4 papers
A lift for input-convex neural network training
Ali Siahkoohi, Anirudh Thatipelli
Input-convex neural networks (ICNNs) are widely used for log-concave density estimation, convex-potential normalizing flows, optimal transport, and transport-map inversion for high…
Hypernetwork-based approach for grid-independent functional data clustering
Anirudh Thatipelli, Ali Siahkoohi
Functional data clustering is concerned with grouping functions that share similar structure, yet most existing methods implicitly operate on sampled grids, causing cluster assignm…
MIRA: Towards Mitigating Reward Hacking in Inference-Time Alignment of T2I Diffusion Models
Kevin Zhai, Utsav Singh, Anirudh Thatipelli +5
Diffusion models excel at generating images conditioned on text prompts, but the resulting images often do not satisfy user-specific criteria measured by scalar rewards such as Aes…
Egocentric and Exocentric Methods: A Short Survey
Anirudh Thatipelli, Shao-Yuan Lo, Amit K. Roy-Chowdhury
Egocentric vision captures the scene from the point of view of the camera wearer, while exocentric vision captures the overall scene context. Jointly modeling ego and exo views is…