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Shubham Ugare
Observed name:
Ugare, Shubham
Institutions:
Bloomberg (United States),
University of Illinois Urbana-Champaign,
Meta (United States)
Observed institutions:
Bloomberg (United States),
Indian Institute of Technology Guwahati,
University of Illinois Urbana-Champaign,
Meta (United States)
ORCID:
0000-0002-9088-887X
Observed ORCID:
0000-0002-9088-887X
OpenAlex ID:
A5007030439
SynCode: LLM Generation with Grammar Augmentation
2024
·
Ugare, Shubham
, Suresh, Tarun
, et al.
·
arXiv (Cornell University)
·
124
PDF
Enforcing Temporal Constraints for LLM Agents
2025
·
Kamath, Adharsh
, Zhang, Sishen
, et al.
·
arXiv (Cornell University)
·
44
PDF
Incremental Verification of Neural Networks
2023
·
Shubham Ugare
, Debangshu Banerjee
, et al.
·
Proceedings of the ACM on Programming Languages
·
33
PDF
CRANE: Reasoning with constrained LLM generation
2025
·
Banerjee, Debangshu
, Suresh, Tarun
, et al.
·
arXiv (Cornell University)
·
32
PDF
TeAAL: A Declarative Framework for Modeling Sparse Tensor Accelerators
2023
·
Nandeeka Nayak
, Toluwanimi O. Odemuyiwa
, et al.
·
IEEE/ACM International Symposium on Microarchitecture (MICRO)
·
31
PDF
IterGen: Iterative Semantic-aware Structured LLM Generation with Backtracking
2024
·
Ugare, Shubham
, Gumaste, Rohan
, et al.
·
arXiv (Cornell University)
·
19
PDF
Proof transfer for fast certification of multiple approximate neural networks
2022
·
Shubham Ugare
, Gagandeep Singh
, et al.
·
Proceedings of the ACM on Programming Languages
·
19
PDF
DINGO: Constrained Inference for Diffusion LLMs
2025
·
Tarun Suresh
, Debangshu Banerjee
, et al.
·
neural information processing systems
·
15
PDF
A general construction for abstract interpretation of higher-order automatic differentiation
2022
·
Jacob Laurel
, Rem Yang
, et al.
·
Proceedings of the ACM on Programming Languages
·
12
PDF
Is The Watermarking Of LLM-Generated Code Robust?
2024
·
Suresh, Tarun
, Ugare, Shubham
, et al.
·
arXiv (Cornell University)
·
11
PDF
REAP: Automatic Curation of Coding Agent Benchmarks from Interactive Production Usage
2026
·
Smriti Jha
, Matteo Paltenghi
, et al.
·
IEEE/ACM International Conference on Automated Software Engineering (ASE)
·
10
PDF
Statheros: Compiler for Efficient Low-Precision Probabilistic Programming
2021
·
Jacob Laurel
, Rem Yang
, et al.
·
ACM/IEEE Design Automation Conference (DAC)
·
10
Secure Medical Image Analysis with CrypTFlow
2020
·
Alvarez-Valle, Javier
, Bhatu, Pratik
, et al.
·
arXiv (Cornell University)
·
10
PDF
Safety and Trust in Artificial Intelligence with Abstract Interpretation
2025
·
Gagandeep Singh
, Jacob Laurel
, et al.
·
Foundations and Trends® in Programming Languages
·
9
Agentic Code Reasoning
2026
·
Ugare, Shubham
, Chandra, Satish
·
arXiv (Cornell University)
·
6
PDF
ARQ: A Mixed-Precision Quantization Framework for Accurate and Certifiably Robust DNNs
2026
·
Yuchen Yang
, Yifan Zhao
, et al.
·
Proceedings of the ACM on software engineering.
·
4
RefineStat: Efficient Exploration for Probabilistic Program Synthesis
2025
·
Kanda, Madhav
, Ugare, Shubham
, et al.
·
arXiv (Cornell University)
·
4
PDF
Incremental Randomized Smoothing Certification
2023
·
Ugare, Shubham
, Suresh, Tarun
, et al.
·
arXiv (Cornell University)
·
4
PDF
Fun2spec: Code Contract Synthesis At Scale
2026
·
Shubham Ugare
, Tarun Suresh
, et al.
·
ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE)
·
3
Approximate query processing over static sets and sliding windows
2021
·
Ran Ben Basat
, Seungbum Jo
, et al.
·
Theoretical Computer Science
·
3
UTF-8 Plumbing: Byte-level Tokenizers Unavoidably Enable LLMs to Generate Ill-formed UTF-8
2025
·
Firestone, Preston
, Ugare, Shubham
, et al.
·
arXiv (Cornell University)
·
1
PDF
Reproduction Package for the article: A General Construction for Abstract Interpretation of Higher-Order Automatic Differentiation
2022
·
Jacob Laurel
, Rem Yang
, et al.
·
Artifact Digital Object Group
·
1
Approximate Query Processing over Static Sets and Sliding Windows
2018
·
Ben Basat, Ran
, Jo, Seungbum
, et al.
·
arXiv (Cornell University)
·
1
PDF
Uncovering the Limits of Proof Sharing for Neural Networks
2026
·
Kanak Das
, Shubham Ugare
, et al.
·
Lecture notes in computer science
PDF
Artifact for "Uncovering the Limits of Proof Sharing for Neural Networks"
2026
·
Das, Kanak
, Ugare, Shubham
, et al.
·
Zenodo (CERN European Organization for Nuclear Research)
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Works count:
27
Citation count:
406
H-index:
10
I10-index:
13
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