TMLR Submissions

Provable Guarantees for Sparsity Recovery with Deterministic Missing Data Patterns
Chuyang Ke, Jean Honorio
- Published: 13 Feb 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Unifying Generative Models with GFlowNets and Beyond
TMLR Paper1505 Authors
- 25 Aug 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
The (Un)Scalability of Informed Heuristic Function Estimation in NP-Hard Search Problems
Sumedh Pendurkar, Taoan Huang, Brendan Juba, Jiapeng Zhang, Sven Koenig, Guni Sharon
- Published: 19 Nov 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Do we need to estimate the variance in robust mean estimation?
TMLR Paper1503 Authors
- 24 Aug 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Exact Inference with Latent Variables in an Arbitrary Domain
TMLR Paper1502 Authors
- 24 Aug 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian Languages
Jay Gala, Pranjal A Chitale, A K Raghavan, Varun Gumma, Sumanth Doddapaneni, Aswanth Kumar M, Janki Atul Nawale, Anupama Sujatha, Ratish Puduppully, Vivek Raghavan, Pratyush Kumar, Mitesh M Khapra, Raj Dabre, Anoop Kunchukuttan
- Published: 20 Dec 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Temporally Rich Deep Learning Models for Magnetoencephalography
Tim Chard, Mark Dras, Paul Sowman, Steve Cassidy, Jia Wu
- Published: 30 Jan 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Multi-Grid Tensorized Fourier Neural Operator for High-Resolution PDEs
TMLR Paper1499 Authors
- 23 Aug 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Improving Native CNN Robustness with Filter Frequency Regularization
Jovita Lukasik, Paul Gavrikov, Janis Keuper, Margret Keuper
- Published: 26 Dec 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Training DNNs Resilient to Adversarial and Random Bit-Flips by Learning Quantization Ranges
Kamran Chitsaz, Goncalo Mordido, Jean-Pierre David, François Leduc-Primeau
- Published: 06 Nov 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
A Review of the Applications of Deep Learning-Based Emergent Communication
Brendon Boldt, David R Mortensen
- Published: 05 Feb 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Synaptic Interaction Penalty: Appropriate Penalty Term for Energy-Efficient Spiking Neural Networks
Kazuma Suetake, Takuya Ushimaru, Ryuji Saiin, Yoshihide Sawada
- Published: 05 Jan 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
The Kernel Perspective on Dynamic Mode Decomposition
TMLR Paper1492 Authors
- 22 Aug 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
FREED++: Improving RL Agents for Fragment-Based Molecule Generation by Thorough Reproduction
Alexander Telepov, Artem Tsypin, Kuzma Khrabrov, Sergey Yakukhnov, Pavel Strashnov, Petr Zhilyaev, Egor Rumiantsev, Daniel Ezhov, Manvel Avetisian, Olga Popova, Artur Kadurin
- Published: 29 Dec 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Preliminary Analysis of Adversarial Susceptibility in Neural Networks via Analogy to Chaos-Theoretic Sensitive Dependence
TMLR Paper1489 Authors
- 21 Aug 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Learning Search Space Boundaries Improves Supernet Training
TMLR Paper1487 Authors
- 18 Aug 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Latent State Models of Training Dynamics
Michael Y. Hu, Angelica Chen, Naomi Saphra, Kyunghyun Cho
- Published: 21 Nov 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Local Function Complexity for Active Learning via Mixture of Gaussian Processes
Danny Panknin, Stefan Chmiela, Klaus Robert Muller, Shinichi Nakajima
- Published: 08 Dec 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Benchmarks for Physical Reasoning AI
Andrew Melnik, Robin Schiewer, Moritz Lange, Andrei Ioan Muresanu, mozhgan saeidi, Animesh Garg, Helge Ritter
- Published: 18 Dec 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Revisiting Discrete Soft Actor-Critic
TMLR Paper1483 Authors
- 18 Aug 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Conditional Sampling of Variational Autoencoders via Iterated Approximate Ancestral Sampling
Vaidotas Simkus, Michael U. Gutmann
- Published: 08 Nov 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
A Case Study of Low Ranked Self-Expressive Structures in Neural Network Representations
TMLR Paper1481 Authors
- 17 Aug 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Targeted Active Learning for Bayesian Decision-Making
TMLR Paper1480 Authors
- 16 Aug 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Controlling the Inductive Bias of Wide Neural Networks by Modifying the Kernel’s Spectrum
Amnon Geifman, Daniel Barzilai, Ronen Basri, Meirav Galun
- Published: 08 Mar 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Controlling Federated Learning for Covertness
Adit Jain, Vikram Krishnamurthy
- Published: 08 Feb 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone