activity
20162026
most citedLife-Long Disentangled Representation Learning with Cross-Domain Latent Homologies

75 citations · 372 across the 57 of their papers we have counts for

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Showing 2024Show all

9 papers · 1 filter

q-bio.BM2024

Long-context Protein Language Modeling Using Bidirectional Mamba with Shared Projection Layers

Yingheng Wang, Zichen Wang, Gil Sadeh +4

Self-supervised training of language models (LMs) has seen great success for protein sequences in learning meaningful representations and for generative drug design. Most protein L…

cs.LG2024

Compositional Structures in Neural Embedding and Interaction Decompositions

Matthew Trager, Alessandro Achille, Pramuditha Perera +2

We describe a basic correspondence between linear algebraic structures within vector embeddings in artificial neural networks and conditional independence constraints on the probab…

cs.LG2024★ 1 cited

B'MOJO: Hybrid State Space Realizations of Foundation Models with Eidetic and Fading Memory

Luca Zancato, Arjun Seshadri, Yonatan Dukler +6

We describe a family of architectures to support transductive inference by allowing memory to grow to a finite but a-priori unknown bound while making efficient use of finite resou…

cs.CV2024

Diffusion Soup: Model Merging for Text-to-Image Diffusion Models

Benjamin Biggs, Arjun Seshadri, Yang Zou +6

We present Diffusion Soup, a compartmentalization method for Text-to-Image Generation that averages the weights of diffusion models trained on sharded data. By construction, our ap…

cs.CV2024★ 1 cited

Principles of Designing Robust Remote Face Anti-Spoofing Systems

Xiang Xu, Tianchen Zhao, Zheng Zhang +4

Protecting digital identities of human face from various attack vectors is paramount, and face anti-spoofing plays a crucial role in this endeavor. Current approaches primarily foc…

cs.CV2024★ 1 cited

NeRF-Insert: 3D Local Editing with Multimodal Control Signals

Benet Oriol Sabat, Alessandro Achille, Matthew Trager +1

We propose NeRF-Insert, a NeRF editing framework that allows users to make high-quality local edits with a flexible level of control. Unlike previous work that relied on image-to-i…