3/11/2026
Structured Matrix Scaling for Multi-Class Calibration
Post-hoc calibration method using structured matrix scaling for improving probability estimates in multi-class classifiers.
3/11/2026
Lightweight Time Series Data Valuation on Time Series Foundation Models via In-Context Finetuning
Lightweight data valuation method for time-series foundation models using in-context learning instead of expensive influence functions.
3/11/2026
TSFM in-context learning for time-series classification of bearing-health status
Uses time-series foundation models with in-context learning for bearing-health classification without fine-tuning.
3/11/2026
Periodic Asynchrony: An On-Policy Approach for Accelerating LLM Reinforcement Learning
Proposes periodic asynchrony to separate inference and training deployment for faster LLM reinforcement learning post-training efficiency.
3/11/2026
SA$^{2}$GFM: Enhancing Robust Graph Foundation Models with Structure-Aware Semantic Augmentation
Graph foundation model framework with structure-aware augmentation for improved robustness against adversarial attacks and domain noise.
3/11/2026
Directional Textual Inversion for Personalized Text-to-Image Generation
Improves textual inversion for personalized text-to-image generation by addressing embedding norm inflation issues in CLIP.
3/11/2026
The Affine Divergence: Aligning Activation Updates Beyond Normalisation
Proposes affine divergence method to align activation updates during gradient descent optimization in neural networks.
3/11/2026
Automating Forecasting Question Generation and Resolution for AI Evaluation
Automates generation and resolution of diverse forecasting questions for evaluating AI systems' general intelligence capabilities.
3/11/2026
Rewards as Labels: Revisiting RLVR from a Classification Perspective
Identifies gradient issues in RLVR methods like GRPO used for LLM reasoning tasks, proposing improvements to reward-based supervision.
3/11/2026
Infusion: Shaping Model Behavior by Editing Training Data via Influence Functions
Framework using influence functions to edit training data and induce targeted model behavior changes for data poisoning robustness evaluation.
3/11/2026
B-DENSE: Branching For Dense Ensemble Network Supervision Efficiency
Diffusion model distillation technique using branching ensemble networks with dense supervision for accelerated sampling.
3/11/2026
MolCrystalFlow: Molecular Crystal Structure Prediction via Flow Matching
Flow-matching generative model for predicting periodic molecular crystal structures handling large molecules and complex interactions.
3/11/2026
Continual uncertainty learning
Deep reinforcement learning approach for robust control under multiple uncertainties combining domain randomization and uncertainty learning.
3/11/2026
Breaking the Factorization Barrier in Diffusion Language Models
Addresses factorization barrier in diffusion language models through architectural changes enabling efficient parallel token generation.
3/11/2026
Detecting Transportation Mode Using Dense Smartphone GPS Trajectories and Transformer Models
Transformer-based model (SpeedTransformer) for transportation mode detection from smartphone GPS trajectories outperforming LSTM.
3/11/2026
DUEL: Exact Likelihood for Masked Diffusion via Deterministic Unmasking
Framework (DUEL) for computing exact likelihood in masked diffusion models by addressing test-time distribution mismatch in ELBO.
3/11/2026
Reasoning as Gradient: Scaling MLE Agents Beyond Tree Search
LLM-based agent (GOME) for machine learning engineering using gradient-based reasoning instead of tree search for efficient optimization.
3/11/2026
The Geometric Inductive Bias of Grokking: Bypassing Phase Transitions via Architectural Topology
Mechanistic interpretability study using architectural topology modifications to investigate grokking and delayed generalization in Transformers.
3/11/2026
Censored LLMs as a Natural Testbed for Secret Knowledge Elicitation
Study on eliciting truthful responses from censored LLMs and detecting deception using naturally-occurring dishonesty patterns.
3/11/2026
Omni-Masked Gradient Descent: Memory-Efficient Optimization via Mask Traversal with Improved Convergence
Memory-efficient optimization method for training large language models with mask traversal and convergence guarantees for nonconvex settings.
3/11/2026
Khatri-Rao Clustering for Data Summarization
Clustering algorithm for data summarization using Khatri-Rao product to reduce redundancies in centroid-based cluster prototypes.
3/11/2026
OptiRoulette Optimizer: A New Stochastic Meta-Optimizer for up to 5.3x Faster Convergence
Meta-optimizer that dynamically selects update rules during training with PyTorch compatibility, achieving 5.3x faster convergence.
3/11/2026
Property-driven Protein Inverse Folding With Multi-Objective Preference Alignment
Multi-objective protein sequence design balancing designability with competing properties like solubility and thermostability using preference alignment.
3/11/2026
Adversarial Latent-State Training for Robust Policies in Partially Observable Domains
Reinforcement learning approach for robust policies under latent distribution shift in partially observable domains using adversarial training.
3/11/2026
Latent Generative Models with Tunable Complexity for Compressed Sensing and other Inverse Problems
Generative models with tunable complexity for inverse problems, extending diffusion models and normalizing flows with adaptive dimensionality.
3/11/2026
FedPrism: Adaptive Personalized Federated Learning under Non-IID Data
Federated learning framework addressing non-IID data distribution through personalization strategies for heterogeneous client data.
