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2020 – today
- 2025
[i5]Amitash Nanda, Md Kamal Hossain Chowdhury, Hannah Ross, Kevin Gott:
Exploring Dynamic Load Balancing Algorithms for Block-Structured Mesh-and-Particle Simulations in AMReX. CoRR abs/2505.15122 (2025)- [i4]Amitash Nanda
, Sree Bhargavi Balija, Debashis Sahoo:
FedNAMs: Performing Interpretability Analysis in Federated Learning Context. CoRR abs/2506.17466 (2025) - [i3]Sree Bhargavi Balija, Amitash Nanda, Debashis Sahoo:
Decoding Federated Learning: The FedNAM+ Conformal Revolution. CoRR abs/2506.17872 (2025) - 2024
- [c2]Sree Bhargavi Balija, Amitash Nanda, Debashis Sahoo:
Building Communication Efficient Asynchronous Peer-to-Peer Federated LLMs with Blockchain. AAAI Spring Symposia 2024: 288-292 - [i2]Amitash Nanda, Sree Bhargavi Balija, Debashis Sahoo:
CPTQuant - A Novel Mixed Precision Post-Training Quantization Techniques for Large Language Models. CoRR abs/2412.03599 (2024) - 2023
- [b1]Amitash Nanda:
Novel Vision-AI Techniques for Morphological Discovery in System Biology. University of California San Diego, USA, 2023 - 2022
- [i1]Dharanidhar Dang, Amitash Nanda, Bill Lin, Debashis Sahoo:
NeuCASL: From Logic Design to System Simulation of Neuromorphic Engines. CoRR abs/2208.03500 (2022)
2010 – 2019
- 2018
- [c1]Raghavendra Vedula, Amitash Nanda, Sai Sankar Gochhayat, Asutosh Hota, Rishav Agarwal, Sanjay Reddy K, Sandeep Mahapatra, Keshab Kishor Swain, Siddharth Das:
Computer Vision Assisted Autonomous Intra-Row Weeder. ICIT 2018: 79-84
Coauthor Index
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last updated on 2025-09-09 03:12 CEST by the dblp team
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