Clinical Attribute Network for Chronic Lymphocytic Leukemia. - Abhisek Kundu; Hatice Gulcin Ozer; Tara Borlawsky; Kristin C. Circle; Kun Huang 001; Philip R. O. Payne (BIBM, 2009)

Multi-dimensional discovery of biomarker and phenotype complexes. - Philip R. O. Payne; Kun Huang 001; Kristin Keen-Circle; Abhisek Kundu; Jie Zhang 010; Tara Borlawsky (BMC Bioinform., 2010)

A Note on Randomized Element-wise Matrix Sparsification. - Abhisek Kundu; Petros Drineas (CoRR, 2014)

Approximating Sparse PCA from Incomplete Data. - Abhisek Kundu; Petros Drineas; Malik Magdon-Ismail (NIPS, 2015)

A Randomized Rounding Algorithm for Sparse PCA. - Petros Drineas; Kimon Fountoulakis; Abhisek Kundu (CoRR, 2015)

Recovering PCA from Hybrid-(ℓ1, ℓ2) Sparse Sampling of Data Elements. - Abhisek Kundu; Petros Drineas; Malik Magdon-Ismail (CoRR, 2015)

Element-wise matrix sparsification and reconstruction. - Abhisek Kundu (2015)

Ternary Residual Networks. - Abhisek Kundu; Kunal Banerjee 001; Naveen Mellempudi; Dheevatsa Mudigere; Dipankar Das 002; Bharat Kaul; Pradeep Dubey (CoRR, 2017)

Mixed Low-precision Deep Learning Inference using Dynamic Fixed Point. - Naveen Mellempudi; Abhisek Kundu; Dipankar Das 002; Dheevatsa Mudigere; Bharat Kaul (CoRR, 2017)

Ternary Neural Networks with Fine-Grained Quantization. - Naveen Mellempudi; Abhisek Kundu; Dheevatsa Mudigere; Dipankar Das 002; Bharat Kaul; Pradeep Dubey (CoRR, 2017)

Relaxed leverage sampling for low-rank matrix completion. - Abhisek Kundu (Inf. Process. Lett., 2017)

Recovering PCA and Sparse PCA via Hybrid-(l1, l2) Sparse Sampling of Data Elements. - Abhisek Kundu; Petros Drineas; Malik Magdon-Ismail (J. Mach. Learn. Res., 2017)

A Randomized Rounding Algorithm for Sparse PCA. - Kimon Fountoulakis; Abhisek Kundu; Eugenia-Maria Kontopoulou; Petros Drineas (ACM Trans. Knowl. Discov. Data, 2017)

A Study of BFLOAT16 for Deep Learning Training. - Dhiraj D. Kalamkar; Dheevatsa Mudigere; Naveen Mellempudi; Dipankar Das 002; Kunal Banerjee 001; Sasikanth Avancha; Dharma Teja Vooturi; Nataraj Jammalamadaka; Jianyu Huang; Hector Yuen; Jiyan Yang; Jongsoo Park; et al. (CoRR, 2019)

K-TanH: Hardware Efficient Activations For Deep Learning. - Abhisek Kundu; Sudarshan Srinivasan; Eric C. Qin; Dhiraj D. Kalamkar; Naveen K. Mellempudi; Dipankar Das 002; Kunal Banerjee 001; Bharat Kaul; Pradeep Dubey (CoRR, 2019)

Tensor processing primitives: a programming abstraction for efficiency and portability in deep learning workloads. - Evangelos Georganas; Dhiraj D. Kalamkar; Sasikanth Avancha; Menachem Adelman; Cristina Anderson; Alexander Breuer; Jeremy Bruestle; Narendra Chaudhary; Abhisek Kundu; Denise Kutnick; Frank Laub; Md. Vasimuddin; et al. (SC, 2021)

Tensor Processing Primitives: A Programming Abstraction for Efficiency and Portability in Deep Learning Workloads. - Evangelos Georganas; Dhiraj D. Kalamkar; Sasikanth Avancha; Menachem Adelman; Cristina Anderson; Alexander Breuer; Narendra Chaudhary; Abhisek Kundu; Md. Vasimuddin; Sanchit Misra; Ramanarayan Mohanty; Hans Pabst; et al. (CoRR, 2021)

Tensor Processing Primitives: A Programming Abstraction for Efficiency and Portability in Deep Learning and HPC Workloads. - Evangelos Georganas; Dhiraj D. Kalamkar; Sasikanth Avancha; Menachem Adelman; Deepti Aggarwal; Cristina Anderson; Alexander Breuer; Jeremy Bruestle; Narendra Chaudhary; Abhisek Kundu; Denise Kutnick; Frank Laub; et al. (Frontiers Appl. Math. Stat., 2022)

AUTOSPARSE: Towards Automated Sparse Training of Deep Neural Networks. - Abhisek Kundu; Naveen K. Mellempudi; Dharma Teja Vooturi; Bharat Kaul; Pradeep Dubey (CoRR, 2023)

Harnessing Deep Learning and HPC Kernels via High-Level Loop and Tensor Abstractions on CPU Architectures. - Evangelos Georganas; Dhiraj D. Kalamkar; Kirill Voronin; Abhisek Kundu; Antonio Noack; Hans Pabst; Alexander Breuer; Alexander Heinecke (IPDPS, 2024)