Abhisek Kundu

According to our database1, Abhisek Kundu authored at least 20 papers between 2009 and 2024.

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Bibliography

2024
Harnessing Deep Learning and HPC Kernels via High-Level Loop and Tensor Abstractions on CPU Architectures.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

2023
AUTOSPARSE: Towards Automated Sparse Training of Deep Neural Networks.
CoRR, 2023

2022
Tensor Processing Primitives: A Programming Abstraction for Efficiency and Portability in Deep Learning and HPC Workloads.
Frontiers Appl. Math. Stat., 2022

2021
Tensor Processing Primitives: A Programming Abstraction for Efficiency and Portability in Deep Learning Workloads.
CoRR, 2021

Tensor processing primitives: a programming abstraction for efficiency and portability in deep learning workloads.
Proceedings of the International Conference for High Performance Computing, 2021

2019
K-TanH: Hardware Efficient Activations For Deep Learning.
CoRR, 2019

A Study of BFLOAT16 for Deep Learning Training.
CoRR, 2019

2017
A Randomized Rounding Algorithm for Sparse PCA.
ACM Trans. Knowl. Discov. Data, 2017

Recovering PCA and Sparse PCA via Hybrid-(l1, l2) Sparse Sampling of Data Elements.
J. Mach. Learn. Res., 2017

Relaxed leverage sampling for low-rank matrix completion.
Inf. Process. Lett., 2017

Ternary Neural Networks with Fine-Grained Quantization.
CoRR, 2017

Mixed Low-precision Deep Learning Inference using Dynamic Fixed Point.
CoRR, 2017

Ternary Residual Networks.
CoRR, 2017

2015
Element-wise matrix sparsification and reconstruction.
PhD thesis, 2015

Recovering PCA from Hybrid-(ℓ<sub>1</sub>, ℓ<sub>2</sub>) Sparse Sampling of Data Elements.
CoRR, 2015

A Randomized Rounding Algorithm for Sparse PCA.
CoRR, 2015

Approximating Sparse PCA from Incomplete Data.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014
A Note on Randomized Element-wise Matrix Sparsification.
CoRR, 2014

2010
Multi-dimensional discovery of biomarker and phenotype complexes.
BMC Bioinform., 2010

2009
Clinical Attribute Network for Chronic Lymphocytic Leukemia.
Proceedings of the 2009 IEEE International Conference on Bioinformatics and Biomedicine, 2009


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