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ORCIDShubham Ugare
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2020 – today
- 2024
[c6]Nandeeka Nayak
, Toluwanimi O. Odemuyiwa, Shubham Ugare, Christopher W. Fletcher, Michael Pellauer, Joel S. Emer:
TeAAL: A Declarative Framework for Modeling Sparse Tensor Accelerators (Abstract). HOPC@SPAA 2024- [c5]Tarun Suresh, Shubham Ugare, Gagandeep Singh, Sasa Misailovic:
Is Watermarking LLM-Generated Code Robust? Tiny Papers @ ICLR 2024 - [c4]Shubham Ugare, Tarun Suresh, Debangshu Banerjee, Gagandeep Singh, Sasa Misailovic:
Incremental Randomized Smoothing Certification. ICLR 2024 - [i7]Shubham Ugare, Tarun Suresh, Hangoo Kang, Sasa Misailovic, Gagandeep Singh:
Improving LLM Code Generation with Grammar Augmentation. CoRR abs/2403.01632 (2024) - [i6]Tarun Suresh, Shubham Ugare, Gagandeep Singh, Sasa Misailovic:
Is Watermarking LLM-Generated Code Robust? CoRR abs/2403.17983 (2024) - 2023
- [j4]Shubham Ugare, Debangshu Banerjee, Sasa Misailovic, Gagandeep Singh:
Incremental Verification of Neural Networks. Proc. ACM Program. Lang. 7(PLDI): 1920-1945 (2023) - [c3]Nandeeka Nayak, Toluwanimi O. Odemuyiwa, Shubham Ugare, Christopher W. Fletcher, Michael Pellauer, Joel S. Emer:
TeAAL: A Declarative Framework for Modeling Sparse Tensor Accelerators. MICRO 2023: 1255-1270 - [i5]Shubham Ugare, Debangshu Banerjee, Sasa Misailovic, Gagandeep Singh:
Incremental Verification of Neural Networks. CoRR abs/2304.01874 (2023) - [i4]Nandeeka Nayak, Toluwanimi O. Odemuyiwa, Shubham Ugare, Christopher W. Fletcher, Michael Pellauer, Joel S. Emer:
TeAAL: A Declarative Framework for Modeling Sparse Tensor Accelerators. CoRR abs/2304.07931 (2023) - [i3]Shubham Ugare, Tarun Suresh, Debangshu Banerjee, Gagandeep Singh, Sasa Misailovic:
Incremental Randomized Smoothing Certification. CoRR abs/2305.19521 (2023) - 2022
- [j3]Shubham Ugare, Gagandeep Singh, Sasa Misailovic:
Proof transfer for fast certification of multiple approximate neural networks. Proc. ACM Program. Lang. 6(OOPSLA1): 1-29 (2022) - [j2]Jacob Laurel, Rem Yang, Shubham Ugare, Robert Nagel, Gagandeep Singh, Sasa Misailovic:
A general construction for abstract interpretation of higher-order automatic differentiation. Proc. ACM Program. Lang. 6(OOPSLA2): 1007-1035 (2022) - 2021
- [j1]Ran Ben Basat, Seungbum Jo, Srinivasa Rao Satti, Shubham Ugare:
Approximate query processing over static sets and sliding windows. Theor. Comput. Sci. 885: 1-14 (2021) - [c2]Jacob Laurel, Rem Yang, Atharva Sehgal, Shubham Ugare, Sasa Misailovic:
Statheros: Compiler for Efficient Low-Precision Probabilistic Programming. DAC 2021: 787-792 - 2020
- [i2]Javier Alvarez-Valle, Pratik Bhatu, Nishanth Chandran, Divya Gupta, Aditya V. Nori, Aseem Rastogi, Mayank Rathee, Rahul Sharma, Shubham Ugare:
Secure Medical Image Analysis with CrypTFlow. CoRR abs/2012.05064 (2020)
2010 – 2019
- 2018
- [c1]Ran Ben-Basat, Seungbum Jo, Srinivasa Rao Satti, Shubham Ugare:
Approximate Query Processing over Static Sets and Sliding Windows. ISAAC 2018: 54:1-54:12 - [i1]Ran Ben-Basat, Seungbum Jo, Srinivasa Rao Satti, Shubham Ugare:
Approximate Query Processing over Static Sets and Sliding Windows. CoRR abs/1809.05419 (2018)
Coauthor Index
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last updated on 2024-08-08 19:19 CEST by the dblp team
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