- $O(_sqrt{T})$ Static Regret and Instance Dependent Constraint Violation for Constrained Online Convex Optimization
- $Q_sharp$_ Provably Optimal Distributional RL for LLM Post-Training
- $_Delta _mathrm{Energy}$_ Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization
- $_Psi$-Sampler_ Initial Particle Sampling for SMC-Based Inference-Time Reward Alignment in Score Models
- $_boldsymbol{_lambda}$-Orthogonality Regularization for Compatible Representation Learning
- $_epsilon$-Seg_ Sparsely Supervised Semantic Segmentation of Microscopy Data
- $_mathcal{X}^2$-DFD_ A framework for e$_mathcal{X}$plainable and e$_mathcal{X}$tendable Deepfake Detection
- $_mu$PC_ Scaling Predictive Coding to 100+ Layer Networks
- $_textit{HiMaCon_}$ Discovering Hierarchical Manipulation Concepts from Unlabeled Multi-Modal Data
- $_textit{Hyper-GoalNet}$_ Goal-Conditioned Manipulation Policy Learning with HyperNetworks
- $_texttt{BetaConform}$_ Efficient MAP Estimation of LLM Ensemble Judgment Performance with Prior Transfer
- $_texttt{G1}$_ Teaching LLMs to Reason on Graphs with Reinforcement Learning
- $_texttt{STRCMP}$_ Integrating Graph Structural Priors with Language Models for Combinatorial Optimization
- $_text{G}^2_text{M}$_ A Generalized Gaussian Mirror Method to Boost Feature Selection Power
- $_text{S}^2$Q-VDiT_ Accurate Quantized Video Diffusion Transformer with Salient Data and Sparse Token Distillation
- $i$MIND_ Insightful Multi-subject Invariant Neural Decoding
- 1000 Layer Networks for Self-Supervised RL_ Scaling Depth Can Enable New Goal-Reaching Capabilities
- 1000+ FPS 4D Gaussian Splatting for Dynamic Scene Rendering
- 3BASiL_ An Algorithmic Framework for Sparse plus Low-Rank Compression of LLMs
- 3D Equivariant Visuomotor Policy Learning via Spherical Projection
- 3D Gaussian Flats_ Hybrid 2D_3D Photometric Scene Reconstruction
- 3D Gaussian Splatting based Scene-independent Relocalization with Unidirectional and Bidirectional Feature Fusion
- 3D Human Pose Estimation with Muscles
- 3D Interaction Geometric Pre-training for Molecular Relational Learning
- 3D Visual Illusion Depth Estimation
- 3D-Agent_ A Tri-Modal Multi-Agent Responsive Framework for Comprehensive 3D Object Annotation
- 3D-GSRD_ 3D Molecular Graph Auto-Encoder with Selective Re-mask Decoding
- 3D-Prover_ Diversity Driven Theorem Proving With Determinantal Point Processes
- 3DID_ Direct 3D Inverse Design for Aerodynamics with Physics-Aware Optimization
- 3DLLM-Mem_ Long-Term Spatial-Temporal Memory for Embodied 3D Large Language Model
- 3DOT_ Texture Transfer for 3DGS Objects from a Single Reference Image
- 3DPE-Gaze_Unlocking the Potential of 3D Facial Priors for Generalized Gaze Estimation
- 3DRS_ MLLMs Need 3D-Aware Representation Supervision for Scene Understanding
- 4D-LRM_ Large Space-Time Reconstruction Model From and To Any View at Any Time
- 4D-VLA_ Spatiotemporal Vision-Language-Action Pretraining with Cross-Scene Calibration
- 4D3R_ Motion-Aware Neural Reconstruction and Rendering of Dynamic Scenes from Monocular Videos
- 4DGCPro_ Efficient Hierarchical 4D Gaussian Compression for Progressive Volumetric Video Streaming
- 4DGT_ Learning a 4D Gaussian Transformer Using Real-World Monocular Videos
- 4KAgent_ Agentic Any Image to 4K Super-Resolution
- 70% Size, 100% Accuracy_ Lossless LLM Compression for Efficient GPU Inference via Dynamic-Length Float (DFloat11)
- A Bayesian Approach to Contextual Dynamic Pricing using the Proportional Hazards Model with Discrete Price Data
- A Bayesian Fast-Slow Framework to Mitigate Interference in Non-Stationary Reinforcement Learning
- A Beyond-Worst-Case Analysis of Greedy k-means++
- A Black-Box Debiasing Framework for Conditional Sampling
- A Cautionary Tale on Integrating Studies with Disparate Outcome Measures for Causal Inference
- A Circular Argument_ Does RoPE need to be Equivariant for Vision_
- A Clean Slate for Offline Reinforcement Learning
- A Closed-Form Solution for Fast and Reliable Adaptive Testing
- A Closer Look at Graph Transformers_ Cross-Aggregation and Beyond
- A Closer Look at Model Collapse_ From a Generalization-to-Memorization Perspective