TMLR Submissions

Taming Diffusion Times in Score-based Generative Models: Trade-offs and Solutions
TMLR Paper510 Authors
- 17 Oct 2022 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Semantically Adversarial Scene Generation with Explicit Knowledge Guidance for Autonomous Driving
TMLR Paper509 Authors
- 15 Oct 2022 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Evaluating the Evaluators: Which UDA validation methods are most effective? Can they be improved?
TMLR Paper507 Authors
- 14 Oct 2022 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Recognition Models to Learn Dynamics from Partial Observations with Neural ODEs
Mona Buisson-Fenet, Valery Morgenthaler, Sebastian Trimpe, Florent Di Meglio
- Published: 18 Jan 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Intrinsic Dimension for Large-Scale Geometric Learning
Maximilian Stubbemann, Tom Hanika, Friedrich Martin Schneider
- Published: 11 Jan 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Anomaly Detection using Normalizing Flows and Contrastive Data
TMLR Paper504 Authors
- 13 Oct 2022 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Gradient-adjusted Incremental Target Propagation Provides Effective Credit Assignment in Deep Neural Networks
Sander Dalm, Nasir Ahmad, Luca Ambrogioni, Marcel van Gerven
- Published: 24 Jan 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Local Function Complexity for Active Learning via Mixture of Gaussian Processes
TMLR Paper502 Authors
- 12 Oct 2022 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
UncertaINR: Uncertainty Quantification of End-to-End Implicit Neural Representations for Computed Tomography
Francisca Vasconcelos, Bobby He, Nalini M Singh, Yee Whye Teh
- Published: 09 Apr 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Mean-field analysis for heavy ball methods: Dropout-stability, connectivity, and global convergence
Diyuan Wu, Vyacheslav Kungurtsev, Marco Mondelli
- Published: 16 Feb 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
PCPs: Patient Cardiac Prototypes to Probe AI-based Medical Diagnoses, Distill Datasets, and Retrieve Patients
Dani Kiyasseh, Tingting Zhu, David A. Clifton
- Published: 12 Jan 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Ensembles for Uncertainty Estimation: Benefits of Prior Functions and Bootstrapping
Vikranth Dwaracherla, Zheng Wen, Ian Osband, Xiuyuan Lu, Seyed Mohammad Asghari, Benjamin Van Roy
- Published: 09 May 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Word Embeddings as Statistical Estimators
TMLR Paper496 Authors
- 10 Oct 2022 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Indiscriminate Data Poisoning Attacks on Neural Networks
Yiwei Lu, Gautam Kamath, Yaoliang Yu
- Published: 24 Dec 2022, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Local Advantage Networks for Multi-Agent Reinforcement Learning in Dec-POMDPs
TMLR Paper494 Authors
- 10 Oct 2022 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Continual Learning by Modeling Intra-Class Variation
Longhui Yu, Tianyang Hu, Lanqing HONG, Zhen Liu, Adrian Weller, Weiyang Liu
- Published: 09 Mar 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Bridging performance gap between minimal and maximal SVM models
Ondrej Such, René Fabricius
- Published: 20 Apr 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
On the Role of Fixed Points of Dynamical Systems in Training Physics-Informed Neural Networks
Franz M. Rohrhofer, Stefan Posch, Clemens Gößnitzer, Bernhard C Geiger
- Published: 23 Jan 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Costs and Benefits of Fair Regression
Han Zhao
- Published: 08 Mar 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Beyond Information Gain: An Empirical Benchmark for Low-Switching-Cost Reinforcement Learning
Shusheng Xu, Yancheng Liang, Yunfei Li, Simon Shaolei Du, Yi Wu
- Published: 10 Jan 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Auxiliary Cross-Modal Representation Learning with Triplet Loss Functions for Online Handwriting Recognition
TMLR Paper487 Authors
- 07 Oct 2022 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Hidden Heterogeneity: When to Choose Similarity-Based Calibration
Kiri L. Wagstaff, Thomas G Dietterich
- Published: 09 Jan 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
COIN++: Neural Compression Across Modalities
Emilien Dupont, Hrushikesh Loya, Milad Alizadeh, Adam Golinski, Yee Whye Teh, Arnaud Doucet
- Published: 07 Dec 2022, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Evaluation of Generative Models: An Empirical Study
TMLR Paper484 Authors
- 06 Oct 2022 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Computationally-efficient initialisation of GPs: The generalised variogram method
Felipe Tobar, Elsa Cazelles, Taco de Wolff
- Published: 05 May 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone