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Aniruddha Nrusimha
Observed name:
Nrusimha, Aniruddha
Institution:
Massachusetts Institute of Technology
Observed institutions:
Massachusetts Institute of Technology,
University of California, Berkeley
OpenAlex ID:
A5079711996
Checkmate: Breaking the Memory Wall with Optimal Tensor Rematerialization
2019
·
Jain, Paras
, Jain, Ajay
, et al.
·
arXiv (Cornell University)
·
90
PDF
Integer-Only Zero-Shot Quantization for Efficient Speech Recognition
2022
·
Sehoon Kim
, Amir Gholami
, et al.
·
IEEE International Conference on Acoustics Speech and Signal Processing
·
24
Reducing Transformer Key-Value Cache Size with Cross-Layer Attention
2024
·
William Brandon
, Mayank Mishra
, et al.
·
neural information processing systems
·
17
PDF
SageDB
2022
·
Jialin Ding
, Ryan Marcus
, et al.
·
Proceedings of the VLDB Endowment
·
17
Hydra: Sequentially-Dependent Draft Heads for Medusa Decoding
2024
·
Ankner, Zachary
, Parthasarathy, Rishab
, et al.
·
arXiv (Cornell University)
·
2
PDF
Towards Verifiable Text Generation with Symbolic References
2023
·
Hennigen, Lucas Torroba
, Shen, Shannon
, et al.
·
arXiv (Cornell University)
·
2
PDF
Open Technical Problems in Open-Weight AI Model Risk Management
2025
·
Stephen Casper
, Kyle O'Brien
, et al.
·
SSRN Electronic Journal
·
1
Striped Attention: Faster Ring Attention for Causal Transformers
2023
·
Brandon, William
, Nrusimha, Aniruddha
, et al.
·
arXiv (Cornell University)
·
1
PDF
FlashFormer: Whole-Model Kernels for Efficient Low-Batch Inference
2025
·
Nrusimha, Aniruddha
, Brandon, William
, et al.
·
arXiv (Cornell University)
PDF
Mitigating the Impact of Outlier Channels for Language Model Quantization with Activation Regularization
2024
·
Nrusimha, Aniruddha
, Mishra, Mayank
, et al.
·
arXiv (Cornell University)
PDF
Q-ASR: Integer-only Zero-shot Quantization for Efficient Speech Recognition.
2021
·
Sehoon Kim
, Amir Gholami
, et al.
·
arXiv (Cornell University)
Integer-only Zero-shot Quantization for Efficient Speech Recognition
2021
·
Kim, Sehoon
, Gholami, Amir
, et al.
·
arXiv (Cornell University)
PDF
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Works count:
13
Citation count:
154
H-index:
4
I10-index:
4
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