Sarlos, Tamas
- Rethinking Attention with Performers
2020/09/30 by Krzysztof Choromański, Choromanski, Krzysztof, Valerii Likhosherstov +23 · 270 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #Advanced Neural Network Applications #Topic Modeling
- Fastfood: Approximate Kernel Expansions in Loglinear Time
2014/08/13 by Quoc V. Le, Le, Quoc Viet, Tamás Sarlós +3 · 9 citations
Computer Science · Mathematics · #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Tensor decomposition and applications
- Faster Least Squares Approximation
2007/10/07 by Petros Drineas, Michael W. Mahoney, Drineas, Petros +5 · 7 citations
Computer Science · Engineering · #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Machine Learning and Algorithms #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
- Orthogonal Estimation of Wasserstein Distances
2019/03/09 by Mark Rowland, Rowland, Mark, Jiri Hron +9 · 6 citations
Computer Science · Engineering · #3D Shape Modeling and Analysis #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- From block-Toeplitz matrices to differential equations on graphs: towards a general theory for scalable masked Transformers
2021/07/16 by Krzysztof Choromański, Choromanski, Krzysztof, Han Lin +17 · 7 citations
Mathematics · Neuroscience · Physics and Astronomy · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Photoreceptor and optogenetics research #Quantum optics and atomic interactions #Random Matrices and Applications
- SARA-RT: Scaling up Robotics Transformers with Self-Adaptive Robust Attention
2023/12/04 by Leal, Isabel, Choromanski, Krzysztof, Jain, Deepali +11 · 9 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Robotics (cs.RO)
- Masked Language Modeling for Proteins via Linearly Scalable Long-Context Transformers
2020/06/05 by Krzysztof Choromański, Choromanski, Krzysztof, Valerii Likhosherstov +21 · 4 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Materials Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Bioinformatics #Machine Learning in Materials Science #Topic Modeling
- Matrix-Free Preconditioning in Online Learning
2019/05/29 by Ashok Cutkosky, Cutkosky, Ashok, Tamás Sarlós +1 · 1 citation
Computer Science · Decision Sciences · Engineering · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
- Learning a Fourier Transform for Linear Relative Positional Encodings in Transformers
2023/02/03 by Krzysztof Choromański, Choromanski, Krzysztof Marcin, Shanda Li +17 · 1 citation
Biochemistry, Genetics and Molecular Biology · Computer Science · Materials Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Machine Learning in Bioinformatics #Machine Learning in Materials Science