3 papers
cs.LG2026
Gradient-Based Program Synthesis with Neurally Interpreted Languages
Matthew V. Macfarlane, Clément Bonnet, Herke van Hoof +1
A central challenge in program induction has long been the trade-off between symbolic and neural approaches. Symbolic methods offer compositional generalisation and data efficiency…
cs.LG2025
Searching Latent Program Spaces
Matthew V Macfarlane, Clement Bonnet
General intelligence requires systems that acquire new skills efficiently and generalize beyond their training distributions. Although program synthesis approaches have strong gene…
cs.CV2024
From Text to Pose to Image: Improving Diffusion Model Control and Quality
Clément Bonnet, Ariel N. Lee, Franck Wertel +3
In the last two years, text-to-image diffusion models have become extremely popular. As their quality and usage increase, a major concern has been the need for better output contro…