3/11/2026
Impermanent: A Live Benchmark for Temporal Generalization in Time Series Forecasting
Benchmark for evaluating time-series forecasting foundation models with temporal generalization, addressing train-test contamination issues in static splits.
3/11/2026
Enhancing Computational Efficiency in Multiscale Systems Using Deep Learning of Coordinates and Flow Maps
Deep learning method for learning coordinates and flow maps to enhance computational efficiency in multiscale dynamical systems.
3/11/2026
DRUPI: Dataset Reduction Using Privileged Information
DRUPI: dataset reduction method using privileged information beyond input-label pairs for dataset condensation tasks.
3/11/2026
Learning responsibility allocations for multi-agent interactions: A differentiable optimization approach with control barrier functions
Differentiable optimization approach using control barrier functions to learn safe responsibility allocations in multi-agent autonomous systems.
3/11/2026
Adaptive and Stratified Subsampling for High-Dimensional Robust Estimation
Adaptive importance sampling and stratified subsampling estimators for robust high-dimensional sparse regression with heavy-tailed noise.
3/11/2026
Prognostics for Autonomous Deep-Space Habitat Health Management under Multiple Unknown Failure Modes
Prognostics system for autonomous deep-space habitat health monitoring and remaining useful life prediction under multiple failure modes.
3/11/2026
Morphological-Symmetry-Equivariant Heterogeneous Graph Neural Network for Robotic Dynamics Learning
MS-HGNN: morphological-symmetry-equivariant heterogeneous graph neural network for robotic dynamics learning with structural priors.
3/11/2026
CuriousBot: Interactive Mobile Exploration via Actionable 3D Relational Object Graph
CuriousBot: mobile robotic exploration system using actionable 3D relational object graphs for interactive environment exploration.
3/11/2026
A Distributional Treatment of Real2Sim2Real for Object-Centric Agent Adaptation in Vision-Driven Deformable Linear Object Manipulation
Real2Sim2Real framework using likelihood-free inference for visual robotic manipulation of deformable linear objects.
3/11/2026
Concept Drift Guided LayerNorm Tuning for Efficient Multimodal Metaphor Identification
LayerNorm tuning method using concept drift for efficient multimodal metaphor identification in internet memes.
3/11/2026
UltraEdit: Training-, Subject-, and Memory-Free Lifelong Editing in Language Models
UltraEdit: training-free model editing approach for lifelong knowledge updates in LLMs without retraining or subject-specific data.
3/11/2026
Cooperative Game-Theoretic Credit Assignment for Multi-Agent Policy Gradients via the Core
CORA: cooperative game-theoretic credit assignment method for multi-agent reinforcement learning using core concepts for advantage allocation.
3/11/2026
Regret-Optimal Q-Learning with Low Cost for Single-Agent and Federated Reinforcement Learning
Regret-optimal Q-learning algorithms minimizing sample collection and policy switching costs in single-agent and federated reinforcement learning.
3/11/2026
ConLID: Supervised Contrastive Learning for Low-Resource Language Identification
Supervised contrastive learning approach for low-resource language identification to improve multilingual LLM pretraining corpus curation.
3/11/2026
Convergence Rate for the Last Iterate of Stochastic Gradient Descent Schemes
Research on convergence rates for stochastic gradient descent and heavy ball methods under convex and non-convex objectives using discrete Gronwall's inequality.
3/11/2026
Latent Policy Steering with Embodiment-Agnostic Pretrained World Models
Latent policy steering approach using embodiment-agnostic pretrained world models to leverage cross-embodiment datasets for robot learning.
3/11/2026
Robot Control Stack: A Lean Ecosystem for Robot Learning at Scale
Robot Control Stack ecosystem for scalable vision-language-action model training and deployment, replacing traditional robotics frameworks.
3/11/2026
Compose Your Policies! Improving Diffusion-based or Flow-based Robot Policies via Test-time Distribution-level Composition
Test-time composition method for enhancing diffusion-based robot control policies without additional training data or model fine-tuning.
3/11/2026
Latent Speech-Text Transformer
Latent Speech-Text Transformer improving compute efficiency of speech-text models by reducing token sequence length through latent representations.
3/11/2026
AlphaApollo: A System for Deep Agentic Reasoning
AlphaApollo agentic reasoning system addressing reasoning capacity and verification bottlenecks through multi-turn reasoning and trustworthy tool integration.
3/11/2026
Exploring Single Domain Generalization of LiDAR-based Semantic Segmentation under Imperfect Labels
Domain generalization approach for LiDAR semantic segmentation handling imperfect labels and sensor noise in autonomous driving scenarios.
3/11/2026
RECODE: Reasoning Through Code Generation for Visual Question Answering
RECODE agentic framework using code generation and derendering for verifiable visual reasoning on structured visuals with multimodal LLMs.
3/11/2026
RL-100: Performant Robotic Manipulation with Real-World Reinforcement Learning
RL-100 real-world robotic manipulation framework combining diffusion visuomotor policies with imitation and reinforcement learning via clipped PPO.
3/11/2026
Personalized Collaborative Learning with Affinity-Based Variance Reduction
Personalized collaborative learning framework with affinity-based variance reduction for heterogeneous multi-agent systems.