Dhanya Sridhar

Publications

Learning a Spatial Partitioning and its Causal Relations from Temporal Data. Philippe Brouillard, Sébastien Lachapelle, Julia Kaltenborn, Yaniv Gurwicz, Dhanya Sridhar, Alexandre Drouin, Peer Nowack, Jakob Runge, David Rolnick. At Causal Learning and Reasoning (CLeaR), 2026.

Causal Differentiating Concepts: Interpreting LM Behavior via Causal Representation Learning. Navita Goyal, Hal Daumé III, Alexandre Drouin, Dhanya Sridhar. At Neural Information Processing Systems (NeurIPS), 2025.

The Landscape of Causal Discovery Data: Grounding Causal Discovery in Real-World Applications. Philippe Brouillard, Chandler Squires, Jonas Wahl, Konrad P. Kording, Karen Sachs, Dhanya Sridhar, Alexandre Drouin. At Causal Learning and Reasoning (CLeaR), 2025.

Paper Cite Code

The Landscape of Causal Discovery Data: Grounding Causal Discovery in Real-World Applications. Philippe Brouillard, Chandler Squires, Jonas Wahl, Konrad P. Kording, Karen Sachs, Alexandre Drouin, Dhanya Sridhar. At Workshop at the International Conference of Learning Representation (ICLR), 2025.

Paper Cite Code

Evaluating Interventional Reasoning Capabilities of Large Language Models. Tejas Kasetty, Divyat Mahajan, Gintare Karolina Dziugaite, Alexandre Drouin, Dhanya Sridhar. At Workshop at the Neural Information Processing Systems (NeurIPS), 2024.

Towards Disentangled High-level Causal Explanations in Text. Navita Goyal, Hal Daumé III, Alexandre Drouin, Dhanya Sridhar. At Mid-Atlantic Student Colloquium on Speech, Language and Learning, 2024.