From 5006ec49d485bac8b8dca146d8c1d4d5383df802 Mon Sep 17 00:00:00 2001 From: Ben Klingher Date: Thu, 2 Apr 2026 13:49:15 -0400 Subject: [PATCH] Update leaderboard --- README.md | 37 +++++++++++++++++++------------------ 1 file changed, 19 insertions(+), 18 deletions(-) diff --git a/README.md b/README.md index cf27bfb..ce0c4fe 100644 --- a/README.md +++ b/README.md @@ -37,24 +37,25 @@ We will review submissions on a rolling basis. | 4 | Leison Gao | 0.0000 | 0.2796 | 50.14s | | | 5 | William Pan | 0.0000 | 0.2848 | 155.33s | | | 6 | Ashmit Dutta | 0.0000 | 0.2870 | 995.58 | Spent my entire morning (12 am - 6 am) doing this :P | -| 7 | Pawan Paleja | 0.0000 | 0.3311 | 1.74s | Implemented hint for loss func, cosine annealing on learning rate with warmup, std annealing on lambda weight. Used optuna to tune hyperparam. Tested on gh codespaces 2-core. | - 8 | Shashank Shriram | 0.0000 | 0.3312 | 11.32 | 🏎️💥 | -| 9 | Gabriel Del Monte | 0.0000 | 0.3427 | 606.07 | | -| 10 | Aleksey Valouev| 0.0000 | 0.3577 | 118.98 | | -| 11 | Mohul Shukla | 0.0000 | 0.5048 | 54.60s | | -| 12 | Ryan Hulke | 0.0000 | 0.5226 | 166.24 | | -| 13 | Neel Shah | 0.0000 | 0.5445 | 45.40 | Zero overlaps on all tests, adaptive schedule + early stop | -| 14 | Nawel Asgar | 0.0000 | 0.5675 | 81.49 | Adaptive penalty scaling with cubic gradients and design-size optimization -| 15 | Shiva Baghel | 0.0000 | 0.5885 | 491.00 | Stable zero-overlap with balanced optimization | -| 16 | Vansh Jain | 0.0000 | 0.9352 | 86.36 | | -| 17 | Akash Pai | 0.0006 | 0.4933 | 326.25s | | -| 18 | Zade Mahayni | 0.00665 | 0.5157 | 127.4 | Will try again tomorrow | -| 19 | Nithin Yanna | 0.0148 | 0.5034 | 247.30s | aggressive overlap penalty with quadratic scaling | -| 20 | Sean Ko | 0.0271 | .5138 | 31.83s | lr increase, decrease epoch, increase lambda overlap and decreased lambda wire_length + log penalty loss | -| 21 | Keya Gohil | 0.0155 | 0.4678 | 1513.07 | Still working | -| 22 | Prithvi Seran | 0.0499 | 0.4890 | 398.58 | | -| 23 | partcl example | 0.8 | 0.4 | 5 | example | -| 24 | Add Yours! | | | | | +| 7 | Ben Klingher | 0.0000 | 0.3289 | 165.91s | Ran on Google Colab w/ T4 | +| 8 | Pawan Paleja | 0.0000 | 0.3311 | 1.74s | Implemented hint for loss func, cosine annealing on learning rate with warmup, std annealing on lambda weight. Used optuna to tune hyperparam. Tested on gh codespaces 2-core. | + 9 | Shashank Shriram | 0.0000 | 0.3312 | 11.32 | 🏎️💥 | +| 10 | Gabriel Del Monte | 0.0000 | 0.3427 | 606.07 | | +| 11 | Aleksey Valouev| 0.0000 | 0.3577 | 118.98 | | +| 12 | Mohul Shukla | 0.0000 | 0.5048 | 54.60s | | +| 13 | Ryan Hulke | 0.0000 | 0.5226 | 166.24 | | +| 14 | Neel Shah | 0.0000 | 0.5445 | 45.40 | Zero overlaps on all tests, adaptive schedule + early stop | +| 15 | Nawel Asgar | 0.0000 | 0.5675 | 81.49 | Adaptive penalty scaling with cubic gradients and design-size optimization +| 16 | Shiva Baghel | 0.0000 | 0.5885 | 491.00 | Stable zero-overlap with balanced optimization | +| 17 | Vansh Jain | 0.0000 | 0.9352 | 86.36 | | +| 18 | Akash Pai | 0.0006 | 0.4933 | 326.25s | | +| 19 | Zade Mahayni | 0.00665 | 0.5157 | 127.4 | Will try again tomorrow | +| 20 | Nithin Yanna | 0.0148 | 0.5034 | 247.30s | aggressive overlap penalty with quadratic scaling | +| 21 | Sean Ko | 0.0271 | .5138 | 31.83s | lr increase, decrease epoch, increase lambda overlap and decreased lambda wire_length + log penalty loss | +| 22 | Keya Gohil | 0.0155 | 0.4678 | 1513.07 | Still working | +| 23 | Prithvi Seran | 0.0499 | 0.4890 | 398.58 | | +| 24 | partcl example | 0.8 | 0.4 | 5 | example | +| 25 | Add Yours! | | | | | > **To add your results:** > Insert a new row in the table above with your name, overlap, wirelength, and any notes. Ensure you sort by overlap.