Adaptive reinforcement learning through evolving self-modifying neural networks. - Samuel Schmidgall (GECCO Companion, 2020)

Optimal Localized Trajectory Planning of Multiple Non-holonomic Vehicles. - Anton Lukyanenko; Heath Camphire; Avery Austin; Samuel Schmidgall; Damoon Soudbakhsh (CCTA, 2021)

Self-Constructing Neural Networks Through Random Mutation. - Samuel Schmidgall (CoRR, 2021)

Evolutionary Self-Replication as a Mechanism for Producing Artificial Intelligence. - Samuel Schmidgall; Joseph Hays (CoRR, 2021)

Self-Replicating Neural Programs. - Samuel Schmidgall (CoRR, 2021)

SpikePropamine: Differentiable Plasticity in Spiking Neural Networks. - Samuel Schmidgall; Julia Ashkanazy; Wallace Lawson; Joe Hays (Frontiers Neurorobotics, 2021)

Stable Lifelong Learning: Spiking neurons as a solution to instability in plastic neural networks. - Samuel Schmidgall; Joe Hays (NICE, 2022)

Learning to learn online with neuromodulated synaptic plasticity in spiking neural networks. - Samuel Schmidgall; Joe Hays (CoRR, 2022)

Biological connectomes as a representation for the architecture of artificial neural networks. - Samuel Schmidgall; Catherine D. Schuman; Maryam Parsa (CoRR, 2022)

Synaptic motor adaptation: A three-factor learning rule for adaptive robotic control in spiking neural networks. - Samuel Schmidgall; Joe Hays (ICONS, 2023)

Brain-inspired learning in artificial neural networks: a review. - Samuel Schmidgall; Jascha Achterberg; Thomas Miconi; Louis Kirsch; Rojin Ziaei; S. Pardis Hajiseyedrazi; Jason Eshraghian (CoRR, 2023)

Language models are susceptible to incorrect patient self-diagnosis in medical applications. - Rojin Ziaei; Samuel Schmidgall (CoRR, 2023)

Surgical Robot Transformer (SRT): Imitation Learning for Surgical Tasks. - Ji Woong Kim; Tony Z. Zhao; Samuel Schmidgall; Anton Deguet; Marin Kobilarov; Chelsea Finn; Axel Krieger (CoRL, 2024)

Surgical Gym: A high-performance GPU-based platform for reinforcement learning with surgical robots. - Samuel Schmidgall; Axel Krieger; Jason Eshraghian (ICRA, 2024)

Tracking Tumors under Deformation from Partial Point Clouds using Occupancy Networks. - Pit Henrich; Jiawei Liu; Jiawei Ge 001; Samuel Schmidgall; Lauren Shepard; Ahmed Ezzat Ghazi; Franziska Mathis-Ullrich; Axel Krieger (IROS, 2024)

Addressing cognitive bias in medical language models. - Samuel Schmidgall; Carl Harris; Ime Essien; Daniel Olshvang; Tawsifur Rahman; Ji Woong Kim; Rojin Ziaei; Jason Eshraghian; Peter Abadir; Rama Chellappa (CoRR, 2024)

General surgery vision transformer: A video pre-trained foundation model for general surgery. - Samuel Schmidgall; Ji Woong Kim; Jeffrey Jopling; Axel Krieger (CoRR, 2024)

AgentClinic: a multimodal agent benchmark to evaluate AI in simulated clinical environments. - Samuel Schmidgall; Rojin Ziaei; Carl Harris; Eduardo Pontes Reis; Jeffrey Jopling; Michael Moor (CoRR, 2024)

GP-VLS: A general-purpose vision language model for surgery. - Samuel Schmidgall; Joseph Cho; Cyril Zakka; William Hiesinger (CoRR, 2024)

SurGen: Text-Guided Diffusion Model for Surgical Video Generation. - Joseph Cho; Samuel Schmidgall; Cyril Zakka; Mrudang Mathur; Rohan Shad; William Hiesinger (CoRR, 2024)

General-purpose foundation models for increased autonomy in robot-assisted surgery. - Samuel Schmidgall; Ji Woong Kim; Alan Kuntz; Ahmed Ezzat Ghazi; Axel Krieger (Nat. Mac. Intell., 2024)

Evaluation and mitigation of cognitive biases in medical language models. - Samuel Schmidgall; Carl Harris; Ime Essien; Daniel Olshvang; Tawsifur Rahman; Ji Woong Kim; Rojin Ziaei; Jason Eshraghian; Peter Abadir; Rama Chellappa (npj Digit. Medicine, 2024)

SRT-H: A hierarchical framework for autonomous surgery via language-conditioned imitation learning. - Ji Woong Kim; Juo-Tung Chen; Pascal Hansen; Lucy Xiaoyang Shi; Antony Goldenberg; Samuel Schmidgall; Paul Maria Scheikl; Anton Deguet; Brandon M. White; De Ru Tsai; Richard Jaepyeong Cha; Jeffrey Jopling; et al. (Sci. Robotics, 2025)

Will your next surgeon be a robot? Autonomy and AI in robotic surgery. - Samuel Schmidgall; Justin D. Opfermann; Ji Woong Kim; Axel Krieger (Sci. Robotics, 2025)

Agent Laboratory: Using LLM Agents as Research Assistants. - Samuel Schmidgall; Yusheng Su; Ze Wang 008; Ximeng Sun; Jialian Wu; Xiaodong Yu; Jiang Liu 014; Zicheng Liu 001; Emad Barsoum (CoRR, 2025)

Surgical Gaussian Surfels: Highly Accurate Real-time Surgical Scene Rendering. - Idris O. Sunmola; Zhenjun Zhao; Samuel Schmidgall; Yumeng Wang; Paul Maria Scheikl; Axel Krieger (CoRR, 2025)

AgentRxiv: Towards Collaborative Autonomous Research. - Samuel Schmidgall; Michael Moor (CoRR, 2025)

TxGemma: Efficient and Agentic LLMs for Therapeutics. - Eric Wang; Samuel Schmidgall; Paul F. Jaeger; Fan Zhang; Rory Pilgrim; Yossi Matias; Joelle K. Barral; David J. Fleet; Shekoofeh Azizi (CoRR, 2025)

SRT-H: A Hierarchical Framework for Autonomous Surgery via Language Conditioned Imitation Learning. - Ji Woong Kim; Juo-Tung Chen; Pascal Hansen; Lucy X. Shi; Antony Goldenberg; Samuel Schmidgall; Paul Maria Scheikl; Anton Deguet; Brandon M. White; De Ru Tsai; Richard Jaepyeong Cha; Jeffrey Jopling; et al. (CoRR, 2025)

MedGemma Technical Report. - Andrew Sellergren; Sahar Kazemzadeh; Tiam Jaroensri; Atilla P. Kiraly; Madeleine Traverse; Timo Kohlberger; Shawn Xu; Fayaz Jamil; Cían Hughes; Charles Lau; Justin Chen; Fereshteh Mahvar; et al. (CoRR, 2025)