A framework for evaluating approximation methods for Gaussian process regression. - Krzysztof Chalupka; Christopher K. I. Williams; Iain Murray 001 (J. Mach. Learn. Res., 2013)

Visual Causal Feature Learning. - Krzysztof Chalupka; Pietro Perona; Frederick Eberhardt (UAI, 2015)

Generalized Regressive Motion: a Visual Cue to Collision. - Krzysztof Chalupka; Michael Dickinson; Pietro Perona (CoRR, 2015)

Multi-Level Cause-Effect Systems. - Krzysztof Chalupka; Frederick Eberhardt; Pietro Perona (AISTATS, 2016)

Unsupervised Discovery of El Nino Using Causal Feature Learning on Microlevel Climate Data. - Krzysztof Chalupka; Tobias Bischoff; Frederick Eberhardt; Pietro Perona (UAI, 2016)

Estimating Causal Direction and Confounding of Two Discrete Variables. - Krzysztof Chalupka; Frederick Eberhardt; Pietro Perona (CoRR, 2016)

Causal Regularization. - Mohammad Taha Bahadori; Krzysztof Chalupka; Edward Choi 003; Robert Chen 001; Walter F. Stewart; Jimeng Sun 001 (CoRR, 2017)

Automated Macro-scale Causal Hypothesis Formation Based on Micro-scale Observation. - Krzysztof Chalupka (2017)

Fast Conditional Independence Test for Vector Variables with Large Sample Sizes. - Krzysztof Chalupka; Pietro Perona; Frederick Eberhardt (CoRR, 2018)

Rethinking Zero-Shot Video Classification: End-to-End Training for Realistic Applications. - Biagio Brattoli; Joseph Tighe; Fedor Zhdanov; Pietro Perona; Krzysztof Chalupka (CVPR, 2020)