TMLR Submissions

Towards Stability of Autoregressive Neural Operators
Michael McCabe, Peter Harrington, Shashank Subramanian, Jed Brown
- Published: 26 Oct 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Gradient Masked Averaging for Federated Learning
Irene Tenison, Sai Aravind Sreeramadas, Vaikkunth Mugunthan, Edouard Oyallon, Irina Rish, Eugene Belilovsky
- Published: 24 Oct 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
On Lower Bounds for the Number of Queries in Clustering Algorithms
TMLR Paper1239 Authors
- 05 Jun 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Faithful Knowledge Distillation
TMLR Paper1238 Authors
- 05 Jun 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
A Robust Backpropagation-Free Framework for Images
Timothy Zee, Alex Ororbia, Ankur Mali, Ifeoma Nwogu
- Published: 06 Nov 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Learning to Boost Resilience of Complex Networks via Neural Edge Rewiring
Shanchao Yang, MA KAILI, Baoxiang Wang, Tianshu Yu, Hongyuan Zha
- Published: 25 Aug 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Disciplined Saddle Programming
Philipp Schiele, Eric Sager Luxenberg, Stephen P. Boyd
- Published: 30 Jan 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Finding Neurons in a Haystack: Case Studies with Sparse Probing
Wes Gurnee, Neel Nanda, Matthew Pauly, Katherine Harvey, Dmitrii Troitskii, Dimitris Bertsimas
- Published: 01 Nov 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Cross-client Label Propagation for Transductive and Semi-Supervised Federated Learning
Jonathan Scott, Michelle Yeo, Christoph H Lampert
- Published: 27 Nov 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Inducing Reusable Skills From Demonstrations with Option-Controller Network
TMLR Paper1230 Authors
- 02 Jun 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Uncertainty Estimation for Computed Tomography with a Linearised Deep Image Prior
Javier Antoran, Riccardo Barbano, Johannes Leuschner, José Miguel Hernández-Lobato, Bangti Jin
- Published: 11 Dec 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Granger-Causal Hierarchical Skill Discovery
TMLR Paper1228 Authors
- 02 Jun 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Label Noise-Robust Learning using a Confidence-Based Sieving Strategy
Reihaneh Torkzadehmahani, Reza Nasirigerdeh, Daniel Rueckert, Georgios Kaissis
- Published: 27 Sept 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Revisiting Hidden Representations in Transfer Learning for Medical Imaging
Dovile Juodelyte, Amelia Jiménez-Sánchez, Veronika Cheplygina
- Published: 11 Sept 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Some Remarks on Identifiability of Independent Component Analysis in Restricted Function Classes
Simon Buchholz
- Published: 31 Aug 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
On the Sample Complexity of Lipschitz Constant Estimation
Julien Walden Huang, Stephen J. Roberts, Jan-Peter Calliess
- Published: 19 Sept 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Learning domain-specific causal discovery from time series
Xinyue Wang, Konrad Kording
- Published: 28 Sept 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
The inverse problem for kernel means
TMLR Paper1221 Authors
- 01 Jun 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Learning State Reachability as a Graph in Translation Invariant Goal-based Reinforcement Learning Tasks
TMLR Paper1220 Authors
- 01 Jun 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
RIGNN: A Rationale Perspective for Semi-supervised Open-world Graph Classification
Xiao Luo, Yusheng Zhao, Zhengyang Mao, Yifang Qin, Wei Ju, Ming Zhang, Yizhou Sun
- Published: 24 Sept 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
CAREER: A Foundation Model for Labor Sequence Data
Keyon Vafa, Emil Palikot, Tianyu Du, Ayush Kanodia, Susan Athey, David Blei
- Published: 22 Jan 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Expectation of the maximum of random variables with applications to reinforcement learning
TMLR Paper1216 Authors
- 01 Jun 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Bridging the Gap Between Target Networks and Functional Regularization
Alexandre Piché, Valentin Thomas, Joseph Marino, Rafael Pardinas, Gian Maria Marconi, Christopher Pal, Mohammad Emtiyaz Khan
- Published: 06 Sept 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
ILPO-MP: Mode Priors Prevent Mode Collapse when Imitating Latent Policies from Observations
Oliver Struckmeier, Ville Kyrki
- Published: 02 Nov 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Zero-shot Node Classification with Graph Contrastive Embedding Network
Wei Ju, Yifang Qin, Siyu Yi, Zhengyang Mao, Kangjie Zheng, Luchen Liu, Xiao Luo, Ming Zhang
- Published: 12 Oct 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone