Adding FCI approval and contributor handles

README.md

@@ -1,13 +1,26 @@
-# Renovating Monte Carlo (RMC)
+# Renovated Monte Carlo (RMC)
 
 **RMC** is a Python library for sampling from high-dimensional distributions via Monte Carlo-like algorithms as well as advanced AI/ML-based generative models.
 
+**RMC** is part of the FY25 LDRD-ER project "Generative Modeling for Sampling" (20250391ER)
+
+**RMC** has been approved for public release by the Feynman Innovation Center (O#=O4918)
+
+© 2025. Triad National Security, LLC. All rights reserved.
+This program was produced under U.S. Government contract 89233218CNA000001 for Los Alamos National Laboratory (LANL), which is operated by Triad National Security, LLC for the U.S. Department of Energy/National Nuclear Security Administration. All rights in the program are reserved by Triad National Security, LLC, and the U.S. Department of Energy/National Nuclear Security Administration. The Government is granted for itself and others acting on its behalf a nonexclusive, paid-up, irrevocable worldwide license in this material to reproduce, prepare. derivative works, distribute copies to the public, perform publicly and display publicly, and to permit others to do so.
+
+
 ## Documentation
 To build code documentation use the sphinx package. Under docs folder execute
 
 ```
+make clean
 make html
 ```
 
 ## Authors and acknowledgment
-Contributors: dev group.
+
+Authors/developers: Cristina Garcia-Cardona (@crstngc), Pratik Khandagale(@pkhandag), Yen Ting Lin (@dblueeye)
+
+Affiliation: Information Sciences Group (CCS/CAI-3), Los Alamos National Laboratory
+

weekly-log.md

@@ -1,15 +1,25 @@
+**3/4/26**
+
+- Going through PIS theory, path-measure, etc.
+
+- [ ] PK postponed first draft of WGF to 4/21 
+
+**2/25/26**
+
+- Going through PIS pseudocode.
+
 **2/18/26**
 
 - [ ] AFTMC (CRAFT-MC, 2017 Gibbs Flow [Heng?]): NF (not continuous time), SMC in between
 - [ ] PIS: Wiener process but the optimization is in path 
   - [ ] Fix 2D, GM
-  - [ ] YT Pseudocode -> CGC
-  - [ ] Review theory (change of measure), checkpoint next week 2/15 (YT, CGC, PK)
+  - [x] YT Pseudocode -> CGC
+  - [x] Review theory (change of measure), checkpoint next week 2/15 (YT, CGC, PK)
 - [ ] DDS: Ornstein-Uhlenbeck process but the optimization is in the path as well
 - [ ] Adjoint methods, also in the path measure
 - [ ] Various flow-matching methods
 
-- [ ] Clean repo, fork/deposit, public... (YT)
-- [ ] 4 issues to be submitted (YT) -> CGC
-- [ ] YT to process *Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching* and Progressive Inference-Time Annealing of Diffusion Models for Sampling from Boltzmann Densities
+- [x] Clean repo, fork/deposit, public... (YT)
+- [x] 4 issues to be submitted (YT) -> CGC
+- [ ] YT to process *Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching* and *Progressive Inference-Time Annealing of Diffusion Models for Sampling from Boltzmann Densities*
 - [ ] (PK) 4/11/26, first draft in a submittable form