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Shivam Handa
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2020 – today
- 2022
- [b1]Shivam Handa:
Program Synthesis over Noisy Data. MIT, USA, 2022 - [c4]Sanchith Venkatesan, Shivam Handa, Baskar M:
Car Price Prediction. ICIMMI 2022: 27:1-27:6 - 2021
- [j1]Shivam Handa, Konstantinos Kallas, Nikos Vasilakis, Martin C. Rinard:
An order-aware dataflow model for parallel Unix pipelines. Proc. ACM Program. Lang. 5(ICFP): 1-28 (2021) - [c3]Nikos Vasilakis, Achilles Benetopoulos, Shivam Handa, Alizee Schoen, Jiasi Shen, Martin C. Rinard:
Supply-Chain Vulnerability Elimination via Active Learning and Regeneration. CCS 2021: 1755-1770 - [i5]Shivam Handa, Martin C. Rinard:
Program Synthesis Over Noisy Data with Guarantees. CoRR abs/2103.05030 (2021) - [i4]Shivam Handa, Martin C. Rinard:
Inductive Program Synthesis over Noisy Datasets using Abstraction Refinement Based Optimization. CoRR abs/2104.13315 (2021) - 2020
- [c2]Shivam Handa, Martin C. Rinard:
Inductive program synthesis over noisy data. ESEC/SIGSOFT FSE 2020: 87-98 - [i3]Shivam Handa, Martin C. Rinard:
Inductive Program Synthesis Over Noisy Data. CoRR abs/2009.10272 (2020) - [i2]Shivam Handa, Konstantinos Kallas, Nikos Vasilakis, Martin C. Rinard:
An Order-aware Dataflow Model for Extracting Shell Script Parallelism. CoRR abs/2012.15422 (2020)
2010 – 2019
- 2019
- [i1]Shivam Handa, Vikash Mansinghka, Martin C. Rinard:
Compositional Inference Metaprogramming with Convergence Guarantees. CoRR abs/1907.05451 (2019) - 2018
- [c1]Vikash K. Mansinghka, Ulrich Schaechtle, Shivam Handa, Alexey Radul, Yutian Chen, Martin C. Rinard:
Probabilistic programming with programmable inference. PLDI 2018: 603-616
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