Simulation plays a central role in scientific discovery. In many applications, the bottleneck is no longer running a simulator; it is choosing among large families of plausible simulators, each corres...
Language models must now generalize out of the box to novel environments and work inside inference-scaling search procedures, such as AlphaEvolve, that select rollouts with a variety of task-specific ...
High-stakes computerized adaptive tests (CATs) require a continuous supply of calibrated items, yet traditional item piloting is slow, expensive, and operationally hazardous. We introduce the S2A3 fra...
Long-rollout causal video diffusion has converged on a fixed-size sliding-window KV cache, with recent progress innovating within this layout by changing which tokens occupy the window or how their po...
Understanding the minimal assumptions necessary for generalization is the fundamental question in learning theory. Unfortunately, most results rely heavily on independence (or some proxy thereof) of t...
This paper introduces a comprehensive framework for complex-valued probability measures and explores their novel applications in information theory and statistical analysis. We define a complex probab...
Efficient exploration is a central problem in reinforcement learning and is often formalized as maximizing the entropy of the state-action occupancy measure. While unconstrained maximum-entropy explor...
Evaluating "neutral launches" (e.g., infrastructure upgrades) using traditional confidence interval overlap is flawed: it is dangerously permissive with scarce data and excessively restrictive with ab...
We develop a rational-inattention BLP (RI-BLP) model for demand estimation from aggregate market shares, allowing for endogenous prices and unobserved preference heterogeneity. We establish conditions...
Visual In-Context Learning (VICL) aims to complete vision tasks by imitating pixel demonstrations. Recent work pioneered prompt fusion that combines the advantages of various demonstrations, which sho...
Deep-sea hydrothermal vents are among the most extreme and geochemically dynamic environments on Earth, characterized by steep gradients in temperature and chemical concentration. Alvinocaridid shrimp...
Fabricating brightly fluorescent layers with nanometric thickness and digitally controlled lateral structuration remains a challenge for next-generation photonic devices, optical calibration standards...
This paper presents a bioinspired thermochromic actuator that mimics natural camouflage systems by switching between visible and stealth modes in response to temperature changes. Thus, the innovation ...
In this study, we report the complete mitochondrial genome of the deep-sea hydrothermal vent shrimp Mirocaris fortunata (Alvinocarididae) from shotgun sequencing data on an individual tail tissue. The...
Cellulose derived from ascidians (tunicates) is distinguished from plant-based counterparts by its marine origin, with high crystallinity, and complex hierarchical architecture. However, quantitative ...
Return models for risk-neutral financial valuation based on skew Brownian motions (SBMs) have been introduced about twenty years ago, and have recently enjoying growing popularity. Unfortunately, the ...
Distributionally robust optimization (DRO) minimizes worst-case risk under distributional uncertainty, but its decisions can be suboptimal in terms of their excess risk, or regret. We study this gap f...
The effectiveness of passive acoustic monitoring (PAM) for studying marine biodiversity highly relies on comprehensive libraries of species-specific sounds. While sound production is well-documented i...
Many of the oceans' top predatory fishes at low to mid latitudes face an uncertain future as their vulnerable larvae deal with higher environmental temperature and reduced productivity associated with...
The exploration of marine environments is crucial, yet the extreme conditions of the deep-sea, combined with the segregated signal processing in current sensor technologies, lead to bulky systems, hig...
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