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Ayan Acharya

4 papers hereh-index 344 citations7 works total

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

author position
  • middle author3
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CE1
  • cs.CV1
  • cs.LG1
  • stat.ML1

identity via Semantic Scholar / OpenAlex

activity
20232025
most citedQuantEase: Optimization-based Quantization for Language Models

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CE2025

Transaction Categorization with Relational Deep Learning in QuickBooks

Kaiwen Dong, Padmaja Jonnalagedda, Xiang Gao +5

Automatic transaction categorization is crucial for enhancing the customer experience in QuickBooks by providing accurate accounting and bookkeeping. The distinct challenges in thi…

cs.CV2024

Visual Analysis of Prediction Uncertainty in Neural Networks for Deep Image Synthesis

Soumya Dutta, Faheem Nizar, Ahmad Amaan +1

Ubiquitous applications of Deep neural networks (DNNs) in different artificial intelligence systems have led to their adoption in solving challenging visualization problems in rece…

cs.LG2024

A Precise Characterization of SGD Stability Using Loss Surface Geometry

Gregory Dexter, Borja Ocejo, Sathiya Keerthi +3

Stochastic Gradient Descent (SGD) stands as a cornerstone optimization algorithm with proven real-world empirical successes but relatively limited theoretical understanding. Recent…

stat.ML2023★ 1 cited

QuantEase: Optimization-based Quantization for Language Models

Kayhan Behdin, Ayan Acharya, Aman Gupta +4

With the rising popularity of Large Language Models (LLMs), there has been an increasing interest in compression techniques that enable their efficient deployment. This study focus…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.