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Aditya V. Thakur
Associate Professor, Computer Science, University of California, Davis
Joined
July 2019
Names
Aditya V. Thakur
(Preferred)
,
Aditya Thakur
Emails
****@ucdavis.edu
(Confirmed)
,
****@gmail.com
(Confirmed)
Personal Links
Homepage
Google Scholar
DBLP
ORCID
Career & Education History
Associate Professor
Computer Science,
University of California, Davis
(ucdavis.edu)
2022
–
Present
Assistant Professor
Computer Science,
University of California, Davis
(ucdavis.edu)
2017
–
2022
Advisors, Relations & Conflicts
PhD Advisor
Thomas Reps
Present
Postdoc Advisor
Ras Bodik
Present
Expertise
safety
Present
verification
Present
formal methods
Present
certification
Present
Publications
Provable Gradient Editing of Deep Neural Networks
Zhe Tao
,
Aditya V. Thakur
NeurIPS 2025 spotlight
Readers:
Everyone
Memory-efficient fixpoint computation
Sung Kook Kim
,
Arnaud J. Venet
,
Aditya V. Thakur
Formal Methods Syst. Des. 2025
Readers:
Everyone
Provable Editing of Deep Neural Networks using Parametric Linear Relaxation
Zhe Tao
,
Aditya Thakur
NeurIPS 2024 poster
Readers:
Everyone
Towards Verifying Exact Conditions of Density Functional Theory Approximations
Sameerah Helal
,
Zhe Tao
,
Cindy Rubio-González
,
François Gygi
,
Aditya V. Thakur
CoRR 2024
Readers:
Everyone
Provable Repair of Vision Transformers
Stephanie Nawas
,
Zhe Tao
,
Aditya V. Thakur
SAIV 2024
Readers:
Everyone
Towards Verifying Exact Conditions for Implementations of Density Functional Approximations
Sameerah Helal
,
Zhe Tao
,
Cindy Rubio-González
,
François Gygi
,
Aditya V. Thakur
SC Workshops 2024
Readers:
Everyone
Interleaving Static Analysis and LLM Prompting
Patrick J. Chapman
,
Cindy Rubio-González
,
Aditya V. Thakur
SOAP@PLDI 2024
Readers:
Everyone
Provable Editing of Deep Neural Networks using Parametric Linear Relaxation
Zhe Tao
,
Aditya V. Thakur
NeurIPS 2024
Readers:
Everyone
Provable Repair of Vision Transformers: Last Layer is All You Need
Stephanie Nawas
,
Zhe Tao
,
Aditya Thakur
Submitted to ICLR 2024
Readers:
Everyone
SyReNN: A tool for analyzing deep neural networks
Matthew Sotoudeh
,
Zhe Tao
,
Aditya V. Thakur
Int. J. Softw. Tools Technol. Transf. 2023
Readers:
Everyone
View all 52 publications
Co-Authors
Aditya V. Nori
Akash Lal
Alex Sim
Amanda Burton
Arnaud J. Venet
Aseem Rastogi
Ben Liblit
Cindy Rubio-González
Daniel DeFreez
Daniel Kroening
Dinakar Dhurjati
Dipak Ghosal
Evan Driscoll
François Gygi
Gaurav R. Ghosal
Gogul Balakrishnan
Guoliang Jin
Haaken Martinson Baldwin
Jacqueline Mitchell
Jason Breck
Junghee Lim
Kapil Vaswani
Kesheng Wu
Matt Elder
Matthew Sotoudeh
View all 47 co-authors