papers

Publications (52)

cs.NI2016

New Generation Value Networks for Content Delivery

Stefano Iellamo, Guenter Klas, Kevin Smith

In this paper we paint a broad picture of the Internet content delivery market, by taking into consideration both economical and technical challenges that might drive the interacti…

cs.AI2022

Physion: Evaluating Physical Prediction from Vision in Humans and Machines

Daniel M. Bear, Elias Wang, Damian Mrowca +12

While current vision algorithms excel at many challenging tasks, it is unclear how well they understand the physical dynamics of real-world environments. Here we introduce Physion,…

cs.LG2022

What Makes Transfer Learning Work For Medical Images: Feature Reuse & Other Factors

Christos Matsoukas, Johan Fredin Haslum, Moein Sorkhei +2

Transfer learning is a standard technique to transfer knowledge from one domain to another. For applications in medical imaging, transfer from ImageNet has become the de-facto appr…

cs.CV2025

Efficient Self-Supervised Adaptation for Medical Image Analysis

Moein Sorkhei, Emir Konuk, Jingyu Guo +3

Self-supervised adaptation (SSA) improves foundation model transfer to medical domains but is computationally prohibitive. Although parameter efficient fine-tuning methods such as…

cs.LG2026

The Cost of Reasoning: Chain-of-Thought Induces Overconfidence in Vision-Language Models

Robert Welch, Emir Konuk, Kevin Smith

Vision-language models (VLMs) are increasingly deployed in high-stakes settings where reliable uncertainty quantification (UQ) is as important as predictive accuracy. Extended reas…

cs.PF2026

SPEC CPU: The Next Generation

Mahesh Madhav, Allen Lee, Andres Mejia +33

The march toward developing relevant and robust CPU benchmarks continues with the introduction of SPEC CPU 2026, the next generation suite for measuring processor performance. This…