TMLR Submissions

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
Tackling Provably Hard Representative Selection via Graph Neural Networks
Mehran Kazemi, Anton Tsitsulin, Hossein Esfandiari, Mohammadhossein Bateni, Deepak Ramachandran, Bryan Perozzi, Vahab Mirrokni
- Published: 29 Jul 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Advantage Actor-Critic Training Framework Leveraging Lookahead Rewards for Automatic Question Generation
TMLR Paper1074 Authors
- 19 Apr 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Additive Poisson Process: Learning Intensity of Higher-Order Interaction in Poisson Processes
TMLR Paper1072 Authors
- 19 Apr 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Learning to Optimize Quasi-Newton Methods
Isaac Liao, Rumen Dangovski, Jakob Nicolaus Foerster, Marin Soljacic
- Published: 07 Sept 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Making a game out of exploration-exploitation
TMLR Paper1070 Authors
- 18 Apr 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Trusting the Untrustworthy: A Cautionary Tale on the Pitfalls of Training-based Rejection Option
TMLR Paper1068 Authors
- 18 Apr 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Calibrating and Improving Graph Contrastive Learning
MA KAILI, Garry YANG, Han Yang, Yongqiang Chen, James Cheng
- Published: 02 Jul 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
PAVI: Plate-Amortized Variational Inference
Louis Rouillard, Alexandre Le Bris, Thomas Moreau, Demian Wassermann
- Published: 15 Nov 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone