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researcher

A. Tiwari

25 papers hereh-index 415.8k citations168 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author2
  • first author2
  • middle author9
  • last author12

Across the 25 of 25 papers where every author was matched, so the position is known.

fields
  • cs.LO4
  • cs.MA4
  • eess.SY4
  • cs.LG3
  • cs.PL3
  • cs.AI2
same name
  • A. Tiwari — 39 papers, h 23
  • A. Tiwari — 12 papers, h 23
  • A. Tiwari — 9 papers
  • A. Tiwari — 7 papers, h 14
  • A. Tiwari — 7 papers, h 1
  • A. Tiwari — 7 papers

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20102023
most citedOutput Range Analysis for Deep Neural Networks

75 citations · 218 across the 23 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

cs.PL2022

Overwatch: Learning Patterns in Code Edit Sequences

Yuhao Zhang, Yasharth Bajpai, Priyanshu Gupta +8

Integrated Development Environments (IDEs) provide tool support to automate many source code editing tasks. Traditionally, IDEs use only the spatial context, i.e., the location whe…

cs.SE2022★ 5 cited

Neurosymbolic Repair for Low-Code Formula Languages

Rohan Bavishi, Harshit Joshi, José Pablo Cambronero Sánchez +5

Most users of low-code platforms, such as Excel and PowerApps, write programs in domain-specific formula languages to carry out nontrivial tasks. Often users can write most of the…

cs.MA2022★ 4 cited

Multi-Agent Spatial Predictive Control with Application to Drone Flocking (Extended Version)

Andreas Brandstätter, Scott A. Smolka, Scott D. Stoller +2

We introduce the novel concept of Spatial Predictive Control (SPC) to solve the following problem: given a collection of agents (e.g., drones) with positional low-level controllers…

cs.LG2022★ 66 cited

Synchromesh: Reliable code generation from pre-trained language models

Gabriel Poesia, Oleksandr Polozov, Vu Le +4

Large pre-trained language models have been used to generate code,providing a flexible interface for synthesizing programs from natural language specifications. However, they often…

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