Vinam Arora

According to our database, Vinam Arora authored at least 6 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Integrating Temporal and Structural Context in Graph Transformers for Relational Deep Learning.

Divyansha Lachi, Mahmoud Mohammadi, Joe Meyer, Vinam Arora, Tom Palczewski, Eva L. Dyer

CoRR, November, 2025

GraphFM: A generalist graph transformer that learns transferable representations across diverse domains.

Divyansha Lachi, Mehdi Azabou, Vinam Arora, Eva L. Dyer

Trans. Mach. Learn. Res., 2025

Know Thyself by Knowing Others: Learning Neuron Identity from Population Context.

Vinam Arora, Divyansha Lachi, Ian Jarratt Knight, Mehdi Azabou, Blake A. Richards, Cole L. Hurwitz, Joshua H. Siegle, Eva L. Dyer

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Multi-session, multi-task neural decoding from distinct cell-types and brain regions.

Mehdi Azabou, Krystal Xuejing Pan, Vinam Arora, Ian Jarratt Knight, Eva L. Dyer, Blake Aaron Richards

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

GraphFM: A Scalable Framework for Multi-Graph Pretraining.

Divyansha Lachi, Mehdi Azabou, Vinam Arora, Eva L. Dyer

CoRR, 2024

2023

A Unified, Scalable Framework for Neural Population Decoding.

Mehdi Azabou, Vinam Arora, Venkataramana Ganesh, Ximeng Mao, Santosh Nachimuthu, Michael Mendelson, Blake A. Richards, Matthew G. Perich, Guillaume Lajoie, Eva L. Dyer

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023