Publications (6)
Meshtryoshka: Differentiable Rendering of Real-World Scenes via Mesh Rasterization
David Charatan, Daniel Xu, Richard Szeliski +2
Differentiable rendering has emerged as a powerful approach for 3D reconstruction and novel view synthesis. State-of-the-art differentiable rendering methods combine a variety of c…
Novel Non-Negative Variance Estimator for (Modified) Within-Cluster Resampling
Daniel Xu, Pamela Shaw, Ian Barnett
This article proposes a novel variance estimator for within-cluster resampling (WCR) and modified within-cluster resampling (MWCR) - two existing methods for analyzing longitudinal…
What's in the Box? Reasoning about Unseen Objects from Multimodal Cues
Lance Ying, Daniel Xu, Alicia Zhang +3
People regularly make inferences about objects in the world that they cannot see by flexibly integrating information from multiple sources: auditory and visual cues, language, and…
Neural Statistical Functions
Daniel Xu, Yuxin Xie, Minghao Guo +2
Classical deep learning typically operates on individual cases. Despite its success, real-world usage often requires repeated inference to estimate statistical quantities for compl…
Proof of Kaneko--Tsumura Conjecture on Triple T-Values
Sasha Berger, Aarav Chandra, Jasper Jain +3
Many -linear relations exist between multiple zeta values, the most interesting of which are various weighted sum formulas. In this paper, we generalized these to Euler…
Modeling of Network Based Digital Contact Tracing and Testing Strategies for the COVID-19 Pandemic
Daniel Xu
With more than 1.7 million COVID-19 deaths, identifying effective measures to prevent COVID-19 is a top priority. We developed a mathematical model to simulate the COVID-19 pandemi…