collaborators

5 papers

cs.CL2026

Shieldstral

Antonia Calvi, Avinash Sooriyarachchi, Giada Pistilli +274

We introduce Shieldstral, a 3B-parameter policy-adaptive multimodal safety classifier that matches or outperforms models nearly 7 its size on text safety benchmarks and set…

cs.LG2026

Multi-scale Autoregressive Models are Laplacian, Discrete, and Latent Diffusion Models in Disguise

Steve Hong, Samuel Belkadi

We reinterpret Visual Autoregressive (VAR) models as iterative refinement models to identify which design choices drive their quality-efficiency trade-off. Instead of treating VAR…

cs.LG2026

Better Hessians Matter: Studying the Impact of Curvature Approximations in Influence Functions

Steve Hong, Runa Eschenhagen, Bruno Mlodozeniec +1

Influence functions offer a principled way to trace model predictions back to training data, but their use in deep learning is hampered by the need to invert a large, ill-condition…

cs.RO2025

GPU-Accelerated Barrier-Rate Guided MPPI Control for Tractor-Trailer Systems

Keyvan Majd, Hardik Parwana, Bardh Hoxha +3

Articulated vehicles such as tractor-trailers, yard trucks, and similar platforms must often reverse and maneuver in cluttered spaces where pedestrians are present. We present how…

cs.LG2025

Diffusion-Free Graph Generation with Next-Scale Prediction

Samuel Belkadi, Steve Hong, Marian Chen +3

Autoregressive models excel in efficiency and plug directly into the transformer ecosystem, delivering robust generalization, predictable scalability, and seamless workflows such a…