4 papers
Statistical Guarantees in Synthetic Data through Conformal Adversarial Generation
Rahul Vishwakarma, Shrey Dharmendra Modi, Vishwanath Seshagiri
The generation of high-quality synthetic data presents significant challenges in machine learning research, particularly regarding statistical fidelity and uncertainty quantificati…
Deep Identification of Propagation Trees
Zeeshan Memon, Chen Ling, Ruochen Kong +3
Understanding propagation structures in graph diffusion processes, such as epidemic spread or misinformation diffusion, is a fundamental yet challenging problem. While existing met…
Chatting with Logs: An exploratory study on Finetuning LLMs for LogQL
Vishwanath Seshagiri, Siddharth Balyan, Vaastav Anand +5
Logging is a critical function in modern distributed applications, but the lack of standardization in log query languages and formats creates significant challenges. Developers cur…
TweetIT- Analyzing Topics for Twitter Users to garner Maximum Attention
Dhanasekar Sundararaman, Priya Arora, Vishwanath Seshagiri
Twitter, a microblogging service, is todays most popular platform for communication in the form of short text messages, called Tweets. Users use Twitter to publish their content ei…