Institute for Pure & Applied Mathematics (IPAM) Courses

Trustworthy Deep Learning

Explore robust, accurate, efficient, and private deep learning with theoretical guarantees, drawing insights from differential equations for trustworthy AI applications.

• YouTube
• 32 minutes
• On-Demand
• Free Video

Splines and Imaging - From Compressed Sensing to Deep Neural Networks

Explore splines in imaging, from compressed sensing to deep neural networks. Unser demonstrates spline optimality in inverse problems and their connection to deep learning, offering insights into ReLU architecture and activation optimization.

• YouTube
• 49 minutes
• On-Demand
• Free Video

Microbiome of the Built Environment

Explore the microbiome's role in built environments, its impact on human health, and the dynamic interactions between microbes, humans, and spaces. Gain insights into cutting-edge research and applications.

• YouTube
• 37 minutes
• On-Demand
• Free Video

Understanding Quantum Machine Learning Also Requires Rethinking Generalization

Explores challenges in understanding generalization in quantum machine learning, revealing limitations of traditional approaches and the need for new paradigms in model design and evaluation.

• YouTube
• 44 minutes
• On-Demand
• Free Video

Exponential Separations Between Classical and Quantum Learners - IPAM at UCLA

Explore exponential advantages of quantum learning algorithms over classical ones, including new results from complex quantum systems and restricted quantum capabilities in training stages.

• YouTube
• 52 minutes
• On-Demand
• Free Video

Quantum Statistical Query Learning II of II - IPAM at UCLA

Explores quantum statistical query learning, comparing it to quantum PAC models. Discusses lower bounds, separation results, and potential applications in quantum learning theory.

• YouTube
• 44 minutes
• On-Demand
• Free Video

Quantum Statistical Query Learning I of II - IPAM at UCLA

Explore quantum statistical query learning, its comparison to quantum PAC models, and key results in function learning and measurement types. Gain insights into QSQ lower bounds and proof strategies.

• YouTube
• 46 minutes
• On-Demand
• Free Video

The Role of Data, Precomputation, and Communication in a Quantum Learning Landscape

Explore quantum computing's impact on data analysis, learning from quantum systems, and the interplay between quantum data and computation in distributed systems.

• YouTube
• 48 minutes
• On-Demand
• Free Video

On Quantum Backpropagation and Information Reuse - IPAM at UCLA

Explores quantum backpropagation and information reuse in parameterized quantum models, challenging assumptions about quantum measurement collapse and discussing implications for scaling quantum learning algorithms.

• YouTube
• 35 minutes
• On-Demand
• Free Video

Language Models for Quantum Simulation - IPAM at UCLA

Explore how language models like GPT are revolutionizing quantum simulation, with focus on their application in learning quantum states in Rydberg atom arrays and potential impact on quantum computing.

• YouTube
• 59 minutes
• On-Demand
• Free Video

Learning of Neural Networks with Quantum Computers and Learning of Quantum States with Graphical Models

Explores quantum algorithms for neural network learning and quantum state learning using graphical models, showcasing advancements in computational efficiency and sample complexity for specific quantum states.

• YouTube
• 52 minutes
• On-Demand
• Free Video

Signal and Noise - Learning with Random Quantum Circuits and Other Agents of Chaos

Explores quantum learning in noisy computation, discussing error mitigation limitations and the surprising benefits of non-unital noise in quantum machine learning, challenging conventional understanding.

• YouTube
• 39 minutes
• On-Demand
• Free Video

Training Binary Neural Networks in Quantum Superposition - IPAM at UCLA

Explore quantum hypernetworks for training binary neural networks, unifying parameter, hyperparameter, and architecture optimization in a single quantum-based approach for efficient deep learning deployment.

• YouTube
• 50 minutes
• On-Demand
• Free Video

How to Rethink Quantum Machine Learning - IPAM at UCLA

Explore the intersection of quantum computing and machine learning, challenging conventional approaches and examining core quantum routines from a generalization perspective.

• YouTube
• 43 minutes
• On-Demand
• Free Video

Nathan Wiebe - Quantum Machine Learning

Explore quantum machine learning concepts and applications in this comprehensive lecture by Nathan Wiebe, delving into mathematical aspects and cutting-edge research in the field.

• YouTube
• 1 hour 2 minutes
• On-Demand
• Free Video