4 papers
ONG: Orthogonal Natural Gradient Descent
Yajat Yadav, Patrick Mendoza, Jathin Korrapati
Orthogonal Gradient Descent (OGD) has emerged as a powerful method for continual learning. However, its Euclidean projections do not leverage the underlying information-geometric s…
VROOM - Visual Reconstruction over Onboard Multiview
Yajat Yadav, Varun Bharadwaj, Jathin Korrapati +1
We introduce VROOM, a system for reconstructing 3D models of Formula 1 circuits using only onboard camera footage from racecars. Leveraging video data from the 2023 Monaco Grand Pr…
Can Transformers Break Encryption Schemes via In-Context Learning?
Jathin Korrapati, Patrick Mendoza, Aditya Tomar +1
In-context learning (ICL) has emerged as a powerful capability of transformer-based language models, enabling them to perform tasks by conditioning on a small number of examples pr…
Discrete vs. Continuous Trade-offs for Generative Models
Jathin Korrapati, Tanish Baranwal, Rahul Shah
This work explores the theoretical and practical foundations of denoising diffusion probabilistic models (DDPMs) and score-based generative models, which leverage stochastic proces…