Language evolution in the lab tends toward informative communication. - Shubha Guha; Alexandra Carstensen; Terry Regier (CogSci, 2014)

Approaching Neural Grammatical Error Correction as a Low-Resource Machine Translation Task. - Marcin Junczys-Dowmunt; Roman Grundkiewicz; Shubha Guha; Kenneth Heafield (NAACL-HLT, 2018)

MLINSPECT: A Data Distribution Debugger for Machine Learning Pipelines. - Stefan Grafberger; Shubha Guha; Julia Stoyanovich; Sebastian Schelter (SIGMOD Conference, 2021)

Screening Native Machine Learning Pipelines with ArgusEyes. - Sebastian Schelter; Stefan Grafberger; Shubha Guha; Olivier Sprangers; Bojan Karlas; Ce Zhang 001 (CIDR, 2022)

schelterlabs/arguseyes. - Sebastian Schelter; Stefan Grafberger; Shubha Guha; Olivier Sprangers; Bojan Karlas; Ce Zhang 001 (Zenodo, 2022)

Proactively Screening Machine Learning Pipelines with ARGUSEYES. - Sebastian Schelter; Stefan Grafberger; Shubha Guha; Bojan Karlas; Ce Zhang 001 (SIGMOD Conference Companion, 2023)

MLWHATIF: What If You Could Stop Re-Implementing Your Machine Learning Pipeline Analyses Over and Over? - Stefan Grafberger; Shubha Guha; Paul Groth; Sebastian Schelter (Proc. VLDB Endow., 2023)

shubhaguha/mlwhatif-demo: Demo for VLDB 2023. - Stefan Grafberger; Shubha Guha; Paul Groth; Sebastian Schelter (Zenodo, 2023)

Etude - Evaluating the Inference Latency of Session-Based Recommendation Models at Scale. - Barrie Kersbergen; Olivier Sprangers; Frank Kootte; Shubha Guha; Maarten de Rijke; Sebastian Schelter (ICDE, 2024)

Automated Provenance-Based Screening of ML Data Preparation Pipelines. - Sebastian Schelter; Shubha Guha; Stefan Grafberger (Datenbank-Spektrum, 2024)

Automated Data Cleaning can Hurt Fairness in Machine Learning-Based Decision Making. - Shubha Guha; Falaah Arif Khan; Julia Stoyanovich; Sebastian Schelter (IEEE Trans. Knowl. Data Eng., 2024)

Co-constructing Explanations for AI Systems using Provenance. - Jan-Christoph Kalo; Fina Polat; Shubha Guha; Paul Groth (CoRR, 2025)