TMLR Submissions

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
Bayesian Inference for Sequence Mixture Density Networks using Bézier Curve Gaussian Processes
TMLR Paper1475 Authors
- 15 Aug 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
SMGRL: Scalable Multi-resolution Graph Representation Learning
TMLR Paper1474 Authors
- 15 Aug 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Variational Causal Dynamics: Discovering Modular World Models from Interventions
Anson Lei, Bernhard Schölkopf, Ingmar Posner
- Published: 30 Nov 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Towards fully covariant machine learning
Soledad Villar, David W Hogg, Weichi Yao, George A Kevrekidis, Bernhard Schölkopf
- Published: 25 Jan 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Federated Classification in Hyperbolic Spaces via Secure Aggregation of Convex Hulls
Saurav Prakash, Jin Sima, Chao Pan, Eli Chien, Olgica Milenkovic
- Published: 16 Jan 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Differentially Private Optimizers Can Learn Adversarially Robust Models
Zhiqi Bu, Yuan Zhang
- Published: 21 Nov 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Understanding the robustness difference between stochastic gradient descent and adaptive gradient methods
Avery Ma, Yangchen Pan, Amir-massoud Farahmand
- Published: 28 Nov 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Data-Dependent Generalization Bounds for Neural Networks with ReLU
Harsh Pandey, Amitabha Bagchi, Srikanta J. Bedathur, Arindam Bhattacharya
- Published: 04 Feb 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Step-size Optimization for Continual Learning
TMLR Paper1466 Authors
- 11 Aug 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
A Combinatorial Semi-Bandit Approach to Charging Station Selection for Electric Vehicles
Niklas Åkerblom, Morteza Haghir Chehreghani
- Published: 17 Nov 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone