP)
2011/08/01 by Arian Maleki, Maleki, Arian, Laura Anitori +5 · 2 citations
Engineering · Medicine · #Advanced MRI Techniques and Applications #Electrical and Bioimpedance Tomography #FOS: Computer and information sciences #Information Theory (cs.IT) #Sparse and Compressive Sensing Techniques
- The Implicit Regularization of Ordinary Least Squares Ensembles
2019/10/10 by Daniel LeJeune, Hamid Javadi, LeJeune, Daniel +3 · 3 citations
Computer Science · Engineering · #Face and Expression Recognition #Neural Networks and Applications #Sparse and Compressive Sensing Techniques
- Mathematical Language Processing: Automatic Grading and Feedback for Open Response Mathematical Questions
2015/01/18 by Andrew Lan, Divyanshu Vats, Lan, Andrew S. +5 · 2 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Intelligent Tutoring Systems and Adaptive Learning #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Online Learning and Analytics #Software Engineering Research
- MISSION: Ultra Large-Scale Feature Selection using Count-Sketches
2018/06/12 by Amirali Aghazadeh, Aghazadeh, Amirali, Ryan Spring +9 · 2 citations
Computer Science · #Anomaly Detection Techniques and Applications #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
- Evaluating generative networks using Gaussian mixtures of image features
2021/10/08 by Lorenzo Luzi, Luzi, Lorenzo, Carlos Ortiz Marrero +7 · 2 citations
Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG)
- Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent from the Decision Boundary Perspective
2022/03/15 by Gowthami Somepalli, Somepalli, Gowthami, Liam Fowl +13 · 2 citations
Computer Science · #Adversarial Robustness in Machine Learning #Stochastic Gradient Optimization Techniques #Neural Networks and Applications
- Minimum Complexity Pursuit for Universal Compressed Sensing
2012/08/29 by Shirin Jalali, Jalali, Shirin, Arian Maleki +3 · 1 citation
Computer Science · Engineering · #Blind Source Separation Techniques #Distributed Sensor Networks and Detection Algorithms #FOS: Computer and information sciences #Information Theory (cs.IT) #Sparse and Compressive Sensing Techniques
- Implicit Neural Representations and the Algebra of Complex Wavelets
2023/10/01 by T. Mitchell Roddenberry, Vishwanath Saragadam, Roddenberry, T. Mitchell +5 · 3 citations
Computer Science · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Signal Denoising Methods #Image and Video Processing (eess.IV) #Neural Networks and Applications #Signal Processing (eess.SP) #Ultrasonics and Acoustic Wave Propagation #electronic engineering #information engineering
- Video Compressive Sensing for Spatial Multiplexing Cameras using\n Motion-Flow Models
2015/03/09 by Aswin C. Sankaranarayanan, Sankaranarayanan, Aswin C., Lina Xu +9 · 1 citation
Engineering · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Optical Coherence Tomography Applications #Photoacoustic and Ultrasonic Imaging #Sparse and Compressive Sensing Techniques
- Consistent Parameter Estimation for LASSO and Approximate Message Passing
2015/11/03 by Alireza Mousavi, Arian Maleki, Mousavi, Ali +3 · 1 citation
Engineering · Computer Science · Mathematics · #Sparse and Compressive Sensing Techniques #Distributed Sensor Networks and Detection Algorithms #Statistical Methods and Inference
- Learning Transferable Features for Implicit Neural Representations
2024/09/15 by Ahmed Imtiaz Humayun, Vyas, Kushal, Aniket Dashpute +8 · 4 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Human Pose and Action Recognition #Image Processing and 3D Reconstruction #Neural Networks and Applications
- FlatCam: Thin, Bare-Sensor Cameras using Coded Aperture and Computation
2015/09/01 by M. Salman Asif, Ali Ayremlou, Asif, M. Salman +9 · 2 voices
Computer Science · Engineering · Physics and Astronomy · #Advanced Optical Sensing Technologies #Image Processing Techniques and Applications #Optical measurement and interference techniques #cs.CV
- Data-Mining Textual Responses to Uncover Misconception Patterns
2017/03/24 by Joshua Michalenko, Michalenko, Joshua J., Andrew Lan +3 · 1 citation
Computer Science · #Advanced Text Analysis Techniques #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (stat.ML) #Software Engineering Research #Topic Modeling
- Representing Formal Languages: A Comparison Between Finite Automata and\n Recurrent Neural Networks
2019/02/26 by Joshua Michalenko, Ameesh Shah, Michalenko, Joshua J. +9 · 1 citation
Computer Science · #FOS: Computer and information sciences #Formal Languages and Automata Theory (cs.FL) #Machine Learning (cs.LG) #Machine Learning and Algorithms #Natural Language Processing Techniques #Neural Networks and Applications
- The Geometry of Deep Networks: Power Diagram Subdivision
2019/05/21 by Randall Balestriero, Romain Cosentino, Balestriero, Randall +5 · 1 citation
Computer Science · Engineering · #3D Shape Modeling and Analysis #Advanced Numerical Analysis Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Topological and Geometric Data Analysis
- Student Data Paradox and Curious Case of Single Student-Tutor Model: Regressive Side Effects of Training LLMs for Personalized Learning
2024/04/23 by Shashank Sonkar, Sonkar, Shashank, Naiming Liu +3 · 2 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Intelligent Tutoring Systems and Adaptive Learning #Topic Modeling
- Thresholding Graph Bandits with GrAPL
2019/05/22 by Daniel LeJeune, Gautam Dasarathy, LeJeune, Daniel +3 · 1 citation
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Optimization and Search Problems
- MINER: Multiscale Implicit Neural Representations
2022/02/07 by Vishwanath Saragadam, Jasper Tan, Saragadam, Vishwanath +7 · 2 citations
Computer Science · Earth and Planetary Sciences · Physics and Astronomy · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Medical Image Segmentation Techniques #Model Reduction and Neural Networks #Seismic Imaging and Inversion Techniques
- Double Double Descent: On Generalization Errors in Transfer Learning between Linear Regression Tasks
2020/06/12 by Yehuda Dar, Richard G. Baraniuk, Dar, Yehuda +1 · 1 citation
Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM
- The Common Intuition to Transfer Learning Can Win or Lose: Case Studies for Linear Regression
2021/03/09 by Yehuda Dar, Dar, Yehuda, Daniel LeJeune +3 · 1 citation
Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning and ELM
- Insense: Incoherent Sensor Selection for Sparse Signals
2017/02/16 by Amirali Aghazadeh, Mohammad Golbabaee, Aghazadeh, Amirali +5 · 1 citation
Biochemistry, Genetics and Molecular Biology · Computer Science · Engineering · #Distributed Sensor Networks and Detection Algorithms #FOS: Computer and information sciences #Gene expression and cancer classification #Other Computer Science (cs.OH) #Sparse and Compressive Sensing Techniques
- Turbulence forecasting via Neural ODE
2019/11/12 by Gavin Portwood, Portwood, Gavin D., Peetak Mitra +21 · 2 citations
Earth and Planetary Sciences · Engineering · Physics and Astronomy · #Computational Physics (physics.comp-ph) #FOS: Physical sciences #Fluid Dynamics and Turbulent Flows #Meteorological Phenomena and Simulations #Model Reduction and Neural Networks
- Automated Scoring for Reading Comprehension via In-context BERT Tuning
2022/05/19 by Nigel Fernandez, Fernandez, Nigel, Aritra Ghosh +11 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling
- Retrieval-based Controllable Molecule Generation
2022/08/23 by Zichao Wang, Weili Nie, Wang, Zichao +9 · 1 citation
Biochemistry, Genetics and Molecular Biology · Computer Science · Materials Science · #Computational Drug Discovery Methods #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Protein Structure and Dynamics #Quantitative Methods (q-bio.QM)
- Asymptotics of the Sketched Pseudoinverse
2022/11/07 by Daniel LeJeune, Pratik Patil, LeJeune, Daniel +7 · 1 citation
Computer Science · Mathematics · #15B52 #46L54 #62J07 #Advanced Combinatorial Mathematics #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #FOS: Mathematics #Matrix Theory and Algorithms #Numerical Analysis (math.NA) #Random Matrices and Applications #Statistics Theory (math.ST)
- Asymptotic Analysis of LASSOs Solution Path with Implications for Approximate Message Passing
2013/09/23 by Alireza Mousavi, Mousavi, Ali, Arian Maleki +3 · 2 citations
Engineering · #Advanced MIMO Systems Optimization #Advanced Wireless Communication Techniques #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (stat.ML) #Sparse and Compressive Sensing Techniques #Statistics Theory (math.ST)
- Investigating the Role of Feed-Forward Networks in Transformers Using Parallel Attention and Feed-Forward Net Design
2023/05/22 by Shashank Sonkar, Sonkar, Shashank, Richard G. Baraniuk +1 · 1 citation
Engineering · #Advancements in Battery Materials #Low-power high-performance VLSI design #Advanced Battery Technologies Research
- Training Dynamics of Deep Network Linear Regions
2023/10/19 by Ahmed Imtiaz Humayun, Humayun, Ahmed Imtiaz, Randall Balestriero +3 · 1 citation
Computer Science · Neuroscience · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications #Neural Networks and Reservoir Computing #Neural dynamics and brain function
- Marking: Visual Grading with Highlighting Errors and Annotating Missing Bits
2024/04/22 by Shashank Sonkar, Naiming Liu, Sonkar, Shashank +5 · 1 citation
Computer Science · Engineering · #Advanced Numerical Analysis Techniques #Advanced Vision and Imaging #Computation and Language (cs.CL) #FOS: Computer and information sciences #Image Processing Techniques and Applications
- MalAlgoQA: Pedagogical Evaluation of Counterfactual Reasoning in Large Language Models and Implications for AI in Education
2024/07/01 by Naiming Liu, Liu, Naiming, Shashank Sonkar +5 · 1 citation
Computer Science · #Computation and Language (cs.CL) #Computers and Society (cs.CY) #FOS: Computer and information sciences #Intelligent Tutoring Systems and Adaptive Learning
- A Primal-Dual Framework for Transformers and Neural Networks
2024/06/19 by Tan M. Nguyen, Tam W. Nguyen, Nguyen, Tan M. +9 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
- Atomic Learning Objectives Labeling: A High-Resolution Approach for Physics Education
2024/12/13 by Naiming Liu, Liu, Naiming, Shashank Sonkar +7 · 1 citation
Engineering · Psychology · Social Sciences · #Computers and Society (cs.CY) #Educational Assessment and Pedagogy #Educational Strategies and Epistemologies #Experimental Learning in Engineering #FOS: Computer and information sciences