TMLR Submissions

Variational Autoencoding of Dental Point Clouds
Johan Ziruo Ye, Thomas Ørkild, Peter Lempel Søndergard, Søren Hauberg
- Published: 02 Aug 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Normality-Guided Distributional Reinforcement Learning for Continuous Control
Ju-Seung Byun, Andrew Perrault
- Published: 02 Jun 2025, Last Modified: 02 Jun 2025
- Accepted by TMLR
- Readers: Everyone
Enhancing Contrastive Clustering with Negative Pair-guided Regularization
Abhishek Kumar, Anish Chakrabarty, Sankha Subhra Mullick, Swagatam Das
- Published: 09 Dec 2024, Last Modified: 09 Dec 2024
- Accepted by TMLR
- Readers: Everyone
No Need for Ad-hoc Substitutes: The Expected Cost is a Principled All-purpose Classification Metric
Luciana Ferrer
- Published: 06 Mar 2025, Last Modified: 06 Mar 2025
- Accepted by TMLR
- Readers: Everyone
Training Wasserstein GANs without Gradient Penalties via Duality
TMLR Paper2762 Authors
- 28 May 2024 (modified: 24 Feb 2025)
- Rejected by TMLR
- Readers: Everyone
Attacking the Spike: On the Security of Spiking Neural Networks to Adversarial Examples
TMLR Paper2761 Authors
- 27 May 2024 (modified: 22 Oct 2024)
- Rejected by TMLR
- Readers: Everyone
Permutation invariant functions: statistical tests, density estimation, and computationally efficient embedding
TMLR Paper2760 Authors
- 27 May 2024 (modified: 17 Sept 2024)
- Withdrawn by Authors
- Readers: Everyone
Preconditioned Neural Posterior Estimation for Likelihood-free Inference
Xiaoyu Wang, Ryan P. Kelly, David J Warne, Christopher Drovandi
- Published: 17 Sept 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Explainability of Vision Transformers: A Comprehensive Review and New Perspectives
TMLR Paper2757 Authors
- 27 May 2024 (modified: 06 Oct 2024)
- Rejected by TMLR
- Readers: Everyone
Invariance & Causal Representation Learning: Prospects and Limitations
Simon Bing, Tom Hochsprung, Jonas Wahl, Urmi Ninad, Jakob Runge
- Published: 07 Sept 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Identifying and Clustering Counter Relationships of Team Compositions in PvP Games for Efficient Balance Analysis
Chiu-Chou Lin, Yu-Wei Shih, Kuei-Ting Kuo, Yu-Cheng Chen, Chien-Hua Chen, Wei-Chen Chiu, I-Chen Wu
- Published: 31 Aug 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
DrGNN: Deep Residual Graph Neural Network with Contrastive Learning
Lecheng Zheng, Dongqi Fu, Ross Maciejewski, Jingrui He
- Published: 13 Nov 2024, Last Modified: 13 Nov 2024
- Accepted by TMLR
- Readers: Everyone
Risk Bounds for Mixture Density Estimation on Compact Domains via the h-Lifted Kullback–Leibler Divergence
Mark Chiu Chong, Hien Duy Nguyen, TrungTin Nguyen
- Published: 08 Dec 2024, Last Modified: 08 Dec 2024
- Accepted by TMLR
- Readers: Everyone
InstructEdit: Improving Automatic Masks for Diffusion-based Image Editing With User Instructions
TMLR Paper2749 Authors
- 26 May 2024 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
SelfXit: An Unsupervised Early Exit Mechanism for Deep Neural Networks
Hossein KhademSohi, Mohammadamin Abedi, Yani Ioannou, Steve Drew, Pooyan Jamshidi, Hadi Hemmati
- Published: 31 Oct 2024, Last Modified: 17 Jan 2025
- Accepted by TMLR
- Readers: Everyone
PLUM: Improving Inference Efficiency By Leveraging Repetition-Sparsity Trade-Off
Sachit Kuhar, Yash Jain, Alexey Tumanov
- Published: 05 Nov 2024, Last Modified: 05 Nov 2024
- Accepted by TMLR
- Readers: Everyone
Sparse Neural Architectures via Deterministic Ramanujan Graphs
Suryam Arnav Kalra, Arindam Biswas, Pabitra Mitra, BISWAJIT BASU
- Published: 06 Jan 2025, Last Modified: 06 Jan 2025
- Accepted by TMLR
- Readers: Everyone
Object-Centric Learning of Neural Policies for Zero-shot Transfer over Domains with Varying Quantities of Interest
TMLR Paper2745 Authors
- 25 May 2024 (modified: 20 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Contrastive Learning with Consistent Representations
Zihu Wang, Yu Wang, Zhuotong Chen, Hanbin Hu, Peng Li
- Published: 11 Sept 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Model Recycling Framework for Multi-Source Data-Free Supervised Transfer Learning
TMLR Paper2742 Authors
- 24 May 2024 (modified: 20 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Approximation , Estimation and Optimization Errors for a Deep Neural Network
TMLR Paper2741 Authors
- 24 May 2024 (modified: 31 Oct 2024)
- Rejected by TMLR
- Readers: Everyone
Generalized Category Discovery under the Long-Tailed Distribution
TMLR Paper2740 Authors
- 23 May 2024 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Towards Measuring Predictability: To which extent data-driven approaches can extract deterministic relations from data exemplified with time series prediction and classification
Saleh GHOLAM ZADEH, Vaisakh Shaj, Patrick Jahnke, Gerhard Neumann, Tim Breitenbach
- Published: 05 Feb 2025, Last Modified: 05 Feb 2025
- Accepted by TMLR
- Readers: Everyone
Time series recovery from partial observations via Nonnegative Matrix Factorization
TMLR Paper2738 Authors
- 23 May 2024 (modified: 20 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Probabilistic Guarantees for Abductive Inference
TMLR Paper2737 Authors
- 23 May 2024 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone