firstbacksecondback
31 Results
|
Poster
|
Tue 2:30 |
Hierarchical Neural Operator Transformer with Learnable Frequency-aware Loss Prior for Arbitrary-scale Super-resolution Xihaier Luo · Xiaoning Qian · Byung-Jun Yoon |
|
|
Workshop
|
Exploring Neural Scaling Laws in Molecular Pretraining with Synthetic Tasks Rodrigo S. Hormazabal · Seung Woo Ko · Inwan Yoo · Sehui Han · Paul Bertens |
||
|
Workshop
|
SINR: Equivariant Neural Vector Fields David Ruhe · Patrick Forré |
||
|
Poster
|
Tue 4:30 |
Navigating Scaling Laws: Compute Optimality in Adaptive Model Training Sotiris Anagnostidis · Gregor Bachmann · Imanol Schlag · Thomas Hofmann |
|
|
Poster
|
Thu 4:30 |
Harnessing the Power of Neural Operators with Automatically Encoded Conservation Laws Ning Liu · Yiming Fan · Xianyi Zeng · Milan Klöwer · LU ZHANG · Yue Yu |
|
|
Oral
|
Thu 1:30 |
Position: Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems Yifan Xia · Xianliang Yang · Zichuan Liu · Zhihao Liu · Lei Song · Jiang Bian |
|
|
Workshop
|
Training Compute-Optimal Protein Language Models Xingyi Cheng · Bo Chen · Pan Li · Jing Gong · Jie Tang · Le Song |
||
|
Workshop
|
Training Compute-Optimal Protein Language Models Xingyi Cheng · Bo Chen · Pan Li · Jing Gong · Jie Tang · Le Song |
||
|
Workshop
|
Are Protein Language Models Compute Optimal? Yaiza Serrano · Alvaro Ciudad Serrano · Alexis Molina |
||
|
Poster
|
Thu 4:30 |
A Tale of Tails: Model Collapse as a Change of Scaling Laws Elvis Dohmatob · Yunzhen Feng · Pu Yang · Francois Charton · Julia Kempe |
|
|
Workshop
|
Fri 8:00 |
Scaling Laws for Reward Model Overoptimization in Direct Alignment Algorithms Rafael Rafailov · Yaswanth Chittepu · Ryan Park · Harshit Sikchi · Joey Hejna · William Knox · Chelsea Finn · Scott Niekum |
|
|
Poster
|
Wed 2:30 |
Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling Laws Nikhil Sardana · Jacob Portes · Alexandre (Sasha) Doubov · Jonathan Frankle |