Done with a week of riding my bike around:
On a related note, in talking to the other members of the group about the dissertation and research, the resonant points seem to involve network density and stiffness, and the mathematical similarities of animal motion and human text usage
7:30 – 3:30 ASRC NASA GEOS
- Working on the JASSS submission process. Need to get 100-word bios for all authors
- When submitting your article through the web (see below), you will also be asked to provide:
- the names, affiliations, addresses, home web pages and emails addresses of all authors;
- a brief biography (about 100 words) for each of the authors;
- confirmation that the article has not been published or submitted elsewhere for publication.
- Re-did the waveforms for DTW with the full data and 100 samples. I’ll fire it up on the way out the door today
- Starting to build an automated pipeline for producing time-series data for ML
- Started meta-skills document
Finished the DTW run and uploaded.
Good video on population-based search: ICML 2019 Tutorial: Recent Advances in Population-Based Search for Deep Neural Networks
7:00 – 3:00 ASRC PM Summit
- 75th anniversary of D-day
- Research talk today at the conference. Much networking yesterday.
- The talk went well. More opportunities for networking. Mayne some ML for 3D printing?
- Copied the CHIPLAY paper to a new GROUP 2020 folder and change to the acm small article format
- Simplicial models of social contagion
- Complex networks have been successfully used to describe the spread of diseases in populations of interacting individuals. Conversely, pairwise interactions are often not enough to characterize social contagion processes such as opinion formation or the adoption of novelties, where complex mechanisms of influence and reinforcement are at work. Here we introduce a higher-order model of social contagion in which a social system is represented by a simplicial complex and contagion can occur through interactions in groups of different sizes. Numerical simulations of the model on both empirical and synthetic simplicial complexes highlight the emergence of novel phenomena such as a discontinuous transition induced by higher-order interactions. We show analytically that the transition is discontinuous and that a bistable region appears where healthy and endemic states co-exist. Our results help explain why critical masses are required to initiate social changes and contribute to the understanding of higher-order interactions in complex systems.
- This is wild: Randomly wired neural networks and state-of-the-art accuracy? Yes it works.
- This is sad: Training a single AI model can emit as much carbon as five cars in their lifetimes
- Came home and slept 2 1/2 hours. Very cooked.
7:00 – 4:00 ASRC NASA GEOS
- Continuing to read Colin Martindale’s Cognitive Psychology, a Neural Network Approach, which is absolutely bonkers for something written decades ago. Ordered two more copies.
- JASSS Paper. Adding footnotes to figures, which is tricky.
- Took the chapter numbers out of the file names, since these things seem to be sliding around quite a bit
- Registered for Politics and Computational Social Science (PACSS) Conference
- GROUP paper?
- Waveform clustering
- Adding noise to the float_functions class. Here’s the waveform without and with some (0.1) noise:
- Installed fastdtw for python
- DTW is working on the lines in the csv. Identical lines have zero distance, noise has some. Need to think about some kind of normalizing measure. Maybe divide by the number of points?
- Need to iterate as nested loops over all the rows. Skip when i == j – done
- Need to build a Dataframe of distances from one row to the next – done
- Here are the two curves to compare:
- And here’s the DTW result:
- Good Waikato meeting. We’ll try to run a jury next week. Also, meetings have been moved to 6:30 EST