| Rateless codes for near-perfect load balancing in distributed matrix-vector multiplication A Mallick, M Chaudhari, U Sheth, G Palanikumar, G Joshi arXiv preprint arXiv:1804.10331, 2018 | 128 | 2018 |
| Fast and efficient distributed matrix-vector multiplication using rateless fountain codes A Mallick, M Chaudhari, G Joshi ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 33 | 2019 |
| Probabilistic neighbourhood component analysis: sample efficient uncertainty estimation in deep learning A Mallick, C Dwivedi, B Kailkhura, G Joshi, T Han arXiv preprint arXiv:2007.10800, 2020 | 13* | 2020 |
| Matchmaker: Data drift mitigation in machine learning for large-scale systems A Mallick, K Hsieh, B Arzani, G Joshi Proceedings of Machine Learning and Systems 4, 77-94, 2022 | 11 | 2022 |
| Deep kernels with probabilistic embeddings for small-data learning A Mallick, C Dwivedi, B Kailkhura, G Joshi, TYJ Han Uncertainty in Artificial Intelligence, 918-928, 2021 | 9* | 2021 |
| Rateless Codes for Distributed Computations with Sparse Compressed Matrices A Mallick, G Joshi 2019 IEEE International Symposium on Information Theory (ISIT), 2793-2797, 2019 | 8 | 2019 |
| Leveraging spatial and temporal correlations in sparsified mean estimation D Jhunjhunwala, A Mallick, A Gadhikar, S Kadhe, G Joshi Advances in Neural Information Processing Systems 34, 14280-14292, 2021 | 6 | 2021 |
| Rateless codes for near-perfect load balancing in distributed matrix-vector multiplication A Mallick, M Chaudhari, U Sheth, G Palanikumar, G Joshi Communications of the ACM 65 (5), 111-118, 2022 | 5 | 2022 |
| Rateless codes for distributed non-linear computations A Mallick, S Smith, G Joshi 2021 11th International Symposium on Topics in Coding (ISTC), 1-5, 2021 | 5 | 2021 |
| Bandlimited field reconstruction from samples obtained on a discrete grid with unknown random locations A Mallick, A Kumar 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 3 | 2016 |
| Sample efficient uncertainty estimation using probabilistic neighborhood component analysis A Mallick, C Dwivedi, B Kailkhura, G Joshi, Y Han Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2020 | 1 | 2020 |
| Rateless codes for straggler mitigation in distributed computing A Mallick, M Chaudhari, G Joshi | 1 | 2019 |
| Data drift mitigation in machine learning for large-scale systems T Hsieh, B Arzani, A Mallick US Patent App. 17/322,184, 2022 | | 2022 |
| Rateless Sum-Recovery Codes For Distributed Non-Linear Computations A Mallick, G Joshi 2022 IEEE Information Theory Workshop (ITW), 160-165, 2022 | | 2022 |
| Probabilistic Methods for Mitigating Uncertainties in Large-Scale Computing and Machine Learning A Mallick Carnegie Mellon University, 2022 | | 2022 |
| Probabilistic Neighbourhood Component Analysis: Sample Efficient Uncertainty Estimation in Deep Learning (preprint) A Mallick, C Dwivedi, B Kailkhura, G Joshi, TYJ Han | | 2020 |
| Bandlimited Field Reconstruction from Samples Obtained at Unknown Random Locations on a Grid A Mallick, A Kumar arXiv preprint arXiv:1611.10211, 2016 | | 2016 |
| Estimation of Spatial Fields from Samples obtained at Unknown Random Locations A Mallick, A Kumar | | |
| Permuation Models meet Dawid-Skene: A Generalised Model for Crowdsourcing A Mallick | | |
Gauri JoshiCarnegie Mellon UniversityVerified email at andrew.cmu.edu
