Dhruv Madeka

Artificial Intelligence · 2017–2025

A researcher in the Science corpus: 3 papers; trusts 67 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it; #11,141 of 35,345 by trust here, #15,542 by citations
• Computer Vision and Pattern Recognition — 12 citations into it
• Generative Models — 11 citations into it
• Signal Processing — 11 citations into it; #2,015 of 7,572 by trust here, #2,457 by citations
• Model Architectures — 9 citations into it
• Management Science and Operations Research — 7 citations into it; #2,836 of 11,946 by trust here, #3,153 by citations
• Probabilistic & Bayesian Methods — 6 citations into it
• Time-Series & Forecasting — 6 citations into it; #77 of 381 by trust here, #92 by citations

Whom Dhruv Madeka trusts overall

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

1. Zoubin Ghahramani
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Jeffrey L. Elman
5. Sergey Ioffe
6. Yoshua Bengio
7. Vinod Nair
8. Mehdi Mirza
9. Alex Krizhevsky
10. Ian J. Goodfellow

Who trusts Dhruv Madeka overall

1. Bryan Lim
2. Ruofeng Wen
3. Jan Gasthaus

Papers from Dhruv Madeka's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• A Multi-Horizon Quantile Recurrent Forecaster (2017) — 527 citations
• Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities (2025) — 3,609 citations
• Sample Path Generation for Probabilistic Demand Forecasting (2018) — 12 citations