Rateless Sum-Recovery Codes for Distributed Non-Linear Computations
A.Mallick, G.Joshi
Information Theory Workshop (ITW), 2020

Matchmaker: Data Drift Mitigation in Machine Learning for Large-Scale Systems
A.Mallick, K.Hsieh, B.Arzani, G.Joshi
5^th Conference on Machine Learning and Systems (MLSys) 2022

Leveraging Spatial and Temporal Correlations in Sparsified Mean Estimation
D.Jhunjunwala, A.Mallick, A.Gadhikar, S.Kadhe, G.Joshi
35^th Conference on Neural Information Processing Systems (NeurIPS) 2021

Rateless Codes for Distributed Non-Linear Computing
A.Mallick, S.Smith, G.Joshi
International Symposium on Topics in Coding (ISTC), 2021

Deep Kernels with Probabilistic Embeddings for Small-Data Learning
A.Mallick, C.Dwivedi, B.Kailkhura, G.Joshi, T. Yong-Jin Han
37^th Conference on Uncertainty in Artificial Intelligence (UAI) 2021 (Oral Presentation)

Rateless Codes for Near-Perfect Load Balancing in Distributed Matrix-Vector Multiplication
A.Mallick, M.Chaudhari, U.Sheth, G.Palanikumar, G.Joshi
ACM SIGMETRICS 2020 (Best Paper Award)
Selected for publication in Communications of the ACM, Research Highlights

Probabilistic Neighbourhood Component Analysis: Sample Efficient Uncertainty Estimation in Deep Learning
A.Mallick, C.Dwivedi, B.Kailkhura, G.Joshi, T. Yong-Jin Han
ICML Workshop on Uncertainty and Robustness in Deep Learning (UDL), 2020
Featured in Andrew Ng’s weekly digest on deep learning research highlights

Rateless Codes for Distributed Computations with Sparse Compressed Matrices
A.Mallick, G.Joshi
International Symposium on Information Theory (ISIT), 2019

Fast and Efficient Distributed Matrix-Vector Multiplication Using Rateless Fountain Codes
A.Mallick, M.Chaudhari, G.Joshi
International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019

Bandlimited Field Reconstruction from Samples Obtained on a Discrete Grid with Unknown Random Locations
A.Mallick, A.Kumar
International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016