Xtalk: a path-based approach for identifying crosstalk between signaling pathways. - Allison N. Tegge; Nicholas Sharp; T. M. Murali 001 (Bioinform., 2016)

Variational surface cutting. - Nicholas Sharp; Keenan Crane (ACM Trans. Graph., 2018)

The Vector Heat Method. - Nicholas Sharp; Yousuf Soliman; Keenan Crane (ACM Trans. Graph., 2019)

Navigating intrinsic triangulations. - Nicholas Sharp; Yousuf Soliman; Keenan Crane (ACM Trans. Graph., 2019)

PointTriNet: Learned Triangulation of 3D Point Sets. - Nicholas Sharp; Maks Ovsjanikov (ECCV (23), 2020)

A Laplacian for Nonmanifold Triangle Meshes. - Nicholas Sharp; Keenan Crane (Comput. Graph. Forum, 2020)

Diffusion is All You Need for Learning on Surfaces. - Nicholas Sharp; Souhaib Attaiki; Keenan Crane; Maks Ovsjanikov (CoRR, 2020)

You can find geodesic paths in triangle meshes by just flipping edges. - Nicholas Sharp; Keenan Crane (ACM Trans. Graph., 2020)

Geometry processing with intrinsic triangulations. - Nicholas Sharp; Mark Gillespie; Keenan Crane (SIGGRAPH Courses, 2021)

Integer coordinates for intrinsic geometry processing. - Mark Gillespie; Nicholas Sharp; Keenan Crane (ACM Trans. Graph., 2021)

Intrinsic Triangulations in Geometry Processing. - Nicholas Sharp (2021)

VectorAdam for Rotation Equivariant Geometry Optimization. - Selena Ling; Nicholas Sharp; Alec Jacobson (NeurIPS, 2022)

Spelunking the Deep: Guaranteed Queries for General Neural Implicit Surfaces. - Nicholas Sharp; Alec Jacobson (CoRR, 2022)

DiffusionNet: Discretization Agnostic Learning on Surfaces. - Nicholas Sharp; Souhaib Attaiki; Keenan Crane; Maks Ovsjanikov (ACM Trans. Graph., 2022)

Spelunking the deep: guaranteed queries on general neural implicit surfaces via range analysis. - Nicholas Sharp; Alec Jacobson (ACM Trans. Graph., 2022)

TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion Models. - Tianshi Cao; Karsten Kreis; Sanja Fidler; Nicholas Sharp; Kangxue Yin (ICCV, 2023)

ATT3D: Amortized Text-to-3D Object Synthesis. - Jonathan Lorraine; Kevin Xie; Xiaohui Zeng; Chen-Hsuan Lin 001; Towaki Takikawa; Nicholas Sharp; Tsung-Yi Lin; Ming-Yu Liu 001; Sanja Fidler; James Lucas (ICCV, 2023)

Data-Free Learning of Reduced-Order Kinematics. - Nicholas Sharp; Cristian Romero; Alec Jacobson; Etienne Vouga; Paul G. Kry; David I. W. Levin; Justin Solomon 001 (SIGGRAPH (Conference Paper Track), 2023)

Surface Simplification using Intrinsic Error Metrics. - Hsueh-Ti Derek Liu; Mark Gillespie; Benjamin Chislett; Nicholas Sharp; Alec Jacobson; Keenan Crane (ACM Trans. Graph., 2023)

Flexible Isosurface Extraction for Gradient-Based Mesh Optimization. - Tianchang Shen; Jacob Munkberg; Jon Hasselgren; Kangxue Yin; Zian Wang; Wenzheng Chen; Zan Gojcic; Sanja Fidler; Nicholas Sharp; Jun Gao 004 (ACM Trans. Graph., 2023)

Adaptive Shells for Efficient Neural Radiance Field Rendering. - Zian Wang; Tianchang Shen; Merlin Nimier-David; Nicholas Sharp; Jun Gao 004; Alexander Keller 001; Sanja Fidler; Thomas Müller 013; Zan Gojcic (ACM Trans. Graph., 2023)

SpaceMesh: A Continuous Representation for Learning Manifold Surface Meshes. - Tianchang Shen; Zhaoshuo Li; Marc T. Law; Matan Atzmon; Sanja Fidler; James Lucas; Jun Gao 004; Nicholas Sharp (SIGGRAPH Asia, 2024)

Simplicits: Mesh-Free, Geometry-Agnostic Elastic Simulation. - Vismay Modi; Nicholas Sharp; Or Perel; Shinjiro Sueda; David I. W. Levin (ACM Trans. Graph., 2024)

Surface-Filling Curve Flows via Implicit Medial Axes. - Yuta Noma; Silvia Sellán; Nicholas Sharp; Karan Singh; Alec Jacobson (ACM Trans. Graph., 2024)

3D Gaussian Ray Tracing: Fast Tracing of Particle Scenes. - Nicolas Moënne-Loccoz; Ashkan Mirzaei; Or Perel; Riccardo de Lutio; Janick Martinez Esturo; Gavriel State; Sanja Fidler; Nicholas Sharp; Zan Gojcic (ACM Trans. Graph., 2024)

PARTFIELD: Learning 3D Feature Fields for Part Segmentation and Beyond. - Ming-Yu Liu 001; Mikaela Angelina Uy; Donglai Xiang; Hao Su; Sanja Fidler; Nicholas Sharp; Jun Gao 004 (CoRR, 2025)

Neurally Integrated Finite Elements for Differentiable Elasticity on Evolving Domains. - Gilles Daviet; Tianchang Shen; Nicholas Sharp; David I. W. Levin (ACM Trans. Graph., 2025)

Stochastic Barnes-Hut Approximation for Fast Summation on the GPU. - Abhishek Madan; Nicholas Sharp; Francis Williams; Ken Museth; David I. W. Levin (CoRR, 2025)

Uniform Sampling of Surfaces by Casting Rays. - Selena Ling; Abhishek Madan; Nicholas Sharp; Alec Jacobson (CoRR, 2025)

Putting Rigid Bodies to Rest. - Hossein Baktash; Nicholas Sharp; Qingnan Zhou; Alec Jacobson; Keenan Crane (ACM Trans. Graph., 2025)

Stochastic Preconditioning for Neural Field Optimization. - Selena Ling; Merlin Nimier-David; Alec Jacobson; Nicholas Sharp (ACM Trans. Graph., 2025)