wovepaper — the arXiv observatory

papers

Publications (22)

cs.LG2021

Group Equivariant Subsampling

Jin Xu, Hyunjik Kim, Tom Rainforth +1

cs.CV2020

Conditional Set Generation with Transformers

Adam R Kosiorek, Hyunjik Kim, Danilo J Rezende

cs.LG2022

From data to functa: Your data point is a function and you can treat it like one

Emilien Dupont, Hyunjik Kim, S. M. Ali Eslami +2

cs.LG2022

Pre-training via Denoising for Molecular Property Prediction

Sheheryar Zaidi, Michael Schaarschmidt, James Martens +6

cs.LG2023

Learning Instance-Specific Augmentations by Capturing Local Invariances

Ning Miao, Tom Rainforth, Emile Mathieu +4

cs.LG2025

Apple Intelligence Foundation Language Models: Tech Report 2025

Ethan Li, Anders Boesen Lindbo Larsen, Chen Zhang +395

stat.ML2021

The Lipschitz Constant of Self-Attention

Hyunjik Kim, George Papamakarios, Andriy Mnih

stat.ML2017

Collaborative Filtering with Side Information: a Gaussian Process Perspective

Hyunjik Kim, Xiaoyu Lu, Seth Flaxman +1

stat.ML2020

MetaFun: Meta-Learning with Iterative Functional Updates

Jin Xu, Jean-Francois Ton, Hyunjik Kim +2

stat.ML2018

Scaling up the Automatic Statistician: Scalable Structure Discovery using Gaussian Processes

Hyunjik Kim, Yee Whye Teh

cs.LG2024

Neural Compression of Atmospheric States

Piotr Mirowski, David Warde-Farley, Mihaela Rosca +7

cs.LG2023

When Does Re-initialization Work?

Sheheryar Zaidi, Tudor Berariu, Hyunjik Kim +4

eess.IV2023

C3: High-performance and low-complexity neural compression from a single image or video

Hyunjik Kim, Matthias Bauer, Lucas Theis +2

cs.LG2023

Spatial Functa: Scaling Functa to ImageNet Classification and Generation

Matthias Bauer, Emilien Dupont, Andy Brock +3

stat.ML2019

Disentangling by Factorising

Hyunjik Kim, Andriy Mnih

cs.CV2025

MANZANO: A Simple and Scalable Unified Multimodal Model with a Hybrid Vision Tokenizer

Yanghao Li, Rui Qian, Bowen Pan +24

cs.AI2024

Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search

Abbas Mehrabian, Ankit Anand, Hyunjik Kim +16

cs.LG2019

Attentive Neural Processes

Hyunjik Kim, Andriy Mnih, Jonathan Schwarz +5

stat.ML2019

Meta-Learning surrogate models for sequential decision making

Alexandre Galashov, Jonathan Schwarz, Hyunjik Kim +5

cs.LG2018

Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects

Adam R. Kosiorek, Hyunjik Kim, Ingmar Posner +1

cs.LG2021

LieTransformer: Equivariant self-attention for Lie Groups

Michael Hutchinson, Charline Le Lan, Sheheryar Zaidi +3

cs.CV2025

Publications (22)

Group Equivariant Subsampling

Conditional Set Generation with Transformers

From data to functa: Your data point is a function and you can treat it like one

Pre-training via Denoising for Molecular Property Prediction

Learning Instance-Specific Augmentations by Capturing Local Invariances

Apple Intelligence Foundation Language Models: Tech Report 2025

The Lipschitz Constant of Self-Attention

Collaborative Filtering with Side Information: a Gaussian Process Perspective

MetaFun: Meta-Learning with Iterative Functional Updates

Scaling up the Automatic Statistician: Scalable Structure Discovery using Gaussian Processes

Neural Compression of Atmospheric States

When Does Re-initialization Work?

C3: High-performance and low-complexity neural compression from a single image or video

Spatial Functa: Scaling Functa to ImageNet Classification and Generation

Disentangling by Factorising

MANZANO: A Simple and Scalable Unified Multimodal Model with a Hybrid Vision Tokenizer

Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search

Attentive Neural Processes

Meta-Learning surrogate models for sequential decision making

Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects

LieTransformer: Equivariant self-attention for Lie Groups

Good, Cheap, and Fast: Overfitted Image Compression with Wasserstein Distortion