39 citations · 39 across the 5 of their papers we have counts for
7 papers
A Vision for a Logic-Based Workflow Formulation Framework and an Agentic Execution Pipeline for Pattern Engineering
Alankrit Moses, Raghav Mittal, Gautam Das +1
Organizations increasingly depend on insights drawn from data to inform consequential decisions. Many concern structural behaviors, which we call patterns. Producing them may requi…
HNSW with Accuracy Guarantees Using Graph Spanners
Minghao Li, Raghav Mittal, Sanjivni Rana +3
Hierarchical Navigable Small World (HNSW) graphs serve as the industry standard due to their logarithmic complexity and strong empirical performance. However, HNSW relies on greedy…
Random-Access Ranked Retrieval and Similarity Search
Mohsen Dehghankar, Abolfazl Asudeh, Raghav Mittal +2
We extend Random Access, a fundamental operation that enables efficient search and exploration algorithms, to the modern interactive data systems based on Ranked Retrieval and Simi…
FairDeFace: Evaluating the Fairness and Adversarial Robustness of Face Obfuscation Methods
Seyyed Mohammad Sadegh Moosavi Khorzooghi, Poojitha Thota, Mohit Singhal +3
The lack of a common platform and benchmark datasets for evaluating face obfuscation methods has been a challenge, with every method being tested using arbitrary experiments, datas…
AXOLOTL: Fairness through Assisted Self-Debiasing of Large Language Model Outputs
Sana Ebrahimi, Kaiwen Chen, Abolfazl Asudeh +2
Pre-trained Large Language Models (LLMs) have significantly advanced natural language processing capabilities but are susceptible to biases present in their training data, leading…
Efficient Strongly Polynomial Algorithms for Quantile Regression
Suraj Shetiya, Shohedul Hasan, Abolfazl Asudeh +1
Linear Regression is a seminal technique in statistics and machine learning, where the objective is to build linear predictive models between a response (i.e., dependent) variable…
Malware in the Future? Forecasting of Analyst Detection of Cyber Events
Jonathan Z. Bakdash, Steve Hutchinson, Erin G. Zaroukian +5
There have been extensive efforts in government, academia, and industry to anticipate, forecast, and mitigate cyber attacks. A common approach is time-series forecasting of cyber a…