Links: arXiv
Abstract Reinforcement Learning with Verifiable Rewards (RLVR) has emerged as a powerful paradigm to improve Large Language Models on …
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Academic
Natural Language Processing
ChronoGraph: A Real-World Graph-Based Multivariate Time Series Dataset
Links: arXiv GitHub
Abstract We present ChronoGraph, a graph-structured multivariate time series forecasting dataset built from real-world production …
Academic
Generalization & Interpretability
Not All Splits Are Equal: Rethinking Attribute Generalization Across Unrelated Categories
Links: arXiv GitHub
Abstract Can models generalize attribute knowledge across semantically and perceptually dissimilar categories? While prior work …
Academic
Natural Language Processing
Rethinking Sparse Autoencoders: Select-and-Project for Fairness and Control from Encoder Features Alone
Links: arXiv
Abstract Sparse Autoencoders (SAEs) have proven valuable due to their ability to provide interpretable and steerable representations. …
Academic
Generalization & Interpretability
Learning (Approximately) Equivariant Networks via Constrained Optimization
Links: arXiv · GitHub
Abstract Equivariant neural networks are designed to respect symmetries through their architecture, boosting generalization and …
Docket: BTD-2414-C1 · US application: 19/378,395 · PTO filed: Nov 4, 2025 · Status: Filed · Technologies: Machine learning
Continuation patent …
Docket: BTD-2414 · US application: 19/378,391 · PTO filed: Nov 4, 2025 · Status: Filed · Technologies: Machine learning
Patent application on …
Docket: BTD-2511 · PTO filed: Sep 30, 2025 · Status: Filed · Technologies: Machine learning
US patent application on training deepfake detectors.
Academic
Natural Language Processing
Learning the Neighborhood: Contrast-Free Self-Supervised Molecular Graph Pretraining
Links: arXiv GitHub
Abstract High-quality molecular representations are essential for property prediction and molecular design, yet large labeled …
A team member served as NeurIPS Associate Program Chair (Associate PC), helping shape the conference’s review process and paper selection.