collaborators

15 papers

cs.LG2026

See it to Place it: Evolving Macro Placements with Vision-Language Models

Ikechukwu Uchendu, Swati Goel, Karly Hou +5

We propose using Vision-Language Models (VLMs) for macro placement in chip floorplanning, a complex optimization task that has recently shown promising advancements through machine…

physics.plasm-ph2026

Applications of a novel model-based real-time observer for electron density profile control experiments in TCV

F. Pastore, O. Sauter, F. Felici +12

Real-time control of tokamak plasmas encompasses sustaining a high-performance stationary state, avoiding disruptions, and managing ramp-up and ramp-down phases. Real-time estimati…

cs.LG2026

EUGens: Efficient, Unified, and General Dense Layers

Sang Min Kim, Byeongchan Kim, Arijit Sehanobish +7

Efficient neural networks are essential for scaling machine learning models to real-time applications and resource-constrained environments. Fully-connected feedforward layers (FFL…

cs.CV2026

EUGens: Efficient, Unified, and General Dense Layers

Sang Min Kim, Byeongchan Kim, Arijit Sehanobish +7

Efficient neural networks are essential for scaling machine learning models to real-time applications and resource-constrained environments. Fully-connected feedforward layers (FFL…

cs.CR2026

Exploring the limits of strong membership inference attacks on large language models

Jamie Hayes, Ilia Shumailov, Christopher A. Choquette-Choo +13

State-of-the-art membership inference attacks (MIAs) typically require training many reference models, making it difficult to scale these attacks to large pre-trained language mode…

cs.RO2026

Evaluating Gemini Robotics Policies in a Veo World Simulator

Gemini Robotics Team, Krzysztof Choromanski, Coline Devin +20

Generative world models hold significant potential for simulating interactions with visuomotor policies in varied environments. Frontier video models can enable generation of reali…