75 citations · 97 across the 3 of their papers we have counts for
5 papers
Designing Perceptual Puzzles by Differentiating Probabilistic Programs
Kartik Chandra, Tzu-Mao Li, Joshua Tenenbaum +1
We design new visual illusions by finding "adversarial examples" for principled models of human perception -- specifically, for probabilistic models, which treat vision as Bayesian…
Differentiating a Tensor Language
Gilbert Bernstein, Michael Mara, Tzu-Mao Li +2
How does one compile derivatives of tensor programs, such that the resulting code is purely functional (hence easier to optimize and parallelize) and provably efficient relative to…
DiffTaichi: Differentiable Programming for Physical Simulation
Yuanming Hu, Luke Anderson, Tzu-Mao Li +4
We present DiffTaichi, a new differentiable programming language tailored for building high-performance differentiable physical simulators. Based on an imperative programming langu…
Differentiable Visual Computing
Tzu-Mao Li
Derivatives of computer graphics, image processing, and deep learning algorithms have tremendous use in guiding parameter space searches, or solving inverse problems. As the algori…
Inverse Path Tracing for Joint Material and Lighting Estimation
Dejan Azinović, Tzu-Mao Li, Anton Kaplanyan +1
Modern computer vision algorithms have brought significant advancement to 3D geometry reconstruction. However, illumination and material reconstruction remain less studied, with cu…