Mediaspace scheduled maintenance: Aug 25, 2026 07:00 - 12:00 AM. During this time, videos will be temporarily unavailable. Check status updates.

Home

Lecture

Machine Learning for Medicine: Insights and Interpretability

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (36)

Understanding Machine Learning: Exactly Solvable Models Log in to Mediaspace to watch this video

Explores machine learning through solvable models, covering sample complexity, neural networks, and computational gaps.

Deep Learning Fundamentals Log in to Mediaspace to watch this video

Introduces deep learning fundamentals, covering data representations, neural networks, and convolutional neural networks.

Machine Learned Interatomic Potentials Log in to Mediaspace to watch this video

Delves into machine learned interatomic potentials, showcasing their accuracy and cost-effectiveness in predicting chemical properties.

Machine Learning for Feature Extraction Log in to Mediaspace to watch this video

Explores machine learning for feature extraction, 3D vision, and neural networks in mobile robotics.

Neural Networks Convergence Log in to Mediaspace to watch this video

Explores neural networks convergence through parameter fitting and alternating regret, with a focus on the NeurIPS 2023 event at EPFL.

Neural Networks: Perceptron Model and Backpropagation Algorithm Log in to Mediaspace to watch this video

Covers the perceptron model and backpropagation algorithm in neural networks.

Neural Networks for NLP Log in to Mediaspace to watch this video

Covers modern Neural Network approaches to NLP, focusing on word embeddings, Neural Networks for NLP tasks, and future Transfer Learning techniques.

Neural Networks: Training and Optimization Log in to Mediaspace to watch this video

Explores the training and optimization of neural networks, addressing challenges like non-convex loss functions and local minima.

Deep Learning: Principles and Applications Log in to Mediaspace to watch this video

Covers the fundamentals of deep learning, including data, architecture, and ethical considerations in model deployment.

Optical Machine Learning: Harnessing Multiple Scattering for Efficiency Log in to Mediaspace to watch this video

Explores the use of optics in machine learning, focusing on large-scale random matrix multiplication through multiple scattering of light.

Learning from the Interconnected World with Graphs Log in to Mediaspace to watch this video

Explores learning from interconnected data using graphs, covering challenges, GNN design, research landscapes, and democratization of Graph ML.

Transformers in Robotics: Applications and Innovations Log in to Mediaspace to watch this video

Covers the use of transformers in robotics, focusing on embodied perception and innovative applications in humanoid locomotion and reinforcement learning.

Deep Learning: Exploring Vision and Language Transformers Log in to Mediaspace to watch this video

Covers advanced transformer architectures in deep learning, focusing on Swin, HUBERT, and Flamingo models for multimodal applications.

Curse of Dimensionality in Deep Learning Log in to Mediaspace to watch this video

Delves into the challenges of deep learning, exploring dimensionality, performance, and overfitting phenomena in neural networks.

Neuroscience and ML Log in to Mediaspace to watch this video

Explores the intersection between neuroscience and machine learning, discussing deep learning, reinforcement learning, memory systems, and the future of bridging machine and human-level intelligence.

Dynamical modeling, decoding, and control of multiscale brain network activity Log in to Mediaspace to watch this video

Explores dynamical modeling, decoding, and control of brain network activity for personalized therapy.

Page 2 of 2