SketchOGD: Memory-Efficient Continual Learning. (arXiv:2305.16424v1 [cs.LG]) ift.tt/ywtx0QS

Professor Navid Azizan has been selected as the 2023 Outstanding UROP Faculty Mentor. UROP (Undergraduate Research Opportunities Program) students nominate research mentors who have demonstrated exceptional guidance and teaching in a research setting each spring.

If you are at #ICML2023, check out our oral by Spencer M. Richards! Schedule: icml.cc/virtual/2023/o…

A new machine-learning technique can efficiently learn to control a robot, leading to better performance. Using this method, “we’re able to naturally create controllers that function much more effectively in the real world,” Navid Azizan says. mitsha.re/QK9p50PmHxG

📢 Still a few days left to apply for our postdoc position: idss.mit.edu/postdoctoral-s… Candidates who wish to be considered for the "MIT Postdoctoral Fellowship for Engineering Excellence" may also apply here and list my name: engineering.mit.edu/the-mit-postdo… Deadline: Jan 31 Massachusetts Institute of Technology (MIT) MIT Schwarzman College of Computing

Introducing Instance-Adaptive Inference-Time Scaling! Paper: arxiv.org/abs/2506.09338 Code: github.com/azizanlab/inst…