Jacob Christopher
PhD Student in Computer Science
Focus: Generative AI, Responsible AI, Differentiable Optimization
About Me
I am a Ph.D. student in Computer Science at the University of Virginia, working under the guidance of Dr. Ferdinando Fioretto. My research focuses on developing innovative approaches in generative AI, responsible AI, and differentiable optimization. I'm particularly interested in creating compliant AI systems for scientific and engineering applications.
Research Interests
- Generative AI: Developing novel approaches for constrained generation and diffusion models, enabling applications in real-world, safety-critical domains.
- Responsible AI: Ensuring AI systems are ethical, transparent, and aligned with human values by providing formal guarantees as to compliance with these values.
- Differentiable Optimization: Bridging the gap between machine learning and mathematical optimization with fundamental approaches.
Latest Updates
February 2025
Paper accepted to NAACL 2025: "Speculative Diffusion Decoding: Accelerating Language Generation through Diffusion"
December 2024
Paper accepted for oral presentation at two AAAI 2025 workshops: "Multi-Agent Path Finding in Continuous Spaces with Projected Diffusion Models"
October 2024
Paper accepted to NeurIPS 2024: "Constrained Synthesis with Projected Diffusion Models"