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20242026
most citedGenMol: A Drug Discovery Generalist with Discrete Diffusion

4 citations · 20 across the 20 of their papers we have counts for

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cs.LG2024★ 1 cited

Molecule Generation with Fragment Retrieval Augmentation

Seul Lee, Karsten Kreis, Srimukh Prasad Veccham +5

Fragment-based drug discovery, in which molecular fragments are assembled into new molecules with desirable biochemical properties, has achieved great success. However, many fragme…

cs.CV2024

Warped Diffusion: Solving Video Inverse Problems with Image Diffusion Models

Giannis Daras, Weili Nie, Karsten Kreis +4

Using image models naively for solving inverse video problems often suffers from flickering, texture-sticking, and temporal inconsistency in generated videos. To tackle these probl…

cs.LG2024

Multi-student Diffusion Distillation for Better One-step Generators

Yanke Song, Jonathan Lorraine, Weili Nie +2

Diffusion models achieve high-quality sample generation at the cost of a lengthy multistep inference procedure. To overcome this, diffusion distillation techniques produce student…

cs.CL2024★ 1 cited

Energy-Based Diffusion Language Models for Text Generation

Minkai Xu, Tomas Geffner, Karsten Kreis +5

Despite remarkable progress in autoregressive language models, alternative generative paradigms beyond left-to-right generation are still being actively explored. Discrete diffusio…

cs.LG2024

Truncated Consistency Models

Sangyun Lee, Yilun Xu, Tomas Geffner +4

Consistency models have recently been introduced to accelerate sampling from diffusion models by directly predicting the solution (i.e., data) of the probability flow ODE (PF ODE)…

cs.LG2024★ 2 cited

EquiJump: Protein Dynamics Simulation via SO(3)-Equivariant Stochastic Interpolants

Allan dos Santos Costa, Ilan Mitnikov, Franco Pellegrini +7

Mapping the conformational dynamics of proteins is crucial for elucidating their functional mechanisms. While Molecular Dynamics (MD) simulation enables detailed time evolution of…

cs.LG2024

DisCo-Diff: Enhancing Continuous Diffusion Models with Discrete Latents

Yilun Xu, Gabriele Corso, Tommi Jaakkola +2

Diffusion models (DMs) have revolutionized generative learning. They utilize a diffusion process to encode data into a simple Gaussian distribution. However, encoding a complex, po…

q-bio.BM2024★ 4 cited

Aligning Target-Aware Molecule Diffusion Models with Exact Energy Optimization

Siyi Gu, Minkai Xu, Alexander Powers +6

Generating ligand molecules for specific protein targets, known as structure-based drug design, is a fundamental problem in therapeutics development and biological discovery. Recen…