Pratik Sachdeva
Publications
AI Alignment
▼Normative evaluation of large language models with everyday moral dilemmas
P. S. Sachdeva, T. van Nuenen
ACM Conference on Fairness, Accountability, and Transparency (2025)
ML for Hate Speech
▼Assessing Annotator Identity Sensitivity via Item Response Theory: A Case Study in a Hate Speech Corpus
P. S. Sachdeva, R. Barreto, C. von Vacano, C. J. Kennedy
ACM Conference on Fairness, Accountability, and Transparency (2022)
Targeted Identity Group Prediction in Hate Speech Corpora
P. S. Sachdeva, R. Barreto, C. von Vacano, C. J. Kennedy
6th Workshop on Online Abuse and Harms, NAACL (2022)
The Measuring Hate Speech Corpus: Leveraging Rasch Measurement Theory for Data Perspectivism
P. S. Sachdeva, R. Barreto, G. Bacon, A. Sahn, C. von Vacano, C. J. Kennedy
1st Workshop on Perspectivist Approaches to NLP, LREC (2022)
ML in the Public Interest
▼Comparing Methods for Estimating Demographics in Racially Polarized Voting Analyses
A. Decter-Frain, P. S. Sachdeva, L. Collingwood, J. Burke, H. Murayama, M. Barreto, S. Henderson, S. A. Wood, J. Zingher
Sociological Methods & Research (2023)
Accurate and Scalable Matching of Translators to Displaced Persons for Overcoming Language Barriers
D. Agarwal, Y. Baba, P. S. Sachdeva, T. Tandon, T. Vetterli, A. Alghunaim
ML4D Workshop at Conference on Neural Information Processing Systems, NeurIPS (2020)
Computational Humanities
▼Interrogating Racism in the Medical Literature Using Word Embeddings
L. Liao, S. Darwish, C. Figueroa, E. Manalo-Pedro, S. Pola, M. Jha, F. De Maio, C. von Vacano, C. Kennedy and P.S. Sachdeva
Submitted to Computational Humanities Research 2025
The stories about racism and health: the development of a framework for racism narratives in medical literature using a computational grounded theory approach
C. Figueroa, E. Manalo-Pedro, S. Pola, S. Darwish, P.S. Sachdeva, C. von Vacano, M. Jha, F. De Maio, C. Kennedy
International Journal for Equity in Health (2025)
Computational Neuroscience
▼Identifying and Mitigating Statistical Biases in Neural Models of Tuning and Functional Coupling
P. S. Sachdeva, J. Bak, J. A. Livezey, M. E. Dougherty, S. Bhattacharyya, K. E. Bouchard
Submitted to Journal of Machine Learning Research
The geometry of correlated variability leads to highly suboptimal discriminative sensory coding
J. A. Livezey, P. S. Sachdeva, M. E. Dougherty, M. T. Summers, K. E. Bouchard
Journal of Neurophysiology (2025)
Improved inference in coupling, encoding, and decoding models and its consequence for neuroscientific interpretation
P. S. Sachdeva, J. A. Livezey, M. E. Dougherty, B. M. Gu, J. D. Berke, K. E. Bouchard
Journal of Neuroscience Methods (2021)
Heterogeneous synaptic weighting improves neural coding in the presence of common noise
P. S. Sachdeva, J. A. Livezey, M. R. DeWeese
Neural Computation (2020)
Sparse, Interpretable, and Predictive Functional Connectomics with UoI-Lasso
P. S. Sachdeva, S. Bhattacharyya, K. E. Bouchard
IEEE Engineering in Medicine and Biology Society (2019)
Open-Source Software
▼PyUoI: The Union of Intersections Framework in Python
P. S. Sachdeva, J. A. Livezey, A. J. Tritt, K. E. Bouchard
Journal of Open Source Software (2019)
Physics
▼On the Stability of Strange Dwarf Hybrid Stars
M. G. Alford, S. P. Harris, P. S. Sachdeva
The Astrophysical Journal (2017)