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Samuel Schmidgall
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Brain-inspired learning in artificial neural networks: a review
S Schmidgall, R Ziaei, J Achterberg, L Kirsch, S Hajiseyedrazi, ...
APL Machine Learning 2 (2), 2024
622024
NeuroBench: A Framework for Benchmarking Neuromorphic Computing Algorithms and Systems
J Yik, KV Berghe, D Blanken, Y Bouhadjar, M Fabre, P Hueber, D Kleyko, ...
arXiv preprint arXiv:2304.04640, 2023
42*2023
AgentClinic: a multimodal agent benchmark to evaluate AI in simulated clinical environments
S Schmidgall, R Ziaei, C Harris, E Reis, J Jopling, M Moor
arXiv preprint arXiv:2405.07960, 2024
322024
Addressing cognitive bias in medical language models
S Schmidgall, C Harris, I Essien, D Olshvang, T Rahman, JW Kim, R Ziaei, ...
arXiv preprint arXiv:2402.08113, 2024
252024
Surgical Robot Transformer (SRT): Imitation Learning for Surgical Subtasks
JW Kim, TZ Zhao, S Schmidgall, A Deguet, M Kobilarov, C Finn, A Krieger
8th Annual Conference on Robot Learning, 2024
16*2024
Surgical Gym: A high-performance GPU-based platform for reinforcement learning with surgical robots
S Schmidgall, A Krieger, J Eshraghian
2024 IEEE International Conference on Robotics and Automation (ICRA), 2023
142023
SpikePropamine: Differentiable Plasticity in Spiking Neural Networks
S Schmidgall, J Ashkanazy, W Lawson, J Hays
Frontiers in Neurorobotics, 2021
112021
Language models are susceptible to incorrect patient self-diagnosis in medical applications
R Ziaei, S Schmidgall
NeurIPS 2023 Deep Generative Models for Healthcare Workshop, 2023, 2023
102023
Meta-SpikePropamine: Learning to learn with synaptic plasticity in spiking neural networks
S Schmidgall, J Hays
Frontiers in Neuroscience 17, 671, 2023
10*2023
Adaptive Reinforcement Learning through Evolving Self-Modifying Neural Networks
S Schmidgall
Proceedings of the 2020 Genetic and Evolutionary Computation Conference …, 2020
92020
General surgery vision transformer: A video pre-trained foundation model for general surgery
S Schmidgall, JW Kim, J Jopling, A Krieger
arXiv preprint arXiv:2403.05949, 2024
72024
Surgen: Text-guided diffusion model for surgical video generation
J Cho, S Schmidgall, C Zakka, M Mathur, D Kaur, R Shad, W Hiesinger
arXiv preprint arXiv:2408.14028, 2024
62024
Gp-vls: A general-purpose vision language model for surgery
S Schmidgall, J Cho, C Zakka, W Hiesinger
arXiv preprint arXiv:2407.19305, 2024
62024
Robots learning to imitate surgeons—challenges and possibilities
S Schmidgall, JW Kim, A Krieger
Nature Reviews Urology, 1-2, 2024
52024
Stable Lifelong Learning: Spiking neurons as a solution to instability in plastic neural networks
S Schmidgall, J Hays
Proceedings of the 2022 Neuro-Inspired Computing Elements Conference, 2021
52021
Biological connectomes as a representation for the architecture of artificial neural networks
S Schmidgall, C Schuman, M Parsa
Proceedings of the 2023 AAAI Conference on Artificial Intelligence "Systems …, 2023
42023
General-purpose foundation models for increased autonomy in robot-assisted surgery
S Schmidgall, JW Kim, A Kuntz, AE Ghazi, A Krieger
Nature Machine Intelligence, 1-9, 2024
32024
Synaptic motor adaptation: A three-factor learning rule for adaptive robotic control in spiking neural networks
S Schmidgall, J Hays
Proceedings of the 2023 International Conference on Neuromorphic Systems, 2023
32023
Optimal Localized Trajectory Planning of Multiple Non-holonomic Vehicles
A Lukyanenko, H Camphire, A Austin, S Schmidgall, D Soudbakhsh
2021 IEEE Conference on Control Technology and Applications (CCTA), 820-825, 2021
32021
Learning a Library of Surgical Manipulation Skills for Robotic Surgery
JW Kim, S Schmidgall, A Krieger, M Kobilarov
Bridging the Gap between Cognitive Science and Robot Learning in the Real …, 2023
2*2023
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