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ORCIDNitin Satpute
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2020 – today
- 2024
[j7]Ruokai Yin
, Youngeun Kim, Yuhang Li, Abhishek Moitra, Nitin Satpute, Anna Hambitzer, Priyadarshini Panda:
Workload-Balanced Pruning for Sparse Spiking Neural Networks. IEEE Trans. Emerg. Top. Comput. Intell. 8(4): 2897-2907 (2024)- [c7]Isaac Andrés Canales Martinez, Jorge Chávez-Saab, Anna Hambitzer, Francisco Rodríguez-Henríquez, Nitin Satpute, Adi Shamir:
Polynomial Time Cryptanalytic Extraction of Neural Network Models. EUROCRYPT (3) 2024: 3-33 - 2023
- [c6]Kaushik More, Ganesh Korwar, Nitin Satpute, Kushal Masal, Viralkumar Patel:
Design of Hydrodynamic Journal Bearing for Integrally Geared Centrifugal Compressor. IC3I 2023: 896-900 - [c5]Nitin Satpute, Ganesh Korwar, N. S. Kulkarni, Siddharth Jabade, Nikhil Shinde:
Development of Shape Memory Alloy Based Heat Engine for Solar Energy Harvesting. IC3I 2023: 1250-1254 - [c4]Emanuele Bellini, Juan Grados, Mohamed Rachidi, Nitin Satpute, Joan Daemen, Solane El Hirch:
ACE-HoT: Accelerating an Extreme Amount of Symmetric Cipher Evaluations for (High-order) Avalanche Tests. LATINCRYPT 2023: 24-43 - [i6]Ruokai Yin, Youngeun Kim, Yuhang Li, Abhishek Moitra, Nitin Satpute, Anna Hambitzer, Priyadarshini Panda:
Workload-Balanced Pruning for Sparse Spiking Neural Networks. CoRR abs/2302.06746 (2023) - [i5]Adi Shamir, Isaac Andrés Canales Martinez, Anna Hambitzer, Jorge Chávez-Saab, Francisco Rodríguez-Henríquez, Nitin Satpute:
Polynomial Time Cryptanalytic Extraction of Neural Network Models. CoRR abs/2310.08708 (2023) - [i4]Emanuele Bellini, Juan Grados, Mohamed Rachidi, Nitin Satpute, Joan Daemen, Solane El Hirch:
ACE-HoT: Accelerating an extreme amount of symmetric Cipher Evaluations for High-Order avalanche Tests. IACR Cryptol. ePrint Arch. 2023: 1352 (2023) - [i3]Isaac Andrés Canales Martinez, Jorge Chávez-Saab, Anna Hambitzer, Francisco Rodríguez-Henríquez, Nitin Satpute, Adi Shamir:
Polynomial Time Cryptanalytic Extraction of Neural Network Models. IACR Cryptol. ePrint Arch. 2023: 1526 (2023) - 2022
- [c3]Ganesh Korwar, Siddharth Jabade, Nitin Satpute, Swapnil Arawade:
Numerical Simulation of MERVH (Motion and Energy Regulating Vibration Harvester) for different human activities. IC3I 2022: 1255-1260 - [c2]Nitin Satpute, Anna Hambitzer, Saeed Aljaberi, Najwa Aaraj:
GPU4SNN: GPU-Based Acceleration for Spiking Neural Network Simulations. PPAM (1) 2022: 399-413 - 2021
- [j6]Rabia Naseem, Zohaib Amjad Khan, Nitin Satpute, Azeddine Beghdadi, Faouzi Alaya Cheikh, Joaquín Olivares:
Cross-Modality Guided Contrast Enhancement for Improved Liver Tumor Image Segmentation. IEEE Access 9: 118154-118167 (2021) - 2020
- [j5]Nitin Satpute, Juan Gómez-Luna, Joaquín Olivares:
Accelerating Chan-Vese model with cross-modality guided contrast enhancement for liver segmentation. Comput. Biol. Medicine 124: 103930 (2020) - [j4]Orestis Zachariadis, Nitin Satpute, Juan Gómez-Luna, Joaquín Olivares:
Accelerating sparse matrix-matrix multiplication with GPU Tensor Cores. Comput. Electr. Eng. 88: 106848 (2020) - [j3]Nitin Satpute, Rabia Naseem, Egidijus Pelanis, Juan Gómez-Luna, Faouzi Alaya Cheikh, Ole Jakob Elle, Joaquín Olivares:
GPU acceleration of liver enhancement for tumor segmentation. Comput. Methods Programs Biomed. 184: 105285 (2020) - [j2]Nitin Satpute, Rabia Naseem, Rafael Palomar, Orestis Zachariadis, Juan Gómez-Luna, Faouzi Alaya Cheikh, Joaquín Olivares:
Fast parallel vessel segmentation. Comput. Methods Programs Biomed. 192: 105430 (2020) - [j1]Orestis Zachariadis, Andrea Teatini, Nitin Satpute, Juan Gómez-Luna, Onur Mutlu, Ole Jakob Elle, Joaquín Olivares:
Accelerating B-spline interpolation on GPUs: Application to medical image registration. Comput. Methods Programs Biomed. 193: 105431 (2020) - [i2]Orestis Zachariadis, Andrea Teatini, Nitin Satpute, Juan Gómez-Luna, Onur Mutlu, Ole Jakob Elle, Joaquín Olivares:
Accelerating B-spline Interpolation on GPUs: Application to Medical Image Registration. CoRR abs/2004.05962 (2020) - [i1]Orestis Zachariadis, Nitin Satpute, Juan Gómez-Luna, Joaquín Olivares:
Accelerating Sparse Matrix-Matrix Multiplication with GPU Tensor Cores. CoRR abs/2009.14600 (2020)
2010 – 2019
- 2015
- [c1]Mahnaz Mohammadi, Nitin Satpute, Rohit Ronge, Jayesh R. Chandiramani, S. K. Nandy, Aamir Raihan, Tanmay Verma, Ranjani Narayan, Sukumar Bhattacharya:
A Flexible Scalable Hardware Architecture for Radial Basis Function Neural Networks. VLSID 2015: 505-510
Coauthor Index
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