ML Anthology

Golland, Polina

29 publications

ICLR 2025 Calibrating Expressions of Certainty Peiqi Wang, Barbara D. Lam, Yingcheng Liu, Ameneh Asgari-Targhi, Rameswar Panda, William M Wells, Tina Kapur, Polina Golland
NeurIPS 2025 Connecting Jensen–Shannon and Kullback–Leibler Divergences: A New Bound for Representation Learning Reuben Dorent, Polina Golland, William M Wells
ICLRW 2025 Diversity Measurement and Subset Selection for Instruction Tuning Datasets Peiqi Wang, Yikang Shen, Zhen Guo, Matthew Stallone, Yoon Kim, Polina Golland, Rameswar Panda
ICLR 2025 Learning General-Purpose Biomedical Volume Representations Using Randomized Synthesis Neel Dey, Benjamin Billot, Hallee E. Wong, Clinton Wang, Mengwei Ren, Ellen Grant, Adrian V Dalca, Polina Golland
NeurIPS 2025 PolyPose: Deformable 2D/3D Registration via Polyrigid Transformations Vivek Gopalakrishnan, Neel Dey, Polina Golland
WACV 2024 AnyStar: Domain Randomized Universal Star-Convex 3D Instance Segmentation Neel Dey, Mazdak Abulnaga, Benjamin Billot, Esra Abaci Turk, Ellen Grant, Adrian V. Dalca, Polina Golland
CVPR 2024 Fully Convolutional Slice-to-Volume Reconstruction for Single-Stack MRI Sean I. Young, Yael Balbastre, Bruce Fischl, Polina Golland, Juan Eugenio Iglesias
ICML 2024 Implicit Representations via Operator Learning Sourav Pal, Harshavardhan Adepu, Clinton Wang, Polina Golland, Vikas Singh
CVPR 2024 Intraoperative 2D/3D Image Registration via Differentiable X-Ray Rendering Vivek Gopalakrishnan, Neel Dey, Polina Golland
MIDL 2024 Network Conditioning for Synergistic Learning on Partial Annotations Benjamin Billot, Neel Dey, Esra Abaci Turk, Ellen Grant, Polina Golland
TMLR 2023 Discretization Invariant Networks for Learning Maps Between Neural Fields Clinton Wang, Polina Golland
ICMLW 2023 Interpolating Between Images with Diffusion Models Clinton Wang, Polina Golland
MLHC 2023 Sample-Specific Debiasing for Better Image-Text Models Peiqi Wang, Yingcheng Liu, Ching-Yun Ko, William M. Wells, Seth Berkowitz, Steven Horng, Polina Golland
NeurIPSW 2022 Approximate Discretization Invariance for Deep Learning on Neural Fields Clinton Wang, Polina Golland
NeurIPSW 2021 Bayesian Image Reconstruction Using Deep Generative Models Razvan Marinescu, Daniel Moyer, Polina Golland
CVPRW 2020 A Topological Encoding Convolutional Neural Network for Segmentation of 3D Multiphoton Images of Brain Vasculature Using Persistent Homology Mohammad Haft-Javaherian, Martin Villiger, Chris B. Schaffer, Nozomi Nishimura, Polina Golland, Brett E. Bouma
NeurIPS 2020 PEP: Parameter Ensembling by Perturbation Alireza Mehrtash, Purang Abolmaesumi, Polina Golland, Tina Kapur, Demian Wassermann, William Wells
NeurIPS 2010 Categories and Functional Units: An Infinite Hierarchical Model for Brain Activations Danial Lashkari, Ramesh Sridharan, Polina Golland
NeurIPS 2010 Functional Geometry Alignment and Localization of Brain Areas Georg Langs, Yanmei Tie, Laura Rigolo, Alexandra Golby, Polina Golland
CVPRW 2010 Nonparametric Hierarchical Bayesian Model for Functional Brain Parcellation Danial Lashkari, Ramesh Sridharan, Ed Vul, Po-Jang Hsieh, Nancy Kanwisher, Polina Golland
CVPRW 2010 Robust Feature Selection in Resting-State fMRI Connectivity Based on Population Studies Archana Venkataraman, Marek Kubicki, Carl-Fredrik Westin, Polina Golland
NeurIPS 2007 Convex Clustering with Exemplar-Based Models Danial Lashkari, Polina Golland
ICCV 2007 Cortical Folding Development Study Based on Over-Complete Spherical Wavelets Peng Yu, B. T. Thomas Yeo, Patricia Ellen Grant, Bruce Fischl, Polina Golland
ICCV 2007 What Data to Co-Register for Computing Atlases B. T. Thomas Yeo, Mert R. Sabuncu, Hartmut Mohlberg, Katrin Amunts, Karl Zilles, Polina Golland, Bruce Fischl
CVPRW 2006 Cortical Surface Shape Analysis Based on Spherical Wavelet Transformation Peng Yu, Xiao Han, Florent Ségonne, Rudolph Pienaar, Randy L. Buckner, Polina Golland, Patricia Ellen Grant, Bruce Fischl
COLT 2005 Permutation Tests for Classification Polina Golland, Feng Liang, Sayan Mukherjee, Dmitry Panchenko
NeurIPS 2001 Discriminative Direction for Kernel Classifiers Polina Golland
CVPR 2000 Fixed Topology Skeletons Polina Golland, W. Eric L. Grimson
ICCV 1998 Stereo Matching with Transparency and Matting Richard Szeliski, Polina Golland