Jonathan Richard Schwarz

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 12

Top Topics

Distributed Representations

Compression Scheme

Document Ranking

Top Venues

Publications

Arinbjorn Kolbeinsson, Kyle O'Brien, Tianjin Huang, Shanghua Gao, Shiwei Liu, Jonathan Richard Schwarz, Anurag Vaidya, Faisal Mahmood, Marinka Zitnik, Tianlong Chen, Thomas Hartvigsen
Composable Interventions for Language Models. CoRR (2024)
Shanghua Gao, Ada Fang, Yepeng Huang, Valentina Giunchiglia, Ayush Noori, Jonathan Richard Schwarz, Yasha Ektefaie, Jovana Kondic, Marinka Zitnik
Empowering Biomedical Discovery with AI Agents. CoRR (2024)
Jihoon Tack, Jaehyung Kim, Eric Mitchell, Jinwoo Shin, Yee Whye Teh, Jonathan Richard Schwarz
Online Adaptation of Language Models with a Memory of Amortized Contexts. CoRR (2024)
David Brandfonbrener, Hanlin Zhang, Andreas Kirsch, Jonathan Richard Schwarz, Sham M. Kakade
CoLoR-Filter: Conditional Loss Reduction Filtering for Targeted Language Model Pre-training. CoRR (2024)
Shengzhuang Chen, Jihoon Tack, Yunqiao Yang, Yee Whye Teh, Jonathan Richard Schwarz, Ying Wei
Unleashing the Power of Meta-tuning for Few-shot Generalization Through Sparse Interpolated Experts. CoRR (2024)
Jihoon Tack, Subin Kim, Sihyun Yu, Jaeho Lee, Jinwoo Shin, Jonathan Richard Schwarz
Learning Large-scale Neural Fields via Context Pruned Meta-Learning. NeurIPS (2023)
Jonathan Richard Schwarz, Jihoon Tack, Yee Whye Teh, Jaeho Lee, Jinwoo Shin
Modality-Agnostic Variational Compression of Implicit Neural Representations. CoRR (2023)
Jihoon Tack, Subin Kim, Sihyun Yu, Jaeho Lee, Jinwoo Shin, Jonathan Richard Schwarz
Efficient Meta-Learning via Error-based Context Pruning for Implicit Neural Representations. CoRR (2023)
Shengzhuang Chen, Long-Kai Huang, Jonathan Richard Schwarz, Yilun Du, Ying Wei
Secure Out-of-Distribution Task Generalization with Energy-Based Models. NeurIPS (2023)
Hyunjik Kim, Matthias Bauer, Lucas Theis, Jonathan Richard Schwarz, Emilien Dupont
C3: High-performance and low-complexity neural compression from a single image or video. CoRR (2023)
Jonathan Richard Schwarz, Jihoon Tack, Yee Whye Teh, Jaeho Lee, Jinwoo Shin
Modality-Agnostic Variational Compression of Implicit Neural Representations. ICML (2023)
Jonathan Richard Schwarz, Yee Whye Teh
Meta-Learning Sparse Compression Networks. CoRR (2022)