One important property of DIstribution Correction Estimation (DICE) methods is that the
solution is the optimal stationary distribution ratio between the optimized and data collection …

In contexts where data samples represent a physically stable state, it is often assumed that
the data points represent the local minima of an energy landscape. In control theory, it is well …

Marine radar is widely employed in ocean monitoring systems. However, the presence of
sea clutter and noise significantly hampers the performance of the marine radar. In this …

Anticancer peptides (ACPs) are a type of protein molecule that has anti-cancer activity and
can inhibit cancer cell growth and survival. Traditional classification approaches for ACPs …

This paper introduces Idempotent Test-Time Training (IT $^ 3$), a novel approach to
addressing the challenge of distribution shift. While supervised-learning methods assume …

Learning fine-scale details of a coastal ocean simulation from a coarse representation is a
challenging task. For real-world applications, high-resolution simulations are necessary to …

We introduce a novel generative model, the Discrete Distribution Networks (DDN), that
approximates data distribution using hierarchical discrete distributions. We posit that since …

We propose Conditional Idempotent Generative Networks (CIGN), a novel approach that
expands upon Idempotent Generative Networks (IGN) to enable conditional generation …

Passive Non-Line-of-Sight (NLOS) imaging requires to reconstruct objects which cannot be
seen in line without using external controllable light sources. It can be widely applied in …

In recent years, generative large models have achieved remarkable progress, attracting
widespread attention. With the rapid development of applications based on these models …