2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.AI2026
MINT: Min-Selection Preference Distillation for Balanced Multi-Objective Alignment
Tony Tu, Sayan Chakraborty, Ruomeng Xu +2
Aligning a language agent to several objectives at once is a persistent failure mode of preference-based training: when objectives are combined additively, optimization collapses o…
q-bio.GN2023★ 2 cited
ProtiGeno: a prokaryotic short gene finder using protein language models
Tony Tu, Gautham Krishna, Amirali Aghazadeh
Prokaryotic gene prediction plays an important role in understanding the biology of organisms and their function with applications in medicine and biotechnology. Although the curre…
stat.ML2022
Spectral Regularization Allows Data-frugal Learning over Combinatorial Spaces
Amirali Aghazadeh, Nived Rajaraman, Tony Tu +1
Data-driven machine learning models are being increasingly employed in several important inference problems in biology, chemistry, and physics which require learning over combinato…