Jacob K. Christopher
- Speculative Diffusion Decoding: Accelerating Language Generation through Diffusion
2024/08/10 by Jacob K. Christopher, Brian R. Bartoldson, Christopher, Jacob K +5 · 13 citations
Computer Science · #Natural Language Processing Techniques
- Simultaneous Multi-Robot Motion Planning with Projected Diffusion Models
2025/02/05 by Jinhao Liang, Jacob K. Christopher, Liang, Jinhao +5 · 14 citations
Computer Science · #Robotic Path Planning Algorithms
- Training-Free Constrained Generation With Stable Diffusion Models
2025/02/08 by Stefano Zampini, Jacob K. Christopher, Zampini, Stefano +7 · 6 citations
Engineering · #FOS: Computer and information sciences #Iterative Learning Control Systems #Machine Learning (cs.LG)
- Multi-Agent Path Finding in Continuous Spaces with Projected Diffusion Models
2024/12/23 by Jinhao Liang, Jacob K. Christopher, Liang, Jinhao +5 · 2 citations
Computer Science · #Robotic Path Planning Algorithms #Distributed Control Multi-Agent Systems #Optimization and Search Problems
- Neuro-Symbolic Generative Diffusion Models for Physically Grounded, Robust, and Safe Generation
2025/06/01 by Jacob K. Christopher, Michael Cardei, Christopher, Jacob K. +5 · 4 citations
Neuroscience · Computer Science · #Cognitive Science and Education Research #Neural Networks and Applications
- SpecDiff-2: Scaling Diffusion Drafter Alignment For Faster Speculative Decoding
2025/11/01 by Jameson Sandler, Sandler, Jameson, Jacob K. Christopher +5 · 3 citations
Computer Science · Social Sciences · #Computation and Language (cs.CL) #Computational and Text Analysis Methods #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Topic Modeling
- Constrained Discrete Diffusion
2025/03/12 by Michael Cardei, Cardei, Michael, Jacob K. Christopher +8 · 1 citation
Computer Science · Materials Science · Physics and Astronomy · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning in Materials Science #Model Reduction and Neural Networks