Zico Kolter
Artificial Intelligence · 2013–2025
A researcher in the Science corpus: 9 papers; trusts 209 researchers and is trusted by 16 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 149 citations into it; #11,287 of 35,345 by trust here, #14,718 by citations
- Computer Vision and Pattern Recognition — 73 citations into it
- Safety, Robustness & Interpretability — 71 citations into it
- Generative Models — 18 citations into it
- Optimization & Training — 16 citations into it
- Program Analysis & Verification — 15 citations into it
- Electrical and Electronic Engineering — 14 citations into it
- Statistical and Nonlinear Physics — 14 citations into it
Whom Zico Kolter trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Kaiming He
- Alex Krizhevsky
- Diederik P. Kingma
- Yoshua Bengio
- Yann LeCun
- Ian J. Goodfellow
- Eric Wong
- Ilya Sutskever
- J. Kolter
Who trusts Zico Kolter overall
Papers from Zico Kolter's perspective
Ordered by how strongly the researchers Zico Kolter trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Representation Engineering: A Top-Down Approach to AI Transparency (2023) — 1,173 citations
- SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver (2019) — 319 citations
- Mean Flows for One-step Generative Modeling (2025) — 474 citations
- AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agents (2024) — 322 citations
- Improving Alignment and Robustness with Circuit Breakers (2024) — 311 citations
- Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Neural Network Robustness Verification (2021) — 332 citations
- Overfitting in adversarially robust deep learning (2020) — 962 citations
- End-to-End Differentiable Physics for Learning and Control (2018) — 467 citations
- Large-scale probabilistic forecasting in energy systems using sparse Gaussian conditional random fields (2013) — 43 citations