3 papers
cs.LG2026
Trust-Region Noise Search for Black-Box Alignment of Diffusion and Flow Models
Niklas Schweiger, Daniel Cremers, Karnik Ram
Optimizing the noise samples of diffusion and flow models is an increasingly popular approach to align these models to target rewards at inference time. However, we observe that th…
cond-mat.soft2025
Learned Free-Energy Functionals from Pair-Correlation Matching for Dynamical Density Functional Theory
Karnik Ram, Jacobus Dijkman, René van Roij +4
Classical density functional theory (cDFT) and dynamical density functional theory (DDFT) are modern statistical mechanical theories for modeling many-body colloidal systems at the…
cs.CV2024
From Variance to Veracity: Unbundling and Mitigating Gradient Variance in Differentiable Bundle Adjustment Layers
Swaminathan Gurumurthy, Karnik Ram, Bingqing Chen +2
Various pose estimation and tracking problems in robotics can be decomposed into a correspondence estimation problem (often computed using a deep network) followed by a weighted le…