TMLR Submissions

Towards Better Generalization with Flexible Representation of Multi-Module Graph Neural Networks
HyunGeun Lee, Kijung Yoon
- Published: 25 Jul 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Inducing Meaningful Units from Character Sequences with Dynamic Capacity Slot Attention
Melika Behjati, James Henderson
- Published: 01 Nov 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Mathematical analysis of singularities in the diffusion model under the submanifold assumption
TMLR Paper1105 Authors
- 29 Apr 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Distributionally Robust Classification on a Data Budget
Benjamin Feuer, Ameya Joshi, Minh Pham, Chinmay Hegde
- Published: 08 Aug 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Efficient Inference With Model Cascades
Luzian Lebovitz, Lukas Cavigelli, Michele Magno, Lorenz K Muller
- Published: 04 Sept 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
The Analysis of the Expected Change in the Classification Probability of the Predicted Label
Ruo Yang, Ping Liu, Mustafa Bilgic
- Published: 22 Nov 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
DPVIm: Differentially Private Variational Inference Improved
Joonas Jälkö, Lukas Prediger, Antti Honkela, Samuel Kaski
- Published: 20 Sept 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
HypUC: Hyperfine Uncertainty Calibration with Gradient- boosted Corrections for Reliable Regression on Imbalanced Electrocardiograms
Uddeshya Upadhyay, Sairam Bade, Arjun Puranik, Shahir Asfahan, Melwin Babu, Francisco Lopez-Jimenez, Samuel Asirvatham, Ashim Prasad, Ajit Rajasekharan, Samir Awasthi, Rakesh Barve
- Published: 13 Sept 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Differentially Private Diffusion Models
Tim Dockhorn, Tianshi Cao, Arash Vahdat, Karsten Kreis
- Published: 08 Sept 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Offline Equilibrium Finding
TMLR Paper1098 Authors
- 27 Apr 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
EHRDiff: Exploring Realistic EHR Synthesis with Diffusion Models
TMLR Paper1097 Authors
- 26 Apr 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
One-Step Distributional Reinforcement Learning
Mastane Achab, Reda ALAMI, YASSER ABDELAZIZ DAHOU DJILALI, Kirill Fedyanin, Eric Moulines
- Published: 22 Aug 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Self-supervised Learning for Segmentation and Quantification of Dopamine Neurons in Parkinson’s Disease
Fatemeh Haghighi, soumitra ghosh, Sarah Chu, Hai Ngu, Mohsen Hejrati, Han Hui Lin, Baris Bingol, Somaye Hashemifar
- Published: 14 Oct 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
A Unified Perspective on Natural Gradient Variational Inference with Gaussian Mixture Models
Oleg Arenz, Philipp Dahlinger, Zihan Ye, Michael Volpp, Gerhard Neumann
- Published: 17 Jul 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Cyclophobic Reinforcement Learning
Stefan Sylvius Wagner, Peter Arndt, Jan Robine, Stefan Harmeling
- Published: 20 Aug 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Pseudo-Differential Neural Operator: Generalize Fourier Neural operator for Learning Solution Operators of Partial Differential Equations
Jin Young Shin, Jae Yong Lee, Hyung Ju Hwang
- Published: 29 Feb 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Novel Class Discovery for Long-tailed Recognition
Chuyu Zhang, Ruijie Xu, Xuming He
- Published: 17 Aug 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Expected Pinball Loss For Quantile Regression And Inverse CDF Estimation
Taman Narayan, Serena Lutong Wang, Kevin Robert Canini, Maya Gupta
- Published: 22 Feb 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Individual Privacy Accounting for Differentially Private Stochastic Gradient Descent
Da Yu, Gautam Kamath, Janardhan Kulkarni, Tie-Yan Liu, Jian Yin, Huishuai Zhang
- Published: 05 Sept 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
$k$-Mixup Regularization for Deep Learning via Optimal Transport
Kristjan Greenewald, Anming Gu, Mikhail Yurochkin, Justin Solomon, Edward Chien
- Published: 14 Sept 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Execution-based Code Generation using Deep Reinforcement Learning
Parshin Shojaee, Aneesh Jain, Sindhu Tipirneni, Chandan K. Reddy
- Published: 28 Jul 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Some Supervision Required: Incorporating Oracle Policies in Reinforcement Learning via Epistemic Uncertainty Metrics
TMLR Paper1080 Authors
- 21 Apr 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Exploiting Category Names for Few-Shot Classification with Vision-Language Models
TMLR Paper1079 Authors
- 20 Apr 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Data Augmentation is a Hyperparameter: Cherry-picked Self-Supervision for Unsupervised Anomaly Detection is Creating the Illusion of Success
Jaemin Yoo, Tiancheng Zhao, Leman Akoglu
- Published: 23 Jul 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Projected Randomized Smoothing for Certified Adversarial Robustness
Samuel Pfrommer, Brendon G. Anderson, Somayeh Sojoudi
- Published: 06 Oct 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone