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ORCIDSamuel Schmidgall
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2020 – today
- 2024
[c5]Samuel Schmidgall, Axel Krieger, Jason Eshraghian:
Surgical Gym: A high-performance GPU-based platform for reinforcement learning with surgical robots. ICRA 2024: 13354-13361- [i19]Samuel Schmidgall, Ji Woong Kim, Alan Kuntz, Ahmed Ezzat Ghazi, Axel Krieger:
General-purpose foundation models for increased autonomy in robot-assisted surgery. CoRR abs/2401.00678 (2024) - [i18]Samuel Schmidgall, Carl Harris, Ime Essien, Daniel Olshvang, Tawsifur Rahman, Ji Woong Kim, Rojin Ziaei, Jason Eshraghian
, Peter Abadir, Rama Chellappa:
Addressing cognitive bias in medical language models. CoRR abs/2402.08113 (2024) - [i17]Samuel Schmidgall, Ji Woong Kim, Jeffrey Jopling, Axel Krieger:
General surgery vision transformer: A video pre-trained foundation model for general surgery. CoRR abs/2403.05949 (2024) - [i16]Samuel Schmidgall, Rojin Ziaei, Carl Harris, Eduardo Pontes Reis, Jeffrey Jopling, Michael Moor:
AgentClinic: a multimodal agent benchmark to evaluate AI in simulated clinical environments. CoRR abs/2405.07960 (2024) - [i15]Ji Woong Kim, Tony Z. Zhao, Samuel Schmidgall, Anton Deguet, Marin Kobilarov, Chelsea Finn, Axel Krieger:
Surgical Robot Transformer (SRT): Imitation Learning for Surgical Tasks. CoRR abs/2407.12998 (2024) - [i14]Samuel Schmidgall, Joseph Cho, Cyril Zakka, William Hiesinger:
GP-VLS: A general-purpose vision language model for surgery. CoRR abs/2407.19305 (2024) - [i13]Joseph Cho, Samuel Schmidgall, Cyril Zakka, Mrudang Mathur, Rohan Shad, William Hiesinger:
SurGen: Text-Guided Diffusion Model for Surgical Video Generation. CoRR abs/2408.14028 (2024) - 2023
- [c4]Samuel Schmidgall, Joe Hays:
Synaptic motor adaptation: A three-factor learning rule for adaptive robotic control in spiking neural networks. ICONS 2023: 1:1-1:9 - [i12]Samuel Schmidgall, Jascha Achterberg, Thomas Miconi, Louis Kirsch, Rojin Ziaei, S. Pardis Hajiseyedrazi, Jason Eshraghian:
Brain-inspired learning in artificial neural networks: a review. CoRR abs/2305.11252 (2023) - [i11]Samuel Schmidgall, Joe Hays:
Synaptic motor adaptation: A three-factor learning rule for adaptive robotic control in spiking neural networks. CoRR abs/2306.01906 (2023) - [i10]Rojin Ziaei, Samuel Schmidgall:
Language models are susceptible to incorrect patient self-diagnosis in medical applications. CoRR abs/2309.09362 (2023) - [i9]Samuel Schmidgall, Axel Krieger, Jason Eshraghian:
Surgical Gym: A high-performance GPU-based platform for reinforcement learning with surgical robots. CoRR abs/2310.04676 (2023) - 2022
- [c3]Samuel Schmidgall, Joe Hays:
Stable Lifelong Learning: Spiking neurons as a solution to instability in plastic neural networks. NICE 2022: 1-7 - [i8]Samuel Schmidgall, Joe Hays:
Learning to learn online with neuromodulated synaptic plasticity in spiking neural networks. CoRR abs/2206.12520 (2022) - [i7]Samuel Schmidgall, Catherine D. Schuman, Maryam Parsa:
Biological connectomes as a representation for the architecture of artificial neural networks. CoRR abs/2209.14406 (2022) - 2021
- [j1]Samuel Schmidgall, Julia Ashkanazy, Wallace Lawson, Joe Hays:
SpikePropamine: Differentiable Plasticity in Spiking Neural Networks. Frontiers Neurorobotics 15: 629210 (2021) - [c2]Anton Lukyanenko, Heath Camphire, Avery Austin, Samuel Schmidgall, Damoon Soudbakhsh:
Optimal Localized Trajectory Planning of Multiple Non-holonomic Vehicles. CCTA 2021: 820-825 - [i6]Samuel Schmidgall:
Self-Constructing Neural Networks Through Random Mutation. CoRR abs/2103.15692 (2021) - [i5]Samuel Schmidgall, Julia Ashkanazy, Wallace Lawson, Joe Hays:
SpikePropamine: Differentiable Plasticity in Spiking Neural Networks. CoRR abs/2106.02681 (2021) - [i4]Samuel Schmidgall, Joseph Hays:
Evolutionary Self-Replication as a Mechanism for Producing Artificial Intelligence. CoRR abs/2109.08057 (2021) - [i3]Samuel Schmidgall:
Self-Replicating Neural Programs. CoRR abs/2109.12786 (2021) - [i2]Samuel Schmidgall, Joe Hays:
Stable Lifelong Learning: Spiking neurons as a solution to instability in plastic neural networks. CoRR abs/2111.04113 (2021) - 2020
- [c1]Samuel Schmidgall:
Adaptive reinforcement learning through evolving self-modifying neural networks. GECCO Companion 2020: 89-90 - [i1]Samuel Schmidgall:
Adaptive Reinforcement Learning through Evolving Self-Modifying Neural Networks. CoRR abs/2006.05832 (2020)
Coauthor Index
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