A Joint Learning Approach for Semi-supervised Neural Topic Modeling. - Jeffrey Chiu; Rajat Mittal; Neehal Tumma; Abhishek Sharma; Finale Doshi-Velez (SPNLP@ACL, 2022)

Leveraging Low-Rank and Sparse Recurrent Connectivity for Robust Closed-Loop Control. - Neehal Tumma; Mathias Lechner; Noel Loo; Ramin M. Hasani; Daniela Rus (ICLR, 2024)

A connectomics-driven analysis reveals novel characterization of border regions in mouse visual cortex. - Neehal Tumma; Linghao Kong; Shashata Sawmya; Tony T. Wang 001; Nir Shavit (Neural Networks, 2025)

Quantifying Memory Utilization with Effective State-Size. - Rom N. Parnichkun; Neehal Tumma; Armin W. Thomas; Alessandro Moro; Qi An; Taiji Suzuki; Atsushi Yamashita; Michael Poli; Stefano Massaroli (CoRR, 2025)