On Impact of Weather on Human Mobility in Cities. - Jun Pang 001; Polina Zablotskaia; Yang Zhang 016 (WISE (2), 2016)

DwNet: Dense warp-based network for pose-guided human video generation. - Polina Zablotskaia; Aliaksandr Siarohin; Bo Zhao; Leonid Sigal (BMVC, 2019)

Unsupervised Video Decomposition using Spatio-temporal Iterative Inference. - Polina Zablotskaia; Edoardo A. Dominici; Leonid Sigal; Andreas M. Lehrmann (CoRR, 2020)

PROVIDE: a probabilistic framework for unsupervised video decomposition. - Polina Zablotskaia; Edoardo A. Dominici; Leonid Sigal; Andreas M. Lehrmann (UAI, 2021)

Scaling Up Influence Functions. - Andrea Schioppa; Polina Zablotskaia; David Vilar; Artem Sokolov (AAAI, 2022)

"Will You Find These Shortcuts?" A Protocol for Evaluating the Faithfulness of Input Salience Methods for Text Classification. - Jasmijn Bastings; Sebastian Ebert; Polina Zablotskaia; Anders Sandholm 001; Katja Filippova (EMNLP, 2022)

Breaking BERT: Evaluating and Optimizing Sparsified Attention. - Siddhartha Brahma; Polina Zablotskaia; David Mimno (CoRR, 2022)

On Uncertainty Calibration and Selective Generation in Probabilistic Neural Summarization: A Benchmark Study. - Polina Zablotskaia; Du Phan; Joshua Maynez; Shashi Narayan; Jie Ren 006; Jeremiah Z. Liu (EMNLP (Findings), 2023)

Theoretical and Practical Perspectives on what Influence Functions Do. - Andrea Schioppa; Katja Filippova; Ivan Titov 001; Polina Zablotskaia (NeurIPS, 2023)

Calibrating Likelihoods towards Consistency in Summarization Models. - Polina Zablotskaia; Misha Khalman; Rishabh Joshi; Livio Baldini Soares; Shoshana Jakobovits; Joshua Maynez; Shashi Narayan (CoRR, 2023)