In this paper, we have presented SHEEP, a spectral embedding algorithm for finding proximal relationships between nodes in signed networks. The method is based on a physically inspired model: we construct a Hamiltonian that assigns attractive and repulsive forces to the positive and negative edges in...
It can come up creatively with its own analysis. So that’s one aspect—differently coding data analysis. It can be very easily superhuman. I think in terms of writing, its writing capabilities are just astounding. For example, in the paper, we asked it many times to...
This semester, I decided to replace the final exam in one of my upper-level graduate courses with a short 15 minute presentation on a scientific paper related to the course topic. To give the students some guidance, I provided a list of my tips for given short conference presentations, and...
Nikunj Raghuvanshi: So, a little bit of history on this is, we had a paper SIGGRAPH 2010, me and John Snyder and some academic collaborators, and at that point, we were trying to think of just physical accuracy. So, we took the physical data and we were trying to stay as c...
I would like to engage the wise counsel of the LF community to post the link to what they feel is the best LENR paper in their mind. The goal here is to critique this paper communally so that in the future we improve the chances of publishing a LENR…