Ingmar Kanitscheider
Nuclear and High Energy Physics · 2006–2024
A researcher in the Science corpus: 10 papers; trusts 45 researchers and is trusted by 26 researchers here, as inferred from the citation graph.
Subfields
- Nuclear and High Energy Physics — 75 citations into it; #1,011 of 6,161 by trust here, #3,184 by citations
- Artificial Intelligence — 65 citations into it; #26,093 of 35,345 by trust here, #10,065 by citations
- Astronomy and Astrophysics — 54 citations into it; #4,352 of 10,964 by trust here, #8,516 by citations
- Reinforcement Learning — 42 citations into it
- Cognitive Neuroscience — 35 citations into it; #4,968 of 10,852 by trust here, #6,180 by citations
- Statistical and Nonlinear Physics — 35 citations into it; #1,584 of 10,127 by trust here, #3,100 by citations
- Cellular and Molecular Neuroscience — 18 citations into it; #2,293 of 2,998 by trust here, #2,876 by citations
- Atomic and Molecular Physics, and Optics — 16 citations into it
Whom Ingmar Kanitscheider trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kostas Skenderis
- O. Lunin
- Ioannis Papadimitriou
- M. Bianchi
- Samir D. Mathur
- Sebastian Thrun
- D. Freedman
- Marika Taylor
- Richard S. Sutton
- J. Maldacena
Who trusts Ingmar Kanitscheider overall
- Kostas Skenderis
- Blaise Goutéraux
- Ioannis Papadimitriou
- Paul Romatschke
- Marika Taylor
- I. Bena
- Chaopeng Shen
- Vijay Balasubramanian
- E. Kiritsis
- Sayantani Bhattacharyya
Papers from Ingmar Kanitscheider's perspective
Ordered by how strongly the researchers Ingmar Kanitscheider trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Learning Multiple Layers of Features from Tiny Images
- GENERATIVE ADVERSARIAL NETS
Their papers
- Emergent Tool Use From Multi-Agent Autocurricula (2019) — 768 citations
- Training recurrent networks to generate hypotheses about how the brain solves hard navigation problems (2016) — 60 citations
- Information-limiting correlations (2014) — 530 citations
- GPT-4o System Card (2024) — 4,622 citations
- GPT-4 Technical Report (2023) — 26,133 citations
- Correlations and Neuronal Population Information (2016) — 361 citations
- Universal hydrodynamics of non-conformal branes (2009) — 221 citations
- Precision holography for non-conformal branes (2008) — 251 citations
- Fuzzballs with internal excitations (2007) — 255 citations
- Holographic anatomy of fuzzballs (2006) — 161 citations