Probabilistic programming with programmable inference. - Vikash K. Mansinghka; Ulrich Schaechtle; Shivam Handa; Alexey Radul; Yutian Chen; Martin C. Rinard (PLDI, 2018)

Compositional Inference Metaprogramming with Convergence Guarantees. - Shivam Handa; Vikash Mansinghka 001; Martin C. Rinard (CoRR, 2019)

Inductive program synthesis over noisy data. - Shivam Handa; Martin C. Rinard (ESEC/SIGSOFT FSE, 2020)

An Order-aware Dataflow Model for Extracting Shell Script Parallelism. - Shivam Handa; Konstantinos Kallas; Nikos Vasilakis; Martin C. Rinard (CoRR, 2020)

Supply-Chain Vulnerability Elimination via Active Learning and Regeneration. - Nikos Vasilakis; Achilles Benetopoulos; Shivam Handa; Alizee Schoen; Jiasi Shen 001; Martin C. Rinard (CCS, 2021)

Program Synthesis Over Noisy Data with Guarantees. - Shivam Handa; Martin C. Rinard (CoRR, 2021)

Inductive Program Synthesis over Noisy Datasets using Abstraction Refinement Based Optimization. - Shivam Handa; Martin C. Rinard (CoRR, 2021)

An order-aware dataflow model for parallel Unix pipelines. - Shivam Handa; Konstantinos Kallas; Nikos Vasilakis; Martin C. Rinard (Proc. ACM Program. Lang., 2021)

Car Price Prediction. - Sanchith Venkatesan; Shivam Handa; Baskar M (ICIMMI, 2022)

Program Synthesis over Noisy Data - Shivam Handa (2022)

Dynamic Idle Resource Leasing To Safely Oversubscribe Capacity At Meta. - Nishant Gupta; Iyswarya Narayanan; Shivam Handa; Sayak Chakraborti; Pankit Thapar; Baohua Shan; Ariel Rao; Yuanlai Liu; Pengyuan Wang; Yuqing Wu; Qingyi Gao; Chris Chao-Chun Cheng; et al. (SoCC, 2024)