Our work speaks for itself

Take a look at a selection of our recent projects, crafted with care and designed to make an impact. Each one tells a story of creativity, collaboration, and results.

Title Hub researchers listed as authors URL
A Diffusive Classification Loss for Learning Energy-based Generative Models José Miguel Hernández‑Lobato arXiv
CCDb+: Enhanced Annotations and Multi-Modal Benchmark for Natural Dyadic Conversations Yukun Lai ACM Multimedia
CREPE: Controlling Diffusion with Replica Exchange José Miguel Hernández‑Lobato arXiv
DiffRatio: Training One-Step Diffusion Models Without Teacher Supervision Mingtian Zhang; José Miguel Hernández‑Lobato; David Barber arXiv
Domain-Adapted Diffusion Model for PROTAC Linker Design Through the Lens of Density Ratio Zixing Song; José Miguel Hernández‑Lobato OpenReview
Efficient Deconvolution in Populational Inverse Problems Mark Girolami arXiv
EnvSDD: Benchmarking Environmental Sound Deepfake Detection Mark D. Plumbley arXiv
FedEDM: Federated Equivariant Diffusion Model for 3D Molecule Generation with Enhanced Communication Efficiency Zixing Song; José Miguel Hernández‑Lobato ACM
LGA-Net: Learning Local and Global Affinities for Sparse Scribble-based Image Colorization Yukun Lai ICCV / CVF ICCV
Neural Mutual Information Estimation with Vector Copulas Michael U. Gutmann arXiv
RESCUE: Crowd Evacuation Simulation via Controlling SDM-United Characters Yukun Lai ICCV / CVF ICCV
Single-Image 3D Human Reconstruction with 3D-Aware Diffusion Priors and Facial Enhancement Yukun Lai SIGGRAPH Asia
Softly Constrained Denoisers for Diffusion Models Samuel Kaski; Mingfei Sun OpenReview
Summary of The Inaugural Music Source Restoration Challenge Mark D. Plumbley arXiv
Towards Reliable Objective Evaluation Metrics for Generative Singing Voice Separation Models Mark D. Plumbley IEEE Xplore
Track and Tweak: Monitoring and Improving Group Fairness for Temporal Graph Neural Networks in Real Time Zixing Song; José Miguel Hernández‑Lobato ACM KDD
BiBBDM: Bidirectional Image Translation With Brownian Bridge Diffusion Models Yukun Lai IEEE TPAMI