#robustness
35 papers match
CoLAS: Multimodal Corroboration of Latent Asset Signals for Financial Trading
Yanzheng Jin, Pengyang Shao, Xiaohao Liu +3
CoLAS is a multimodal learning framework that extracts trading signals by identifying and reinforcing shared information across price data, news, and sentiment, improving robustnes…
The Noise Premium in Adversarial Training for Kernel Regression
Yiling Xie, Xiaoming Huo
The paper analyzes adversarial training within reproducing kernel Hilbert spaces, deriving generalization bounds and showing how noise affects the trade‑off between robustness and…
Interval Decompositions for Multipersistence Modules over Finite Posets and Robustness of Sheaf Data on Simplicial Complexes
Pablo Hernández-GarcÃa, Daniel Hernández Serrano, DarÃo Sánchez Gómez
The paper establishes conditions under which multipersistence modules indexed by finite posets can be broken down into direct sums of interval modules, and applies these results to…
A subspace approach to data-driven predictive control for linear parameter-varying systems
Federico Porcari, Chris Verhoek, Valentina Breschi +2
The paper proposes a subspace-based data‑driven predictive control scheme for linear parameter‑varying (LPV) systems that avoids explicit model identification and offers reduced co…
Selecting Open-Weight Language Models for Zero-Shot Intent Classification: A Systematic Evaluation of 41 Models
Parishruthi Ganesh, Gerry Dozier, Cheryl Seals
The paper systematically evaluates 41 open-weight language models for zero‑shot intent classification across multiple datasets, analyzing accuracy, calibration, robustness, and dep…
Beyond the Bidirectional Promise: Re-evaluating the Robustness of Diffusion Language Models
Saurabh Yadav, Badri Narayana Patro, Vijay Srinivas Agneeswaran
The paper evaluates how diffusion-based language models handle noisy inputs and adversarial attacks compared to traditional autoregressive models, finding that while they resist ce…