TMLR Submissions

Ensemble learning for Physics Informed Neural Networks: a Gradient Boosting approach
TMLR Paper1411 Authors
- 23 Jul 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
AdaFed: Fair Federated Learning via Adaptive Common Descent Direction
Shayan Mohajer Hamidi, EN-HUI YANG
- Published: 22 Jan 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Lightweight Vision Transformer Course-to-Fine Search via Latency Profiling
TMLR Paper1409 Authors
- 23 Jul 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Data-Free Diversity-Based Ensemble Selection for One-Shot Federated Learning
Naibo Wang, Wenjie Feng, yuchen deng, Moming Duan, Fusheng Liu, See-Kiong Ng
- Published: 27 Nov 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Probabilistic Forecasting with Coherent Aggregation
TMLR Paper1407 Authors
- 22 Jul 2023 (modified: 17 Sept 2024)
- Withdrawn by Authors
- Readers: Everyone
Convergence of SGD for Training Neural Networks with Sliced Wasserstein Losses
Eloi Tanguy
- Published: 30 Oct 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Relationship between Batch Size and Number of Steps Needed for Nonconvex Optimization of Stochastic Gradient Descent using Armijo Line Search
TMLR Paper1405 Authors
- 21 Jul 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
QDC: Quantum Diffusion Convolution Kernels on Graphs
Thomas Markovich
- Published: 18 Feb 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
$f$-MICL: Understanding and Generalizing InfoNCE-based Contrastive Learning
Yiwei Lu, Guojun Zhang, Sun Sun, Hongyu Guo, Yaoliang Yu
- Published: 25 Oct 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Learning to reconstruct signals from binary measurements alone
Julián Tachella, Laurent Jacques
- Published: 27 Nov 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Conformal prediction under ambiguous ground truth
David Stutz, Abhijit Guha Roy, Tatiana Matejovicova, Patricia Strachan, Ali Taylan Cemgil, Arnaud Doucet
- Published: 26 Oct 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Addressing caveats of neural persistence with deep graph persistence
Leander Girrbach, Anders Christensen, Ole Winther, Zeynep Akata, A. Sophia Koepke
- Published: 20 Nov 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Out-of-Distribution Optimality of Invariant Risk Minimization
Shoji Toyota, Kenji Fukumizu
- Published: 08 Feb 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
3D Molecular Generation via Virtual Dynamics
Shuqi Lu, Lin Yao, Xi Chen, Hang Zheng, Di He, Guolin Ke
- Published: 10 Apr 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Non-asymptotic approximations of Gaussian neural networks via second-order Poincar\'e inequalities
TMLR Paper1395 Authors
- 19 Jul 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Dual-windowed Vision Transformer with Angular Self-Attention
TMLR Paper1394 Authors
- 18 Jul 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
UnIVAL: Unified Model for Image, Video, Audio and Language Tasks
Mustafa Shukor, Corentin Dancette, Alexandre Rame, Matthieu Cord
- Published: 20 Dec 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Replay-enhanced Continual Reinforcement Learning
Tiantian Zhang, Kevin Zehua Shen, Zichuan Lin, Bo Yuan, Xueqian Wang, Xiu Li, Deheng Ye
- Published: 20 Nov 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Neural Implicit Manifold Learning for Topology-Aware Density Estimation
Brendan Leigh Ross, Gabriel Loaiza-Ganem, Anthony L. Caterini, Jesse C. Cresswell
- Published: 05 Jan 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Improving Continual Learning by Accurate Gradient Reconstructions of the Past
Erik Daxberger, Siddharth Swaroop, Kazuki Osawa, Rio Yokota, Richard E Turner, José Miguel Hernández-Lobato, Mohammad Emtiyaz Khan
- Published: 02 Nov 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
NOFLITE: Learning to Predict Individual Treatment Effect Distributions
Toon Vanderschueren, Jeroen Berrevoets, Wouter Verbeke
- Published: 09 Nov 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Robust Contextual Linear Bandits
TMLR Paper1387 Authors
- 17 Jul 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Sharper Rates and Flexible Framework for Nonconvex SGD with Client and Data Sampling
Alexander Tyurin, Lukang Sun, Konstantin Pavlovich Burlachenko, Peter Richtárik
- Published: 12 Oct 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Debiasing, calibrating, and improving Semi-supervised Learning performance via simple Ensemble Projector
TMLR Paper1384 Authors
- 16 Jul 2023 (modified: 17 Sept 2024)
- Withdrawn by Authors
- Readers: Everyone
One-Round Active Learning through Data Utility Learning and Proxy Models
Jiachen T. Wang, Si Chen, Ruoxi Jia
- Published: 13 Nov 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone