Valence Labs Courses

Artificial Chemical Intelligence: AI for Chemistry and Chemistry for AI

2 ratings

Explore the integration of AI with chemistry, focusing on trustworthy frameworks for molecular discovery. Learn about innovative approaches to predict mechanisms and overcome challenges in computational chemistry.

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

Multimodal Deep Learning for Protein Engineering

1 rating

Explore multimodal deep learning for protein engineering, covering sequence-based models, structural approaches, and biophysical features to predict and generate functional proteins.

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

scVIVA - A Probabilistic Framework for Representation of Cells and Their Environments

Discover scVIVA, a deep generative model for spatial transcriptomics that embeds cells using both intrinsic and neighboring gene expression to reveal tissue niches and cell states.

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

SLAE - Strictly Local All-atom Environment for Protein Representation

Discover SLAE, a novel all-atom framework for protein representation learning using local atomic neighborhoods, achieving state-of-the-art performance in structural biology tasks.

• YouTube
• 1 hour 4 minutes
• Self-Paced
• Free Video

How to Build a Consistency Model - Learning Flow Maps via Self-Distillation

Discover a unified framework for training consistency models that eliminates pre-trained teachers through self-distillation, featuring novel Lagrangian methods for stable generative modeling.

• YouTube
• 1 hour 16 minutes
• Self-Paced
• Free Video

scAgents - A Multi-Agent Framework for Fully Autonomous End-to-End Single-Cell Perturbation Analysis

Discover how scAgents revolutionizes single-cell genomics through autonomous multi-agent AI that transforms raw data into optimized models, outperforming existing methods by up to 49%.

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

Efficient Generation of Epitope-Targeted De Novo Antibodies with Germinal

Discover how Germinal revolutionizes antibody design by generating epitope-targeted antibodies with nanomolar binding affinities using AI-driven structure and sequence optimization.

• YouTube
• 1 hour 9 minutes
• Self-Paced
• Free Video

Calibrating Generative Models to Distributional Constraints

Discover how to fix generative model miscalibration using constrained optimization, with practical applications in protein design, image generation, and language modeling.

• YouTube
• 1 hour 9 minutes
• Self-Paced
• Free Video

Consistent Sampling and Simulation - Molecular Dynamics with Energy-Based Diffusion Models

Explore energy-based diffusion models for molecular dynamics, addressing score inconsistencies through Fokker-Planck regularization for improved biomolecular sampling.

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

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models

Explore advanced latent diffusion models for generating single-cell gene expression data at scale, enhancing computational biology and drug discovery research capabilities.

• YouTube
• 1 hour 18 minutes
• Self-Paced
• Free Video

Self-Speculative Masked Diffusions

Discover how self-speculative masked diffusions reduce computational burden in discrete data generation by 2x through non-factorized predictions and novel speculative sampling.

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

Protein Hunter - Exploiting Structure Hallucination Within Diffusion for Protein Design

Discover a fast, fine-tuning-free framework for de novo protein design using diffusion models to create binders for proteins, peptides, small molecules, DNA, and RNA through iterative optimization.

• YouTube
• 1 hour 14 minutes
• Self-Paced
• Free Video

Modeling Complex System Dynamics with Flow Matching Across Time and Conditions

Discover Multi-Marginal Flow Matching for modeling complex system dynamics across time and experimental conditions, with applications in gene regulation and single-cell genomics data imputation.

• YouTube
• 1 hour 13 minutes
• Self-Paced
• Free Video

Branched Schrödinger Bridge Matching

Explore a novel framework for modeling branched stochastic paths between distributions, enabling multi-path transitions and cellular fate predictions in AI drug discovery.

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

Virtual Cells - Predict, Explain, Discover

Explore AI-driven virtual cell models that predict cellular responses to treatments, accelerating drug discovery through computational simulation and biological insights.

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