Valence Labs Courses

Designing DNA with Tunable Regulatory Activity Using Discrete Diffusion

Explore DNA Discrete Diffusion (D3) for engineering regulatory DNA sequences with targeted functional activity levels. Learn about its advantages, evaluation metrics, and applications in functional genomics.

• YouTube
• 1 hour 19 minutes
• Self-Paced
• Free Video

Metric Flow Matching for Smooth Interpolations on the Data Manifold

Explore Metric Flow Matching for smooth interpolations on data manifolds. Learn about conditional paths, Riemannian metrics, and geodesic interpolants. Discover applications in LiDAR navigation and cellular dynamics modeling.

• YouTube
• 1 hour 10 minutes
• Self-Paced
• Free Video

Scalable Molecular Simulation of Electrolyte Solutions with Quantum Chemical Accuracy

Explore advanced molecular simulation techniques for electrolyte solutions using neural network potentials and DFT, achieving quantum chemical accuracy and revealing novel insights in solution behavior.

• YouTube
• 1 hour 12 minutes
• Self-Paced
• Free Video

Approximately Piecewise E(3) Equivariant Point Networks

Explore APEN: a framework for approximate piecewise-E(3) equivariant point networks, improving generalization in part-based symmetry tasks like room scene analysis and human motion recognition.

• YouTube
• 1 hour 28 minutes
• Self-Paced
• Free Video

gRNAde: Geometric Deep Learning for 3D RNA Inverse Design

Explore gRNAde, a geometric deep learning pipeline for 3D RNA inverse design. Learn about its architecture, use cases, and advantages over traditional methods in RNA sequence design.

• YouTube
• 1 hour 6 minutes
• Self-Paced
• Free Video

Contextual AI Models for Single-cell Protein Biology

Explore PINNACLE, a geometric deep learning approach generating context-aware protein representations for enhanced understanding of protein function and interactions across biological contexts.

• YouTube
• 32 minutes
• Self-Paced
• Free Video

Identifying Representations for Intervention Extrapolation

Explore identifiable representations for intervention extrapolation, improving generalizability in machine learning. Learn theoretical foundations and practical applications through simulations and Q&A.

• YouTube
• 33 minutes
• Self-Paced
• Free Video

The Continuous Language of Protein Structure

Explore a novel approach to protein structure generation using continuous autoregressive language models. Learn about innovative techniques for in silico protein design and their potential applications.

• YouTube
• 56 minutes
• Self-Paced
• Free Video

The Future of Chemistry - Self-Driving Laboratories and AI-Driven Discovery

Explore self-driving laboratories revolutionizing scientific discovery through AI and automation. Learn about cutting-edge applications, key elements, and opportunities in chemistry, materials science, and biotechnology.

• YouTube
• 59 minutes
• Self-Paced
• Free Video

Weisfeiler-Leman for Euclidean Equivariant Machine Learning

Explore Weisfeiler Leman's application in Euclidean equivariant machine learning, focusing on graph neural networks, point clouds, and the WeLNet architecture for improved N-Body dynamics and molecular conformation generation.

• YouTube
• 53 minutes
• Self-Paced
• Free Video

A Causal Inference Framework for Combinatorial Interventions

Explore a novel latent factor model for estimating causal effects of combinatorial interventions, addressing challenges in factorial experiments and recommendation systems.

• YouTube
• 54 minutes
• Self-Paced
• Free Video

Kolmogorov-Arnold Networks - Alternatives to Multi-Layer Perceptrons

Explore Kolmogorov-Arnold Networks as alternatives to MLPs, offering improved accuracy and interpretability in AI. Discover their potential in data fitting, PDE solving, and scientific law discovery.

• YouTube
• 1 hour 35 minutes
• Self-Paced
• Free Video

D-Flow: Differentiating through Flows for Controlled Generation

Explore D-Flow framework for controlled generation in AI models, optimizing source points through flow differentiation. Learn applications in inverse problems and conditional generation.

• YouTube
• 1 hour 3 minutes
• Self-Paced
• Free Video

EquiReact: An Equivariant Neural Network for Chemical Reactions

Explore EquiReact, an equivariant neural network for predicting chemical reaction properties using 3D structures. Learn its advantages in flexibility, extrapolation, and data efficiency.

• YouTube
• 1 hour 1 minute
• Self-Paced
• Free Video

Multimodal Language Models for Mapping the Genotype-Phenotype Relationship

Explore multimodal language models for mapping genotype-phenotype relationships. Learn about integrated genetics frameworks and their applications in analyzing cellular heterogeneity and gene polyfunctionality.

• YouTube
• 57 minutes
• Self-Paced
• Free Video