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Ankur Mallick
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2020 – today
- 2024
- [c10]Dujian Ding, Ankur Mallick, Chi Wang, Robert Sim, Subhabrata Mukherjee, Victor Rühle, Laks V. S. Lakshmanan, Ahmed Hassan Awadallah:
Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing. ICLR 2024 - [i6]Dujian Ding, Ankur Mallick, Chi Wang, Robert Sim, Subhabrata Mukherjee, Victor Rühle, Laks V. S. Lakshmanan, Ahmed Hassan Awadallah:
Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing. CoRR abs/2404.14618 (2024) - 2022
- [j2]Ankur Mallick, Malhar Chaudhari, Utsav Sheth, Ganesh Palanikumar, Gauri Joshi:
Rateless codes for near-perfect load balancing in distributed matrix-vector multiplication. Commun. ACM 65(5): 111-118 (2022) - [c9]Ankur Mallick, Gauri Joshi:
Rateless Sum-Recovery Codes For Distributed Non-Linear Computations. ITW 2022: 160-165 - [c8]Ankur Mallick, Kevin Hsieh, Behnaz Arzani, Gauri Joshi:
Matchmaker: Data Drift Mitigation in Machine Learning for Large-Scale Systems. MLSys 2022 - 2021
- [c7]Ankur Mallick, Sophie Smith, Gauri Joshi:
Rateless Codes for Distributed Non-linear Computations. ISTC 2021: 1-5 - [c6]Divyansh Jhunjhunwala, Ankur Mallick, Advait Gadhikar, Swanand Kadhe, Gauri Joshi:
Leveraging Spatial and Temporal Correlations in Sparsified Mean Estimation. NeurIPS 2021: 14280-14292 - [c5]Ankur Mallick, Chaitanya Dwivedi, Bhavya Kailkhura, Gauri Joshi, Thomas Yong-Jin Han:
Deep kernels with probabilistic embeddings for small-data learning. UAI 2021: 918-928 - [i5]Divyansh Jhunjhunwala, Ankur Mallick, Advait Gadhikar, Swanand Kadhe, Gauri Joshi:
Leveraging Spatial and Temporal Correlations in Sparsified Mean Estimation. CoRR abs/2110.07751 (2021) - 2020
- [c4]Ankur Mallick, Malhar Chaudhari, Utsav Sheth, Ganesh Palanikumar, Gauri Joshi:
Rateless Codes for Near-Perfect Load Balancing in Distributed Matrix-Vector Multiplication. SIGMETRICS (Abstracts) 2020: 95-96 - [i4]Ankur Mallick, Chaitanya Dwivedi, Bhavya Kailkhura, Gauri Joshi, Thomas Yong-Jin Han:
Probabilistic Neighbourhood Component Analysis: Sample Efficient Uncertainty Estimation in Deep Learning. CoRR abs/2007.10800 (2020)
2010 – 2019
- 2019
- [j1]Ankur Mallick, Malhar Chaudhari, Utsav Sheth, Ganesh Palanikumar, Gauri Joshi:
Rateless Codes for Near-Perfect Load Balancing in Distributed Matrix-Vector Multiplication. Proc. ACM Meas. Anal. Comput. Syst. 3(3): 58:1-58:40 (2019) - [c3]Ankur Mallick, Malhar Chaudhari, Gauri Joshi:
Fast and Efficient Distributed Matrix-vector Multiplication Using Rateless Fountain Codes. ICASSP 2019: 8192-8196 - [c2]Ankur Mallick, Gauri Joshi:
Rateless Codes for Distributed Computations with Sparse Compressed Matrices. ISIT 2019: 2793-2797 - [i3]Ankur Mallick, Chaitanya Dwivedi, Bhavya Kailkhura, Gauri Joshi, Thomas Yong-Jin Han:
Deep Probabilistic Kernels for Sample-Efficient Learning. CoRR abs/1910.05858 (2019) - 2018
- [i2]Ankur Mallick, Malhar Chaudhari, Gauri Joshi:
Rateless Codes for Near-Perfect Load Balancing in Distributed Matrix-Vector Multiplication. CoRR abs/1804.10331 (2018) - 2016
- [c1]Ankur Mallick, Animesh Kumar:
Bandlimited field reconstruction from samples obtained on a discrete grid with unknown random locations. ICASSP 2016: 4014-4018 - [i1]Ankur Mallick, Animesh Kumar:
Bandlimited Field Reconstruction from Samples Obtained at Unknown Random Locations on a Grid. CoRR abs/1611.10211 (2016)
Coauthor Index
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last updated on 2024-08-08 19:17 CEST by the dblp team
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