Subham Sekhar Sahoo

Artificial Intelligence · 2024–2025

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 51 citations into it
• Computer Vision and Pattern Recognition — 35 citations into it
• Generative Models — 25 citations into it
• Statistical and Nonlinear Physics — 12 citations into it

Whom Subham Sekhar Sahoo trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Yann LeCun
4. Yoshua Bengio
5. Alex Wang
6. Jonathan Ho
7. Alex Krizhevsky
8. Ilya Sutskever
9. Kaiming He
10. Alec Radford

Who trusts Subham Sekhar Sahoo overall

1. Shen Nie

Papers from Subham Sekhar Sahoo's perspective

Ordered by how strongly the researchers Subham Sekhar Sahoo trusts endorse each paper. Same corpus, a different order for every researcher.

1. Attention is All you Need (Neural Information Processing Systems)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• BLOCK DIFFUSION: INTERPOLATING BETWEEN AU-TOREGRESSIVE AND DIFFUSION LANGUAGE MODELS (2025) — 334 citations
• Simple and Effective Masked Diffusion Language Models (2024) — 763 citations