CAMPAIGN: an open-source library of GPU-accelerated data clustering algorithms. - Kai J. Kohlhoff; Marc H. Sosnick; William T. Hsu; Vijay S. Pande; Russ B. Altman (Bioinform., 2011)

Science in the Cloud: Accelerating Discovery in the 21st Century. - Joseph L. Hellerstein; Kai J. Kohlhoff; David E. Konerding (IEEE Internet Comput., 2012)

K-Means for Parallel Architectures Using All-Prefix-Sum Sorting and Updating Steps. - Kai J. Kohlhoff; Vijay S. Pande; Russ B. Altman (IEEE Trans. Parallel Distributed Syst., 2013)

Dex-Net 1.0: A cloud-based network of 3D objects for robust grasp planning using a Multi-Armed Bandit model with correlated rewards. - Jeffrey Mahler; Florian T. Pokorny; Brian Hou; Melrose Roderick; Michael Laskey; Mathieu Aubry; Kai Kohlhoff; Torsten Kröger; James J. Kuffner; Ken Goldberg (ICRA, 2016)

A data-driven large-scale optimization approach for task-specific physics realism in real-time robotics simulation. - Andreas Bihlmaier; Kai Kohlhoff (SIMPAR, 2016)

Tensor Field Networks: Rotation- and Translation-Equivariant Neural Networks for 3D Point Clouds. - Nathaniel Thomas; Tess E. Smidt; Steven Kearnes; Lusann Yang; Li Li 060; Kai Kohlhoff; Patrick Riley 001 (CoRR, 2018)

A kinetic ensemble of the Alzheimer's Aβ peptide. - Thomas Löhr; Kai Kohlhoff; Gabriella T. Heller; Carlo Camilloni; Michele Vendruscolo (Nat. Comput. Sci., 2021)

Deep Saliency Prior for Reducing Visual Distraction. - Kfir Aberman; Junfeng He; Yossi Gandelsman; Inbar Mosseri; David E. Jacobs; Kai Kohlhoff; Yael Pritch; Michael Rubinstein (CVPR, 2022)

Differentially Private Heatmaps. - Badih Ghazi; Junfeng He; Kai Kohlhoff; Ravi Kumar 001; Pasin Manurangsi; Vidhya Navalpakkam; Nachiappan Valliappan (AAAI, 2023)

Learning from Unique Perspectives: User-aware Saliency Modeling. - Shi Chen 001; Nachiappan Valliappan; Shaolei Shen; Xinyu Ye; Kai Kohlhoff; Junfeng He (CVPR, 2023)

UniAR: Unifying Human Attention and Response Prediction on Visual Content. - Peizhao Li; Junfeng He; Gang Li; Rachit Bhargava; Shaolei Shen; Nachiappan Valliappan; Youwei Liang; Hongxiang Gu; Venky Ramachandran; Golnaz Farhadi; Yang Li; Kai J. Kohlhoff; et al. (CoRR, 2023)

Rich Human Feedback for Text-to-Image Generation. - Youwei Liang; Junfeng He; Gang Li; Peizhao Li; Arseniy Klimovskiy; Nicholas Carolan; Jiao Sun; Jordi Pont-Tuset; Sarah Young; Feng Yang; Junjie Ke; Krishnamurthy Dj Dvijotham; et al. (CVPR, 2024)

UniAR: A Unified model for predicting human Attention and Responses on visual content. - Peizhao Li; Junfeng He; Gang Li; Rachit Bhargava; Shaolei Shen; Nachiappan Valliappan; Youwei Liang; Hongxiang Gu; Venky Ramachandran; Golnaz Farhadi; Yang Li; Kai Kohlhoff; et al. (NeurIPS, 2024)