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Publication search results
found 63 matches
- 2024
- Amir Abboud, Nick Fischer, Zander Kelley, Shachar Lovett, Raghu Meka:
New Graph Decompositions and Combinatorial Boolean Matrix Multiplication Algorithms. STOC 2024: 935-943 - Amir Zandieh, Insu Han, Vahab Mirrokni, Amin Karbasi:
SubGen: Token Generation in Sublinear Time and Memory. CoRR abs/2402.06082 (2024) - 2023
- Hossein Karimkhan Zand, Kazem Mazlumi
, Amir Bagheri
, Ali Abdali
:
Optimal coordination of DOCRs in microgrid via contingency reduction mechanism and clustering algorithms considering various network topologies based on N-2 contingencies. Expert Syst. Appl. 234: 121061 (2023) - Amir Zandieh, Insu Han, Majid Daliri, Amin Karbasi:
KDEformer: Accelerating Transformers via Kernel Density Estimation. ICML 2023: 40605-40623 - Mohammadreza Zandehshahvar, Marly van Assen, Eun Young Kim, Yashar Kiarashi, Vikranth Keerthipati, Arthur E. Stillman, Peter Filev, Amir H. Davarpanah, Eugene A. Berkowitz, Stefan Tigges, Scott J. Lee, Brianna L. Vey, Carlo Nicola De Cecco, Ali Adibi:
Bayesian neural networks for severity assessment of COVID-19 pneumonia from chest x-ray using a multi-reader and binational dataset. Medical Imaging: Computer-Aided Diagnosis 2023 - Alceste Deli, Robert Toth
, Mayela Zamora, Amir P. Divanbeighi Zand, Alexander L. Green, Timothy Denison:
The Design of Brainstem Interfaces: Characterisation of Physiological Artefacts and Implications for Closed-loop Algorithms. NER 2023: 1-5 - Amir Zandieh, Insu Han, Haim Avron:
Near Optimal Reconstruction of Spherical Harmonic Expansions. NeurIPS 2023 - Alceste Deli, Mayela Zamora, John E. Fleming, Amir P. Divanbeighi Zand, Moaad Benjaber, Alexander L. Green, Timothy Denison:
Bioelectronic Zeitgebers: Targeted Neuromodulation to Re-Establish Circadian Rhythms. SMC 2023: 2301-2308 - Karl Bringmann, Michael Kapralov, Mikhail Makarov, Vasileios Nakos, Amir Yagudin, Amir Zandieh
:
Traversing the FFT Computation Tree for Dimension-Independent Sparse Fourier Transforms. SODA 2023: 4768-4845 - Amir Zandieh, Insu Han, Majid Daliri, Amin Karbasi:
KDEformer: Accelerating Transformers via Kernel Density Estimation. CoRR abs/2302.02451 (2023) - Insu Han, Rajesh Jayaram, Amin Karbasi, Vahab Mirrokni, David P. Woodruff, Amir Zandieh:
HyperAttention: Long-context Attention in Near-Linear Time. CoRR abs/2310.05869 (2023) - Amir Abboud, Nick Fischer, Zander Kelley, Shachar Lovett, Raghu Meka:
New Graph Decompositions and Combinatorial Boolean Matrix Multiplication Algorithms. CoRR abs/2311.09095 (2023) - Amir Abboud, Nick Fischer, Zander Kelley, Shachar Lovett, Raghu Meka:
New Graph Decompositions and Combinatorial Boolean Matrix Multiplication Algorithms. Electron. Colloquium Comput. Complex. TR23 (2023) - 2022
- Mohammad Taheri-Ledari, Amirali Zandieh, Seyed Peyman Shariatpanahi
, Changiz Eslahchi:
Assignment of structural domains in proteins using diffusion kernels on graphs. BMC Bioinform. 23(1): 369 (2022) - Insu Han, Amir Zandieh
, Haim Avron:
Random Gegenbauer Features for Scalable Kernel Methods. ICML 2022: 8330-8358 - David P. Woodruff, Amir Zandieh
:
Leverage Score Sampling for Tensor Product Matrices in Input Sparsity Time. ICML 2022: 23933-23964 - Insu Han, Amir Zandieh, Jaehoon Lee, Roman Novak, Lechao Xiao, Amin Karbasi:
Fast Neural Kernel Embeddings for General Activations. NeurIPS 2022 - Insu Han, Amir Zandieh, Haim Avron:
Random Gegenbauer Features for Scalable Kernel Methods. CoRR abs/2202.03474 (2022) - David P. Woodruff, Amir Zandieh:
Leverage Score Sampling for Tensor Product Matrices in Input Sparsity Time. CoRR abs/2202.04515 (2022) - Amir Zandieh, Insu Han, Haim Avron:
Near Optimal Reconstruction of Spherical Harmonic Expansions. CoRR abs/2202.12995 (2022) - Insu Han, Amir Zandieh, Jaehoon Lee, Roman Novak, Lechao Xiao, Amin Karbasi:
Fast Neural Kernel Embeddings for General Activations. CoRR abs/2209.04121 (2022) - 2021
- Ahmad Pouradabi
, Amir Rastegarnia
, Sajad Zandi
, Wael M. Bazzi
, Saeid Sanei:
A Class of Diffusion Proportionate Subband Adaptive Filters for Sparse System Identification over Distributed Networks. Circuits Syst. Signal Process. 40(12): 6242-6264 (2021) - Seyed Abolfazl Ghasemzadeh, Gabriel Van Zandycke, Maxime Istasse, Niels Sayez, Amirafshar Moshtaghpour, Christophe De Vleeschouwer:
DeepSportLab: a Unified Framework for Ball Detection, Player Instance Segmentation and Pose Estimation in Team Sports Scenes. BMVC 2021: 379 - Amir Zandieh, Insu Han, Haim Avron, Neta Shoham, Chaewon Kim, Jinwoo Shin:
Scaling Neural Tangent Kernels via Sketching and Random Features. NeurIPS 2021: 1062-1073 - Amir Zandieh:
Learning with Neural Tangent Kernels in Near Input Sparsity Time. CoRR abs/2104.00415 (2021) - Amir Zandieh, Insu Han, Haim Avron, Neta Shoham, Chaewon Kim, Jinwoo Shin:
Scaling Neural Tangent Kernels via Sketching and Random Features. CoRR abs/2106.07880 (2021) - Karl Bringmann, Michael Kapralov, Mikhail Makarov, Vasileios Nakos, Amir Yagudin, Amir Zandieh:
Sparse Fourier Transform by traversing Cooley-Tukey FFT computation graphs. CoRR abs/2107.07347 (2021) - Seyed Abolfazl Ghasemzadeh, Gabriel Van Zandycke, Maxime Istasse, Niels Sayez, Amirafshar Moshtaghpour, Christophe De Vleeschouwer:
DeepSportLab: a Unified Framework for Ball Detection, Player Instance Segmentation and Pose Estimation in Team Sports Scenes. CoRR abs/2112.00627 (2021) - 2020
- Amir Zandieh:
Fourier Sampling in Signal Processing and Numerical Linear Algebra. EPFL, Switzerland, 2020 - Amir Zandieh, Navid Nouri, Ameya Velingker, Michael Kapralov, Ilya P. Razenshteyn:
Scaling up Kernel Ridge Regression via Locality Sensitive Hashing. AISTATS 2020: 4088-4097
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