TMLR Submissions

Federated $K$-Means Clustering via Dual Decomposition-based Distributed Optimization
TMLR Paper1131 Authors
- 07 May 2023 (modified: 17 Sept 2024)
- Withdrawn by Authors
- Readers: Everyone
CAE v2: Context Autoencoder with CLIP Latent Alignment
Xinyu Zhang, Jiahui Chen, Junkun Yuan, Qiang Chen, Jian Wang, Xiaodi Wang, Shumin Han, Xiaokang Chen, Jimin Pi, Kun Yao, Junyu Han, Errui Ding, Jingdong Wang
- Published: 05 Oct 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Graph Neural Networks for Temporal Graphs: State of the Art, Open Challenges, and Opportunities
Antonio Longa, Veronica Lachi, Gabriele Santin, Monica Bianchini, Bruno Lepri, Pietro Lio, franco scarselli, Andrea Passerini
- Published: 19 Aug 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Federated Minimax Optimization with Client Heterogeneity
Pranay Sharma, Rohan Panda, Gauri Joshi
- Published: 12 Dec 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Mitigating Real-World Distribution Shifts in the Fourier Domain
Kiran Krishnamachari, See-Kiong Ng, Chuan-Sheng Foo
- Published: 01 Aug 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Dynamic value alignment through preference aggregation of multiple objectives
TMLR Paper1126 Authors
- 06 May 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
A Latent Diffusion Model for Protein Structure Generation
TMLR Paper1124 Authors
- 05 May 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Quantifying neural network uncertainty under volatility clustering
TMLR Paper1122 Authors
- 05 May 2023 (modified: 17 Sept 2024)
- Withdrawn by Authors
- Readers: Everyone
Reinforcement Learning with Delayed, Composite, and Partially Anonymous Reward
Washim Uddin Mondal, Vaneet Aggarwal
- Published: 28 Aug 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
The Multiquadric Kernel for Moment-Matching Distributional Reinforcement Learning
Ludvig Killingberg, Helge Langseth
- Published: 27 Aug 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Diffusion Models for Constrained Domains
Nic Fishman, Leo Klarner, Valentin De Bortoli, Emile Mathieu, Michael John Hutchinson
- Published: 22 Aug 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Transport Score Climbing: Variational Inference Using Forward KL and Adaptive Neural Transport
Liyi Zhang, David Blei, Christian A Naesseth
- Published: 08 Aug 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Detecting incidental correlation in multimodal learning via latent variable modeling
Taro Makino, Yixin Wang, Krzysztof J. Geras, Kyunghyun Cho
- Published: 06 Sept 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Contrastive Attraction and Contrastive Repulsion for Representation Learning
Huangjie Zheng, Xu Chen, Jiangchao Yao, Hongxia Yang, Chunyuan Li, Ya Zhang, Hao Zhang, Ivor Tsang, Jingren Zhou, Mingyuan Zhou
- Published: 24 Jul 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Catastrophic overfitting can be induced with discriminative non-robust features
Guillermo Ortiz-Jimenez, Pau de Jorge, Amartya Sanyal, Adel Bibi, Puneet K. Dokania, Pascal Frossard, Grégory Rogez, Philip Torr
- Published: 22 Jul 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Dual Representation Learning for Out-of-distribution Detection
Zhilin Zhao, Longbing Cao
- Published: 21 Aug 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
It is All Connected: A New Graph Formulation for Spatio-Temporal Forecasting
TMLR Paper1113 Authors
- 02 May 2023 (modified: 17 Sept 2024)
- Withdrawn by Authors
- Readers: Everyone
Editable Temporal Graph Neural Network for Interactive Time Series Forecasting
TMLR Paper1112 Authors
- 02 May 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Interpretable (Un)Controllable Features in MDP's
TMLR Paper1111 Authors
- 02 May 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Simulate Time-integrated Coarse-grained Molecular Dynamics with Multi-scale Graph Networks
Xiang Fu, Tian Xie, Nathan J. Rebello, Bradley Olsen, Tommi S. Jaakkola
- Published: 24 Aug 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Hierarchical Reinforcement Learning for Power Network Topology Control
Blazej Manczak, Jan Viebahn, Herke van Hoof
- 01 May 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Towards Better Generalization with Flexible Representation of Multi-Module Graph Neural Networks
HyunGeun Lee, Kijung Yoon
- Published: 25 Jul 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Inducing Meaningful Units from Character Sequences with Dynamic Capacity Slot Attention
Melika Behjati, James Henderson
- Published: 01 Nov 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Mathematical analysis of singularities in the diffusion model under the submanifold assumption
TMLR Paper1105 Authors
- 29 Apr 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Distributionally Robust Classification on a Data Budget
Benjamin Feuer, Ameya Joshi, Minh Pham, Chinmay Hegde
- Published: 08 Aug 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone