Baraniuk, Richard G.
- Self-Consuming Generative Models Go MAD
2023/07/04 by Sina Alemohammad, Josue Casco-Rodriguez, Alemohammad, Sina +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 B. Patel, Ankit 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
- WIRE: Wavelet Implicit Neural Representations
2023/01/05 by Saragadam, Vishwanath, LeJeune, Daniel, Tan, Jasper +3 · 43 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Graphics (cs.GR) #Image and Video Processing (eess.IV) #electronic engineering #information engineering
- Deep Learning Techniques for Inverse Problems in Imaging
2020/05/12 by Greg Ongie, Ajil Jalal, Ongie, Gregory +9 · 30 citations
Medicine · Engineering · #Medical Imaging Techniques and Applications #Sparse and Compressive Sensing Techniques #Advanced X-ray and CT Imaging
- From Denoising to Compressed Sensing
2014/06/16 by Metzler, Christopher A., Maleki, Arian, Baraniuk, Richard G. · 7 citations
#FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (stat.ML) #Statistics Theory (math.ST)
- Learned D-AMP: Principled Neural Network based Compressive Image Recovery
2017/04/21 by Metzler, Christopher A., Mousavi, Ali, Baraniuk, Richard G. · 5 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Instructions and Guide for Diagnostic Questions: The NeurIPS 2020 Education Challenge
2020/07/23 by Zichao Wang, Angus Lamb, Wang, Zichao +21 · 6 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
- Robust 1-Bit Compressive Sensing via Binary Stable Embeddings of Sparse Vectors
2011/04/15 by Jacques, Laurent, Laska, Jason N., Boufounos, Petros T. +1 · 4 citations
#FOS: Computer and information sciences #Information Theory (cs.IT)
- Math Word Problem Generation with Mathematical Consistency and Problem Context Constraints
2021/09/09 by Zichao Wang, Wang, Zichao, Andrew Lan +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, You, Haoran, Chaojian Li +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
- Unsupervised Learning with Stein's Unbiased Risk Estimator
2018/05/26 by Metzler, Christopher A., Mousavi, Ali, Heckel, Reinhard +1 · 4 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Mitigating Over-smoothing in Transformers via Regularized Nonlocal Functionals
2023/12/01 by Nguyen, Tam, Nguyen, Tan M., Baraniuk, Richard G. · 8 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
- 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, Philip Schniter, Metzler, Christopher A. +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
- CLASS: A Design Framework for building Intelligent Tutoring Systems based on Learning Science principles
2023/05/22 by Sonkar, Shashank, Liu, Naiming, Mallick, Debshila Basu +1 · 5 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences
- 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
- Pedagogical Alignment of Large Language Models
2024/02/07 by Sonkar, Shashank, Ni, Kangqi, Chaudhary, Sapana +1 · 5 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences
- 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
- Results and Insights from Diagnostic Questions: The NeurIPS 2020 Education Challenge
2021/04/08 by Wang, Zichao, Lamb, Angus, Saveliev, Evgeny +9 · 2 citations
#Computers and Society (cs.CY) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC)
- Evaluating generative networks using Gaussian mixtures of image features
2021/10/08 by Luzi, Lorenzo, Marrero, Carlos Ortiz, Wynar, Nile +2 · 2 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Sparse Bilinear Logistic Regression
2014/04/15 by Shi, Jianing V., Xu, Yangyang, Baraniuk, Richard G. · 1 citation
#65K10 #68Q32 #68W40 #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC)
- 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, Lina Xu, Sankaranarayanan, Aswin C. +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, Humayun, Ahmed Imtiaz +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
- Data-Mining Textual Responses to Uncover Misconception Patterns
2017/03/24 by Michalenko, Joshua J., Lan, Andrew S., Baraniuk, Richard G. · 1 citation
#Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (stat.ML)
- 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
- 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 LeJeune, Daniel, Dasarathy, Gautam, Baraniuk, Richard G. · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- 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 Dar, Yehuda, Baraniuk, Richard G. · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- qDKT: Question-centric Deep Knowledge Tracing
2020/05/25 by Sonkar, Shashank, Waters, Andrew E., Lan, Andrew S. +2 · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- PIDformer: Transformer Meets Control Theory
2024/02/25 by Nguyen, Tam, Uribe, César A., Nguyen, Tan M. +1 · 2 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Electrical engineering #Systems and Control (eess.SY) #electronic engineering #information engineering
- 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
- DeepTensor: Low-Rank Tensor Decomposition with Deep Network Priors
2022/04/07 by Saragadam, Vishwanath, Balestriero, Randall, Veeraraghavan, Ashok +1 · 1 citation
#Applications (stat.AP) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Momentum Transformer: Closing the Performance Gap Between Self-attention and Its Linearization
2022/08/01 by Nguyen, Tan, Baraniuk, Richard G., Kirby, Robert M. +2 · 1 citation
#65Pxx #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Numerical Analysis (math.NA)
- Asymptotics of the Sketched Pseudoinverse
2022/11/07 by Daniel LeJeune, LeJeune, Daniel, Pratik Patil +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)
- LLM-based Cognitive Models of Students with Misconceptions
2024/10/16 by Sonkar, Shashank, Chen, Xinghe, Liu, Naiming +2 · 2 citations
#Computation and Language (cs.CL) #Computers and Society (cs.CY) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG)
- Investigating the Role of Feed-Forward Networks in Transformers Using Parallel Attention and Feed-Forward Net Design
2023/05/22 by Shashank Sonkar, Richard G. Baraniuk, Sonkar, Shashank +1 · 1 citation
Engineering · #Advancements in Battery Materials #Low-power high-performance VLSI design #Advanced Battery Technologies Research
- Novice Learner and Expert Tutor: Evaluating Math Reasoning Abilities of Large Language Models with Misconceptions
2023/10/03 by Liu, Naiming, Sonkar, Shashank, Wang, Zichao +2 · 1 citation
#Computation and Language (cs.CL) #FOS: Computer and information sciences
- Marking: Visual Grading with Highlighting Errors and Annotating Missing Bits
2024/04/22 by Shashank Sonkar, Sonkar, Shashank, Naiming Liu +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