TMLR Submissions

Convergence of denoising diffusion models under the manifold hypothesis
Valentin De Bortoli
- Published: 07 Nov 2022, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Fast and Accurate Spreading Process Temporal Scale Estimation
Abram Magner, Carolyn S Kaminski, Petko Bogdanov
- Published: 12 Dec 2022, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Instance-Conditioned GAN Data Augmentation for Representation Learning
TMLR Paper348 Authors
- 08 Aug 2022 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents
Kushagra Pandey, Avideep Mukherjee, Piyush Rai, Abhishek Kumar
- Published: 05 Dec 2022, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images
Philipp Liznerski, Lukas Ruff, Robert A. Vandermeulen, Billy Joe Franks, Klaus Robert Muller, Marius Kloft
- Published: 12 Nov 2022, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Cheap and Deterministic Inference for Deep State-Space Models of Interacting Dynamical Systems
Andreas Look, Barbara Rakitsch, Melih Kandemir, Jan Peters
- Published: 01 Mar 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Learning Two-Step Hybrid Policy for Graph-Based Interpretable Reinforcement Learning
Tongzhou Mu, Kaixiang Lin, Feiyang Niu, Govind Thattai
- Published: 19 Oct 2022, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Infinitely wide limits for deep Stable neural networks: sub-linear, linear and super-linear activation functions
Alberto Bordino, Stefano Favaro, Sandra Fortini
- Published: 01 Dec 2022, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
A Note on "Assessing Generalization of SGD via Disagreement"
Andreas Kirsch, Yarin Gal
- Published: 06 Nov 2022, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Tailoring to the Tails: Risk Measures for Fine-Grained Tail Sensitivity
Christian Fröhlich, Robert Williamson
- Published: 02 Feb 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Medium Samples Are All You Need: Sample Easiness-Aware Learning for Neural Networks
TMLR Paper338 Authors
- 04 Aug 2022 (modified: 17 Sept 2024)
- Withdrawn by Authors
- Readers: Everyone
Transferable and Adaptable Driving Behavior Prediction
TMLR Paper337 Authors
- 03 Aug 2022 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Centroids Matching: an efficient Continual Learning approach operating in the embedding space
Jary Pomponi, Simone Scardapane, Aurelio Uncini
- Published: 14 Oct 2022, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
No imputation without representation
TMLR Paper335 Authors
- 03 Aug 2022 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Neural Fixed-Point Acceleration for Second-order Cone Optimization Problems
TMLR Paper334 Authors
- 02 Aug 2022 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Systematically and efficiently improving $k$-means initialization by pairwise-nearest-neighbor smoothing
Carlo Baldassi
- Published: 07 Dec 2022, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Online Learning for Prediction via Covariance Fitting: Computation, Performance and Robustness
Muhammad Osama, Dave Zachariah, Peter Stoica, Thomas B. Schön
- Published: 27 Jan 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
On Noise Abduction for Answering Counterfactual Queries: A Practical Outlook
Saptarshi Saha, Utpal Garain
- Published: 24 Oct 2022, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Embedding Recycling for Language Models
TMLR Paper330 Authors
- 02 Aug 2022 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Multi-Source Causal Inference Using Control Variates under Outcome Selection Bias
Wenshuo Guo, Serena Lutong Wang, Peng Ding, Yixin Wang, Michael Jordan
- Published: 21 Oct 2022, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Incorporating Sum Constraints into Multitask Gaussian Processes
Philipp Pilar, Carl Jidling, Thomas B. Schön, Niklas Wahlström
- Published: 01 Dec 2022, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Unifying Approaches in Active Learning and Active Sampling via Fisher Information and Information-Theoretic Quantities
Andreas Kirsch, Yarin Gal
- Published: 15 Nov 2022, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Subgraph Permutation Equivariant Networks
TMLR Paper324 Authors
- 30 Jul 2022 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
On Connecting Deep Trigonometric Networks with Deep Gaussian Processes: Covariance, Expressivity, and Neural Tangent Kernel
TMLR Paper323 Authors
- 30 Jul 2022 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
An Efficient One-Class SVM for Novelty Detection in IoT
Kun Yang, Samory Kpotufe, Nick Feamster
- Published: 15 Nov 2022, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone