Neehal Tumma

According to our database, Neehal Tumma authored at least 6 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Preconditioned DeltaNet: Curvature-aware Sequence Modeling for Linear Recurrences.

Neehal Tumma, Noel Loo, Daniela Rus

CoRR, April, 2026

2025

LFM2 Technical Report.

Alexander Amini, Anna Banaszak, Harold Benoit, Arthur Böök, Tarek Dakhran, Song Duong, Alfred Eng, Fernando Fernandes, Marc Härkönen, Anne Harrington, Ramin M. Hasani, Saniya Karwa, Yuri Khrustalev, Maxime Labonne, Mathias Lechner, Valentine Lechner, Simon Lee, Zetian Li, Noel Loo, Jacob Marks, Edoardo Mosca, Samuel J. Paech, Paul Pak, Rom N. Parnichkun, Alex Quach, Ryan Rogers, Daniela Rus, Nayan Saxena, Bettina Schlager, Tim Seyde, Jimmy T. H. Smith, Aditya Tadimeti, Neehal Tumma

CoRR, November, 2025

A connectomics-driven analysis reveals novel characterization of border regions in mouse visual cortex.

Neehal Tumma, Linghao Kong, Shashata Sawmya, Tony T. Wang, 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

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Leveraging Low-Rank and Sparse Recurrent Connectivity for Robust Closed-Loop Control.

Neehal Tumma, Mathias Lechner, Noel Loo, Ramin M. Hasani, Daniela Rus

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2022

A Joint Learning Approach for Semi-supervised Neural Topic Modeling.

Jeffrey Chiu, Rajat Mittal, Neehal Tumma, Abhishek Sharma, Finale Doshi-Velez

Proceedings of the Sixth Workshop on Structured Prediction for NLP, 2022