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• Exponential-Family Harmoniums with Neural Sufficient Statistics

  Azwar Abdulsalam, Joseph G. Makin

  15284-15292

  2025-04-11

• Little Is Enough: Boosting Privacy by Sharing Only Hard Labels in Federated Semi-Supervised Learning

  Amr Abourayya, Jens Kleesiek, Kanishka Rao, Erman Ayday, Bharat Rao, Geoffrey I. Webb, Michael Kamp

  15293-15301

  2025-04-11

• Bootstrapped Reward Shaping

  Jacob Adamczyk, Volodymyr Makarenko, Stas Tiomkin, Rahul V. Kulkarni

  15302-15310

  2025-04-11

• Markov Balance Satisfaction Improves Performance in Strictly Batch Offline Imitation Learning

  Rishabh Agrawal, Nathan Dahlin, Rahul Jain, Ashutosh Nayyar

  15311-15319

  2025-04-11

• Walking the Web of Concept-Class Relationships in Incrementally Trained Interpretable Models

  Susmit Agrawal, Deepika Vemuri, Sri Siddarth Chakaravarthy P, Vineeth N. Balasubramanian

  15320-15329

  2025-04-11

• Active Fourier Auditor for Estimating Distributional Properties of ML Models

  Ayoub Ajarra, Bishwamittra Ghosh, Debabrota Basu

  15330-15338

  2025-04-11

• Improving Deep Learning Speed and Performance Through Synaptic Neural Balance

  Antonios Alexos, Ian Domingo, Pierre Baldi

  15339-15346

  2025-04-11

• Even-if Explanations: Formal Foundations, Priorities and Complexity

  Gianvincenzo Alfano, Sergio Greco, Domenico Mandaglio, Francesco Parisi, Reza Shahbazian, Irina Trubitsyna

  15347-15355

  2025-04-11

• Masked Language Modeling Becomes Conditional Density Estimation for Tabular Data Synthesis

  Seunghwan An, Gyeongdong Woo, Jaesung Lim, ChangHyun Kim, Sungchul Hong, Jong-June Jeon

  15356-15364

  2025-04-11

• Unleashing the Potential of Model Bias for Generalized Category Discovery

  Wenbin An, Haonan Lin, Jiahao Nie, Feng Tian, Wenkai Shi, Yaqiang Wu, Qianying Wang, Ping Chen

  15365-15373

  2025-04-11

• Approximating Metric Magnitude of Point Sets

  Rayna Andreeva, James Ward, Primoz Skraba, Jie Gao, Rik Sarkar

  15374-15381

  2025-04-11

• On the Robustness of Distributed Machine Learning Against Transfer Attacks

  Sebastien Andreina, Pascal Zimmer, Ghassan Karame

  15382-15390

  2025-04-11

• Gaussian Graphical Modelling Without Independence Assumptions for Uncentered Data

  Bailey Andrew, David R. Westhead, Luisa Cutillo

  15391-15398

  2025-04-11

• When Can We Approximate Wide Contrastive Models with Neural Tangent Kernels and Principal Component Analysis?

  Gautham Govind Anil, Pascal Esser, Debarghya Ghoshdastidar

  15399-15407

  2025-04-11

• When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning

  Naheed Anjum Arafat, Debabrota Basu, Yulia Gel, Yuzhou Chen

  15408-15416

  2025-04-11

• Neural Combinatorial Clustered Bandits for Recommendation Systems

  Baran Atalar, Carlee Joe-Wong

  15417-15426

  2025-04-11

• Parallel-Learning of Invariant and Tempo-variant Attributes of Single-Lead Cardiac Signals: PLITA

  Adrian Atienza, Jakob E. Bardram, Sadasivan Puthusserypady

  15427-15435

  2025-04-11

• List Update with Prediction

  Yossi Azar, Shahar Lewkowicz, Varun Suriyanarayana

  15436-15444

  2025-04-11

• Cradle-VAE: Enhancing Single-Cell Gene Perturbation Modeling with Counterfactual Reasoning-based Artifact Disentanglement

  Seungheun Baek, Soyon Park, Yan Ting Chok, Junhyun Lee, Jueon Park, Mogan Gim, Jaewoo Kang

  15445-15452

  2025-04-11

• RAT: Adversarial Attacks on Deep Reinforcement Agents for Targeted Behaviors

  Fengshuo Bai, Runze Liu, Yali Du, Ying Wen, Yaodong Yang

  15453-15461

  2025-04-11

• FSL-Rectifier: Rectify Outliers in Few-Shot Learning via Test-Time Augmentation

  Yunwei Bai, Ying Kiat Tan, Shiming Chen, Yao Shu, Tsuhan Chen

  15462-15471

  2025-04-11

• How Not to Stitch Representations to Measure Similarity: Task Loss Matching Versus Direct Matching

  András Balogh, Márk Jelasity

  15472-15480

  2025-04-11

• Improved Fixed-Parameter Bounds for Min-Sum-Radii and Diameters k-Clustering and Their Fair Variants

  Sandip Banerjee, Yair Bartal, Lee-Ad Gottlieb, Alon Hovav

  15481-15488

  2025-04-11

• EFSkip: A New Error Feedback with Linear Speedup for Compressed Federated Learning with Arbitrary Data Heterogeneity

  Hongyan Bao, Pengwen Chen, Ying Sun, Zhize Li

  15489-15497

  2025-04-11

• On the Trainability and Classical Simulability of Learning Matrix Product States Variationally

  Afrad Basheer, Yuan Feng, Christopher Ferrie, Sanjiang Li, Hakop Pashayan

  15498-15506

  2025-04-11