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OpenAI et al. OpenAI o1-mini: Advancing cost-efficient reasoning. OpenAI.com, September 12, 2024.

OpenAI et al. GPT-4V(ision): ChatGPT can now see, hear, and speak. OpenAI.com, September 25, 2023.

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Michael Petrov, Chelsea Voss, Ludwig Schubert, Nick Cammarata, Gabriel Goh, and Chris Olah. Weight Banding. Distill, April 8, 2021.

Chelsea Voss, Gabriel Goh, Nick Cammarata, Michael Petrov, Ludwig Schubert, and Chris Olah. Branch Specialization. Distill, April 5, 2021.

Gabriel Goh, Nick Cammarata, Chelsea Voss, Shan Carter, Michael Petrov, Ludwig Schubert, Alec Radford, and Chris Olah. Multimodal Neurons in Artificial Neural Networks. Distill, March 4, 2021. Also as a blog post on OpenAI.com.

Aditya Ramesh, Mikhail Pavlov, Gabriel Goh, Scott Gray, Chelsea Voss, Alec Radford, Mark Chen, and Ilya Sutskever. Zero-Shot Text-to-Image Generation. Proceedings of the 38th International Conference on Machine Learning, February 24, 2021. Also as a blog post on OpenAI.com.

Chelsea Voss, Nick Cammarata, Gabriel Goh, Michael Petrov, Ludwig Schubert, Ben Egan, Swee Kiat Lim, and Chris Olah. Visualizing Weights. Distill, February 4, 2021.

Nick Cammarata, Gabriel Goh, Shan Carter, Chelsea Voss, Ludwig Schubert, and Chris Olah. Curve Circuits. Distill, January 30, 2021.

Ludwig Schubert, Chelsea Voss, Nick Cammarata, Gabriel Goh, and Chris Olah. High-Low Frequency Detectors. Distill, January 27, 2021.

Chris Olah, Nick Cammarata, Chelsea Voss, Ludwig Schubert, and Gabriel Goh. Naturally Occurring Equivariance in Neural Networks. Distill, December 8, 2020.

Nisan Stiennon, Long Ouyang, Jeff Wu, Daniel Ziegler, Ryan Lowe, Chelsea Voss, Alec Radford, Dario Amodei, and Paul Christiano. Learning to Summarize from Human Feedback. 34th Conference on Neural Information Processing Systems, September 2, 2020. Also as a blog post on OpenAI.com.

Nick Cammarata, Shan Carter, Gabriel Goh, Michael Petrov, Ludwig Schubert, Chelsea Voss, Ben Egan, Swee Kiat Lim, and Chris Olah. Thread: Circuits. Distill, 2020.

Chelsea Voss, Jean Yang, and Walter Fontana. A Tool for Automated Inference of Executable Rule-Based Biological Models. Static Analysis in Systems Biology, a colocated workshop of the Static Analysis Symposium, August 29, 2017.

Chelsea Voss. Descriptive Complexity and Some Unusual Quantifiers. Class project for MIT 18.405 Advanced Complexity Theory, May 6, 2016.

Chelsea Voss. A Tool for Automated Inference in Rule-Based Biological Models. MIT master’s thesis, May 1, 2016.

Chelsea Voss. Tools for Quantum Circuit Synthesis. Class project for MIT 6.845 Quantum Complexity Theory, December 25, 2014.

Chelsea Voss. Timing Robustness in a Model Ontogenetic Signaling Cascade. Intel Science Talent Search, finalist project, March 15, 2011.