Riley C. W. O'Neill

Riley C. W. O'Neill

About Me

Research Interests

  • Machine learning (transformers, representation learning, generative modeling, graph learning)
  • Computer vision (3D object recognition, 3D broken object reassembly, image segmentation)
  • Optimization theory and applications

Publications

Wonjun Lee, Riley C. W. O’Neill, Dongmian Zou, Jeff Calder, & Gilad Lerman. “Geometry-Preserving Encoder/Decoder in Latent Generative Models.” Submitted manuscript, 2025.

Riley C. W. O’Neill, Katrina Yezzi-Woodley, Jeff Calder, & Peter J. Olver. “En masse scanning and automated surfacing of small objects using Micro-CT.” arXiv preprint arXiv:2410.07385 (2024), https://arxiv.org/abs/2410.07385.

Frank Cole, Yulong Lu, Riley O’Neill, Tianhao Zhang. “Provable In-Context Learning of Linear Systems and Linear Elliptic PDEs with Transformers.” NeurIPS 2024. https://arxiv.org/abs/2409.12293

Jeremy J. Lin, Tomoro Mochida, Riley C. W. O’Neill, Atsuro Yoshida, Masashi Yamazaki, and Akinobu Sasada. “Two Online Map Matching Algorithms Based on Analytic Hierarchy Process and Fuzzy Logic.” arXiv preprint arXiv:2402.11866 (2024). https://arxiv.org/abs/2402.11866

Suma Sreekanta, Allison Haaning, Austin Dobbels, Riley O’Neill, Anna Hofstad, Kamaldeep Virdi, Fumiaki Katagiri, Robert M. Stupar, Gary J. Muehlbauer, and Aaron J. Lorenz. “Variation in shoot architecture traits and their relationship to canopy coverage and light interception in soybean (Glycine max).” BMC plant biology 24, no. 1 (2024): 194. https://link.springer.com/article/10.1186/s12870-024-04859-2

Jason Brown, Riley C. W. O’Neill, Jeff Calder, & Andrea Bertozzi. “Utilizing contrastive learning for graph-based active learning of SAR data.” Algorithms for Synthetic Aperture Radar Imagery, Vol. 12520, SPIE, 2023. https://doi.org/10.1117/12.2663099

Riley C. W. O’Neill, Pedro Angulo-Uman͂a, Jeff Calder, Bo Hessburg, Peter J. Olver, Chehrzad Shakiban, & Katrina Yezzi-Woodley. “Computation of Circular Area and Spherical Volume Invariants via Boundary Integrals.” SIAM Journal on Imaging Sciences, Vol. 13, No. 1, 2 020, pp. 53-77. https://doi.org/10.1137/19M1260803

Skills

  • Languages: Python, MATLAB, C/C++, SQL, LaTeX
  • Specializations: Deep Learning, Computer Vision, Graph Neural Networks
  • Tools: PyTorch, Hugging Face, OpenCV, TensorFlow, Slurm, Linux

Other Interests

  • Minnesota winter hardy cacti
  • Antiques
  • Gardening
  • Disco

last update: 6:15