High-performance automatic differentiation of LLVM and MLIR.

In this paper, we introduce a novel path tracing-based differentiable projector-camera systems (DPCS), offering a differentiable ProCams simulation method that explicitly integrates multi-bounce path ...

In this talk, we will introduce a state-of-the-art scientific machine learning paradigm - differentiable physics (DiffPhys). DiffPhys can be considered a system identification paradigm that can be ...

To tackle the challenges, we propose an accurate template matching method based on differentiable coarse-to-fine correspondence refinement. We use an edge-aware module to overcome the domain gap ...

Differentiable: Leveraging JAX's automatic differentiation for efficient gradient computation of quantum properties, enabling straightforward optimization workflows. GPU-Accelerated: Optimized for ...

Existing methods often struggle to identify relatively critical road segments in local areas with lower traffic flow in large ...

Thermally Aware Chip Placement with Automatic Differentiation” was published by researchers at MIT and IBM. Abstract “Chiplets are modular integrated circuits that can be combined to form a larger ...

This important study examined orientation representations along the visual hierarchy during perception and working memory. The authors provide results suggesting that during working memory there is a ...