Workshop

Manifold-aligned Neighbor Embedding
Mohammad Tariqul Islam · Jason Fleischer

Workshop

Auto-regressive WaveNet Variational Autoencoders for Alignment-free Generative Protein Design and Fitness Prediction
Niksa Praljak · Andrew Ferguson

Workshop

Align-Deform-Subtract: An interventional framework for explaining object differences
Cian Eastwood · Li Nanbo · Chris Williams

Workshop

HCMD-zero: Learning Value Aligned Mechanisms from Data
Jan Balaguer · Raphael Koster · Ari Weinstein · Lucy Campbell-Gillingham · Christopher Summerfield · Matthew Botvinick · Andrea Tacchetti

Workshop

Denoising Diffusion Probabilistic Models on SO(3) for Rotational Alignment
Adam Leach · Sebastian Schmon · Matteo Degiacomi · Chris G Willcocks

Poster

Mon 18:30

Temporal Alignment Prediction for Supervised Representation Learning and Few-Shot Sequence Classification
Bing Su · Ji-Rong Wen

Poster

Mon 10:30

Anisotropic Random Feature Regression in High Dimensions
Gabriel Mel · Jeffrey Pennington

Spotlight

Mon 10:30

Adversarial Support Alignment
Shangyuan Tong · Timur Garipov · Yang Zhang · Shiyu Chang · Tommi Jaakkola

Poster

Wed 18:30

The Effects of Reward Misspecification: Mapping and Mitigating Misaligned Models
Alexander Pan · Kush Bhatia · Jacob Steinhardt

Poster

Mon 18:30

Training invariances and the low-rank phenomenon: beyond linear networks
Thien Le · Stefanie Jegelka

Oral

Tue 2:15

StyleAlign: Analysis and Applications of Aligned StyleGAN Models
Zongze Wu · Yotam Nitzan · Eli Shechtman · Dani Lischinski

Workshop

Fri 6:45

Enabling Empirically and Theoretically Sound Algorithmic Alignment
Petar Veličković

Results