TMLR Submissions

Bayesian Extreme Learning
TMLR Paper2155 Authors
- 08 Feb 2024 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
IMEX-Reg: Implicit-Explicit Regularization in the Function Space for Continual Learning
Prashant Shivaram Bhat, Bharath Chennamkulam Renjith, Elahe Arani, Bahram Zonooz
- Published: 02 May 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Sparsifying Bayesian neural networks with latent binary variables and normalizing flows
TMLR Paper2153 Authors
- 08 Feb 2024 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Online Tensor Max-Norm Regularization via Stochastic Optimization
Tong Wu
- Published: 31 May 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Variational Bayesian Imaging with an Efficient Surrogate Score-based Prior
Berthy Feng, Katherine Bouman
- Published: 08 Aug 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Revisiting Non-separable Binary Classification and its Applications in Anomaly Detection
Matthew Lau, ISMAILA SECK, Athanasios P Meliopoulos, Wenke Lee, Eugene Ndiaye
- Published: 24 Jul 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Mildly Overparameterized ReLU Networks Have a Favorable Loss Landscape
Kedar Karhadkar, Michael Murray, Hanna Tseran, Guido Montufar
- Published: 04 Jun 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations
TMLR Paper2145 Authors
- 06 Feb 2024 (modified: 17 Sept 2024)
- Withdrawn by Authors
- Readers: Everyone
DP-ImgSyn: Dataset Alignment for Obfuscated, Differentially Private Image Synthesis
Efstathia Soufleri, Deepak Ravikumar, Kaushik Roy
- Published: 01 May 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Deep Generalized Prediction Set Classifier and Its Theoretical Guarantees
Zhou Wang, Xingye Qiao
- Published: 20 May 2024, Last Modified: 09 May 2025
- Accepted by TMLR
- Readers: Everyone
Pushing the Limits of Gradient Descent for Efficient Learning on Large Images
Deepak Gupta, Gowreesh Mago, Arnav Chavan, Dilip Prasad, Rajat Mani Thomas
- Published: 12 Sept 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
A Lennard-Jones Layer for Distribution Normalization
Mulun Na, Jonathan Klein, Biao Zhang, Wojtek Palubicki, Soren Pirk, Dominik Michels
- Published: 29 Aug 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
End-to-End Training Induces Information Bottleneck through Layer-Role Differentiation: A Comparative Analysis with Layer-wise Training
Keitaro Sakamoto, Issei Sato
- Published: 31 May 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Overcoming Order in Autoregressive Graph Generation for Molecule Generation
Edo Cohen-Karlik, Eyal Rozenberg, Daniel Freedman
- Published: 22 Jul 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Enhancing Compositional Generalization via Compositional Feature Alignment
Haoxiang Wang, Haozhe Si, Huajie Shao, Han Zhao
- Published: 22 May 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Fine-tuning can cripple your foundation model; preserving features may be the solution
Jishnu Mukhoti, Yarin Gal, Philip Torr, Puneet K. Dokania
- Published: 28 Jun 2024, Last Modified: 09 May 2025
- Accepted by TMLR
- Readers: Everyone
Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models
Zhen Lin, Shubhendu Trivedi, Jimeng Sun
- Published: 26 May 2024, Last Modified: 09 May 2025
- Accepted by TMLR
- Readers: Everyone
Targeted Active Learning for Bayesian Decision-Making
Louis Filstroff, Iiris Sundin, Petrus Mikkola, Aleksei Tiulpin, Juuso Kylmäoja, Samuel Kaski
- Published: 12 Jun 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Confidence-Based Model Selection: When to Take Shortcuts in Spurious Settings
TMLR Paper2133 Authors
- 03 Feb 2024 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Todyformer: Towards Holistic Dynamic Graph Transformers with Structure-Aware Tokenization
Mahdi Biparva, Raika Karimi, Faezeh Faez, Yingxue Zhang
- Published: 27 Jun 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Depth Scaling in Graph Neural Networks: Understanding the Flat Curve Behavior
Diana Gomes, Kyriakos Efthymiadis, Ann Nowe, Peter Vrancx
- Published: 13 May 2024, Last Modified: 29 Nov 2024
- Accepted by TMLR
- Readers: Everyone
Neural networks can be FLOP-efficient integrators of 1D oscillatory integrands
Anshuman Sinha, Spencer H Bryngelson
- Published: 08 Apr 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
SmGNN: Link Prediction in Sparse Layers of Multi-layer Graphs
TMLR Paper2128 Authors
- 01 Feb 2024 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Iterative Machine Teaching for Black-Box Markov Learners
TMLR Paper2127 Authors
- 31 Jan 2024 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Routers in Vision Mixture of Experts: An Empirical Study
Tianlin Liu, Mathieu Blondel, Carlos Riquelme Ruiz, Joan Puigcerver
- Published: 26 Apr 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone