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Sharath Turuvekere Sreenivas
Observed name:
Sreenivas, Sharath Turuvekere
Observed institutions:
Nvidia (United Kingdom),
Nvidia (United States)
OpenAlex ID:
A5084832562
GANDALF: Generative Adversarial Networks with Discriminator-Adaptive Loss Fine-Tuning for Alzheimer’s Disease Diagnosis from MRI
2020
·
Hoo-Chang Shin
, Alvin Ihsani
, et al.
·
Lecture notes in computer science
·
29
PDF
GANBERT: Generative Adversarial Networks with Bidirectional Encoder Representations from Transformers for MRI to PET synthesis
2020
·
Shin, Hoo-Chang
, Ihsani, Alvin
, et al.
·
arXiv (Cornell University)
·
13
PDF
LLM Pruning and Distillation in Practice: The Minitron Approach
2024
·
Sreenivas, Sharath Turuvekere
, Muralidharan, Saurav
, et al.
·
arXiv (Cornell University)
·
3
PDF
NVIDIA Nemotron 3: Efficient and Open Intelligence
2025
·
NVIDIA
, :
, et al.
·
arXiv (Cornell University)
·
1
PDF
Nemotron 3.5 Super and Lightning: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Models for Agentic AI
2026
·
NVIDIA
, :
, et al.
·
arXiv (Cornell University)
PDF
CSD: Common-Support Distillation for Cross-Tokenizer Knowledge Transfer
2026
·
Yang, Mingyu
, Sreenivas, Sharath Turuvekere
, et al.
·
arXiv (Cornell University)
PDF
When Do We Need On-Policy Distillation? Distilling on Offline Student Rollouts Is Often Better
2026
·
Zhao, Siyan
, Fu, Yonggan
, et al.
·
arXiv (Cornell University)
PDF
Nemotron-Labs-3-Puzzle-75B-A9B: Compressing Hybrid MoE LLMs
2026
·
Bercovich, Akhiad
, Abramovich, Talor
, et al.
·
arXiv (Cornell University)
PDF
Nemotron 3 Ultra: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning
2026
·
NVIDIA
, :
, et al.
·
arXiv (Cornell University)
PDF
X-Token: Projection-Guided Cross-Tokenizer Knowledge Distillation
2026
·
Sreenivas, Sharath Turuvekere
, Hanasoge, Adithyakrishna Venkatesh
, et al.
·
arXiv (Cornell University)
PDF
Star Elastic: Many-in-One Reasoning LLMs with Efficient Budget Control
2026
·
Taghibakhshi, Ali
, Cai, Ruisi
, et al.
·
arXiv (Cornell University)
PDF
Nemotron 3 Super: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning
2026
·
NVIDIA
, :
, et al.
·
arXiv (Cornell University)
PDF
Quantization-Aware Distillation for NVFP4 Inference Accuracy Recovery
2026
·
Xin, Meng
, Priyadarshi, Sweta
, et al.
·
arXiv (Cornell University)
PDF
Nemotron-Labs-Diffusion: A Tri-Mode Language Model Unifying Autoregressive, Diffusion, and Self-Speculation Decoding
2026
·
Yonggan Fu
, Lexington Whalen
, et al.
·
Conference on Empirical Methods in Natural Language Processing (EMNLP)
PDF
Nemotron 3 Nano: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning
2025
·
NVIDIA
, :
, et al.
·
arXiv (Cornell University)
PDF
Nemotron Elastic: Towards Efficient Many-in-One Reasoning LLMs
2025
·
Taghibakhshi, Ali
, Sreenivas, Sharath Turuvekere
, et al.
·
arXiv (Cornell University)
PDF
NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning Model
2025
·
NVIDIA
, :
, et al.
·
arXiv (Cornell University)
PDF
Minitron-SSM: Efficient Hybrid Language Model Compression through Group-Aware SSM Pruning
2025
·
Taghibakhshi, Ali
, Sreenivas, Sharath Turuvekere
, et al.
·
arXiv (Cornell University)
PDF
Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models
2025
·
NVIDIA
, :
, et al.
·
arXiv (Cornell University)
PDF
Efficient Hybrid Language Model Compression through Group-Aware SSM Pruning
2025
·
Ali Taghibakhshi
, Sharath Turuvekere Sreenivas
, et al.
·
neural information processing systems
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Works count:
21
Citation count:
77
H-index:
3
I10-index:
3
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