Aditya Shrotri Aditya A. Shrotri
Postdoctoral Research Associate
Department of Computer Science
Rice University

3060 Duncan Hall
6100 Main St., MS 132,
Houston TX 77005-1892

E-mail: Aditya (d.o.t) Aniruddh (d.o.t.) Shrotri (a.t) rice (d.o.t) edu
Alternate 1: as128 (a.t) rice (d.o.t) edu
Alternate 2: aditya (d.o.t) a (d.o.t.) shrotri (a.t) gmail (d.o.t) com
Resume     Code     Scholar     DBLP

About Me

I am a Postdoctoral Researcher (and previously completed my PhD) at Rice University in the department of Computer Science supervised by Prof. Moshe Y. Vardi. My work on the theory, practice and applications of Constrained Counting and Sampling lies at the intersection of Artifical Intelligence and Formal Methods with applications in Explainable Machine Learning [6,3], Formal Methods and Verification [7,5], Constraint Solving and Probabilistic Reasoning [4,2] and Theory [1]. I am proficient at both theoretical reasoning and low-level coding to achieve tangible results.

I am on the job market and am looking for Researcher and/or Software Developer roles.

Invited Talks

  1. Domain-Specific Approaches for Constrained Counting Institute for Software
    • Chinese Academy of Sciences Beijing, August 2019
    • Tata Research Development and Design Center (TRDDC), January 2019
  2. DNF-Counting: The Search for Holier Grails
    • National University of Singapore, September 2018
  3. On hashing-based approaches to approximate DNF-Counting
    • Tata Research Development and Design Center (TRDDC), January 2017

Service

Program Committee Member: AAAI 2023, IJCAI 2023.

Reviewer: CP 2021, ISCAAS 2019

Honors and Awards


Past

Before joining Rice, I worked for a year with Prof. S. Akshay on Model Checking of Markov chains as a Research Assistant in IIT Bombay, India. I did my Master's in Web and Data Mining from IIT Bombay advised by Prof. Soumen Chakrabarti.

Publications

Author names are sorted alphabetically except in *

  1. Domain-Driven Approaches for Constrained Counting and Sampling
    Aditya A. Shrotri
    PhD Thesis (May 2022),
    [PDF]

  2. DPSampler: Exact Weighted Sampling Using Dynamic Programming
    Jeffrey M. Dudek, Aditya A. Shrotri, Moshe Y. Vardi
    International Joint Conference on Artificial Intelligence (IJCAI '22),
    [PDF] [Code]

  3. Constraint-Driven Explanations for Black Box ML Models*
    Aditya A. Shrotri, N. Narodytska, K.S. Meel, A. Ignatiev, J. Marques-Silva, M.Y. Vardi
    AAAI Conference on Artificial Intelligence (AAAI '22),
    (Work done as part of internship at VMware Research Group)
    [PDF] [Code]

  4. On Uniformly Sampling Traces of a Transition System
    Supratik Chakraborty, Aditya A. Shrotri, Moshe Y. Vardi
    International Conference on Computer Aided Design (ICCAD '20),
    [PDF] [Slides] [Code]

  5. On Symbolic Approaches for Computing the Matrix Permanent
    Supratik Chakraborty, Aditya A. Shrotri, Moshe Y. Vardi
    International Conference on Principles and Practice of Constraint Programming (CP '19),
    Stamford, USA Oct 2019
    [PDF] [BibTex] [Slides] [Code]

  6. Assessing Heuristic Machine Learning Explanations with Model Counting*
    N. Narodytska, Aditya A. Shrotri, K.S. Meel, A. Ignatiev, J. Marques-Silva
    International Conference on Theory and Applications of Satisfiability Testing (SAT '19),
    Lisbon, Portugal July 2019
    [PDF] [BibTex]

  7. Not All FPRASs are Equal: Demystifying FPRASs for DNF-Counting
    Kuldeep S. Meel, Aditya A. Shrotri, Moshe Y. Vardi
    Constraints (2018) 1-23 (Invited Journal Publication from CP '18)
    (Invited to Best Paper at Sister Conference Track at IJCAI '19)
    [PDF] [BibTex] [Code] [Slides]

  8. On Hashing-Based Approaches to Approximate DNF-Counting
    Kuldeep S. Meel, Aditya A. Shrotri, Moshe Y. Vardi
    37th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science.
    (FST & TCS '17)
    , Kanpur, India December 2017
    [PDF] [BibTex] [Slides]

Last Updated: June 4, 2023