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 Presentation

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

Hilbert: Recursively Building Formal Proofs with Informal Reasoning.
Sumanth Varambally, Thomas Voice, Yanchao Sun, Zhifeng Chen, Rose Yu*, Ke Ye*.
NeurIPS 2025 MATH-AI Workshop.
Oral Presentation
Achieves a 70% pass-rate on PutnamBench, establishing a new state of the art.

Zephyrus: An Agentic Framework for Weather Science.
Sumanth Varambally, Marshall Fisher, Jas Thakker, Yiwei Chen, Zhirui Xia, Ruijia Niu, Yasaman Jafari, Veeramakali Vignesh Manivannan, Zachary Novack, Luyu Han, Srikar Eranky, Salva Rühling Cachay, Taylor Berg-Kirkpatrick, Duncan Watson-Parris, Yi-An Ma, Rose Yu.
NeurIPS 2025 Workshops on AI4Science and Scaling Environment for Agents.

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