The goal of programmatic Learning from Demonstration (LfD) is to learn a policy in a
programming language that can be used to control a robot's behavior from a set of user …

We introduce the new problem of hardware decompilation. Analogous to software
decompilation, hardware decompilation is about analyzing a low-level artifact—in this case …

Binary code size is a first-class design consideration in many computing domains and a
critical factor in many more, but compiler optimizations targeting code size are few and often …

Resource-constrained environments, such as embedded devices, have limited amounts of
memory and storage. Practical programming languages such as C++ and Rust tend to …

Token generation speed is critical to power the next wave of AI inference applications. GPUs
significantly underperform during token generation due to synchronization overheads at …

This paper presents a simple yet effective approach for compressing binary files by detecting
and folding similar patterns. Until now, methods for compressing these files were mostly …

The manual adjustment of compilation flags by compiler users is impractical due to the
exponential size of the search space. To address this, machine learning-based compiler …