Erich Kummerfeld

31 papers A* 2Misc 3Journal 16Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	An extensive simulation study evaluating the interaction of resampling techniques across multiple causal discovery contexts. CoRR Ritwick Banerjee, Bryan Andrews, Erich Kummerfeld
2025	J	`jnl`	Artifacts in spatial transcriptomics data: their detection, importance, prevalence, and prevention. Briefings Bioinform. Erich Kummerfeld, Leland Williams, Yinzhao Wang, Samuel T. Peters, Elizabeth Schmidt, Mickayla Dufresne-To, David Bernlohr, Paul Robbins, Sayeed Ikramuddin, Oyedele Adeyi, Linshan Laux, Grant Barthel, Steven Johnson, Jinhua Wang, Laura Niedernhofer, Andrew Nelson, Constantin F. Aliferis
2025	J	`jnl`	Prompt Optimization and Evaluation for LLM Automated Red Teaming. CoRR Michael Freenor, Lauren Alvarez, Milton Leal, Lily Smith, Joel Garrett, Yelyzaveta Husieva, Madeline Woodruff, Ryan Miller, Erich Kummerfeld, Rafael Medeiros, Sander Schulhoff
2025	J	`jnl`	Sensitivity Analysis of the Consistency Assumption. CoRR Brian Knaeble, Qinyun Lin, Erich Kummerfeld, Kenneth A. Frank
2024	J	`jnl`	Better Simulations for Validating Causal Discovery with the DAG-Adaptation of the Onion Method. CoRR Bryan Andrews, Erich Kummerfeld
2024	J	`jnl`	Data-driven Automated Negative Control Estimation (DANCE): Search for, Validation of, and Causal Inference with Negative Controls. J. Mach. Learn. Res. Erich Kummerfeld, Jaewon Lim, Xu Shi
2024	J	`jnl`	Power analysis for causal discovery. Int. J. Data Sci. Anal. Erich Kummerfeld, Leland Williams, Sisi Ma
2023	—	`conf`	A Computational Framework for EEG Causal Oscillatory Connectivity. CAWS Eric Rawls, Casey Gilmore, Erich Kummerfeld, Kelvin Lim, Tasha Nienow
2023	—	`ed.`	Causal Analysis Workshop Series, CAWS 2023, Virtual Event, August 14, 2023. CAWS Erich Kummerfeld, Sisi Ma, Eric Rawls, Bryan Andrews
2023	J	`jnl`	Causal Discovery for fMRI data: Challenges, Solutions, and a Case Study. CoRR Eric Rawls, Bryan Andrews, Kelvin Lim, Erich Kummerfeld
2023	A*	`conf`	Fast Scalable and Accurate Discovery of DAGs Using the Best Order Score Search and Grow Shrink Trees. NeurIPS Bryan Andrews, Joseph D. Ramsey, Ruben Sanchez-Romero, Jazmin Camchong, Erich Kummerfeld
2023	J	`jnl`	Fast Scalable and Accurate Discovery of DAGs Using the Best Order Score Search and Grow-Shrink Trees. CoRR Bryan Andrews, Joseph D. Ramsey, Ruben Sanchez-Romero, Jazmin Camchong, Erich Kummerfeld
2022	Misc	`conf`	Application of Causal Discovery Algorithms in Studying the Nephrotoxicity of Remdesivir Using Longitudinal Data from the EHR. AMIA Jianqiu Zhang, Erich Kummerfeld, Gretchen M. Hultman, Paul E. Drawz, Terrence Adams, György J. Simon, Genevieve B. Melton
2022	J	`jnl`	Investigating the effect of binning on causal discovery. CoRR Andrew Colt Deckert, Erich Kummerfeld
2022	J	`jnl`	The resting-state causal human connectome is characterized by hub connectivity of executive and attentional networks. NeuroImage Eric Rawls, Erich Kummerfeld, Bryon A. Mueller, Sisi Ma, Anna Zilverstand
2021	J	`jnl`	A Prospective Observational Study to Investigate Performance of a Chest X-ray Artificial Intelligence Diagnostic Support Tool Across 12 U.S. Hospitals. CoRR Ju Sun, Le Peng, Taihui Li, Dyah Adila, Zach Zaiman, Genevieve B. Melton, Nicholas Ingraham, Eric Murray, Daniel Boley, Sean Switzer, John L. Burns, Kun Huang, Tadashi Allen, Scott D. Steenburg, Judy Wawira Gichoya, Erich Kummerfeld, Christopher J. Tignanelli
2021	—	`conf`	Applying Causal Discovery to Intensive Longitudinal Data. CAWS Brittany Stevenson, Erich Kummerfeld, Jennifer Merrill
2021	—	`ed.`	Causal Analysis Workshop Series, CAWS 2021, Minneapolis, Minnesota, USA, July 16, 2021. CAWS Sisi Ma, Erich Kummerfeld
2021	—	`conf`	Important Topics in Causal Analysis: Summary of the CAWS 2021 Round Table Discussion. CAWS Erich Kummerfeld, Thomas Woolf, Will Glad, Michèle Sebag, Sisi Ma
2019	J	`jnl`	Assessing the collective utility of multiple analyses on clinical alcohol use disorder data. J. Am. Medical Informatics Assoc. Erich Kummerfeld, Alexander Rix, Justin Anker, Matt Kushner
2019	—	`conf`	Constructing Instrument Mapping Using Markov Boundary Techniques: A Case Study with Two Quality of Life Instruments. BIBM Sisi Ma, Thomas Kirsh, Erich Kummerfeld, Melissa Fisher, Brandon Schermitzler, Sophia Vinogradov
2019	—	`conf`	Investigating the effect of binning on causal discovery. BIBM Andrew Colt Deckert, Erich Kummerfeld
2019	—	`conf`	Simulations evaluating resampling methods for causal discovery: ensemble performance and calibration. BIBM Erich Kummerfeld, Alexander Rix
2019	J	`jnl`	Simulations evaluating resampling methods for causal discovery: ensemble performance and calibration. CoRR Erich Kummerfeld, Alexander Rix
2019	Misc	`conf`	Team-Centered Informatics: A Necessary Adaptation to Translational and Implementation Science? AMIA Suresh K. Bhavnani, Shyam Visweswaran, Erich Kummerfeld, Carlos Clark, Rebekah Penton
2018	Misc	`conf`	Methodological Advances in the Study of Hidden Variables: A Demonstration on Clinical Alcohol Use Disorder Data. AMIA Erich Kummerfeld, Justin Anker, Alexander Rix, Matt Kushner
2016	A*	`conf`	Causal Clustering for 1-Factor Measurement Models. KDD Erich Kummerfeld, Joseph D. Ramsey
2014	—	`conf`	Causal Clustering for 2-Factor Measurement Models. ECML/PKDD (2) Erich Kummerfeld, Joe Ramsey, Renjie Yang, Peter Spirtes, Richard Scheines
2014	J	`jnl`	Erratum to: Model change and methodological virtues in scientific inference. Synth. Erich Kummerfeld, David Danks
2014	J	`jnl`	Model change and reliability in scientific inference. Synth. Erich Kummerfeld, David Danks
2013	—	`conf`	Tracking Time-varying Graphical Structure. NIPS Erich Kummerfeld, David Danks