Sumanth Varambally

Discovering Latent Causal Graphs from Spatiotemporal Data.
Kun Wang*, Sumanth Varambally*, Duncan Watson-Parris, Yi-An Ma, Rose Yu.
ICML 2025.
(Workshop version: NeurIPS 2024 Causal Representation Learning Workshop, Oral Presentation)

Discovering Mixtures of Structural Causal Models from Time Series Data.
Sumanth Varambally, Yi-An Ma, Rose Yu.
ICML 2024.

Which MAPF Model Works Best for Automated Warehousing?
Sumanth Varambally, Jiaoyang Li, Sven Koenig.
SoCS 2022.

Generalization on Unseen Domains via Inference-Time Label-Preserving Target Projections.
Prashant Pandey, Mrigank Raman*, Sumanth Varambally*, Prathosh AP.
CVPR 2021. (Oral)

Fast One-class Classification using Class Boundary-preserving Random Projections.
Arindam Bhattacharya, Sumanth Varambally, Amitabha Bagchi, Srikanta Bedathur.
KDD 2021.

Aquilon: Towards Building Multimodal Weather LLMs.
Sumanth Varambally, Veeramakali Vignesh Manivannan, Yasaman Jafari, Luyu Han, Zachary Novack, Zhirui Xia, Salva Rühling Cachay, Srikar Eranky, Ruijia Niu, Taylor Berg-Kirkpatrick, Duncan Watson-Parris, Yian Ma, Rose Yu
ICML 2025 Workshop on Assessing World Models
ICML 2025 Workshop on DataWorld: Unifying Data Curation Frameworks Across Domains