3/18/2026
Scalable Sample-Level Causal Discovery in Event Sequences via Autoregressive Density Estimation
TRACE framework uses autoregressive density estimation for causal discovery in single event sequences.
3/18/2026
A Scalable Approach to Solving Simulation-Based Network Security Games
MetaDOAR meta-controller applies multi-agent reinforcement learning to large-scale cyber-network security games.
3/18/2026
Efficient Continual Learning in Language Models via Thalamically Routed Cortical Columns
TRC² architecture enables LLMs to continually learn and adapt without catastrophic forgetting through specialized decoder design.
3/18/2026
Transit Network Design with Two-Level Demand Uncertainties: A Machine Learning and Contextual Stochastic Optimization Framework
Framework combining ML and contextual stochastic optimization for transit network design under demand uncertainty.
3/18/2026
AOI: Turning Failed Trajectories into Training Signals for Autonomous Cloud Diagnosis
AOI framework enabling LLM agents to improve from failed cloud diagnosis trajectories in SRE automation with safety constraints.
3/18/2026
Thin Keys, Full Values: Reducing KV Cache via Low-Dimensional Attention Selection
KV cache optimization using low-dimensional attention selection to reduce transformer memory with O(log N) key dimensions.
3/18/2026
Test-Time Adaptation via Many-Shot Prompting: Benefits, Limits, and Pitfalls
Study examining many-shot prompting for test-time LLM adaptation, analyzing reliability and limits of in-context learning scaling.
3/18/2026
Relaxed Efficient Acquisition of Context and Temporal Features
Active feature acquisition method for biomedical applications optimizing measurement selection under temporal and cost constraints.
3/18/2026
Attention Sinks Are Provably Necessary in Softmax Transformers: Evidence from Trigger-Conditional Tasks
Theoretical analysis proving attention sinks are functionally necessary in softmax transformers for certain tasks.
3/18/2026
Overcoming the Modality Gap in Context-Aided Forecasting
Research addressing multimodal model underperformance in context-aided forecasting via improved context quality assessment.
3/18/2026
Enhanced Atrial Fibrillation Prediction in ESUS Patients with Hypergraph-based Pre-training
Machine learning method using hypergraph pre-training to improve atrial fibrillation prediction in stroke patients.
3/18/2026
OrigamiBench: An Interactive Environment to Synthesize Flat-Foldable Origamis
Interactive benchmark environment for synthesizing flat-foldable origamis, testing AI systems' planning and causal reasoning in physical domains.
3/18/2026
Artificial intelligence-enabled single-lead ECG for non-invasive hyperkalemia detection: development, multicenter validation, and proof-of-concept deployment
AI-ECG system using foundation models for non-invasive hyperkalemia detection and handheld deployment in clinical settings.
3/18/2026
High-Fidelity Compression of Seismic Velocity Models via SIREN Auto-Decoders
Neural compression framework using SIREN auto-decoders for high-fidelity compression of multi-structural seismic velocity models.
3/18/2026
GNNVerifier: Graph-based Verifier for LLM Task Planning
Graph-based verifier for LLM task planning that identifies and corrects hallucinations and flaws in agent-generated plans.
3/18/2026
Integrating Weather Foundation Model and Satellite to Enable Fine-Grained Solar Irradiance Forecasting
Multimodal framework combining weather foundation model with satellite data for fine-grained solar irradiance forecasting.
3/18/2026
Informative Perturbation Selection for Uncertainty-Aware Post-hoc Explanations
Post-hoc model-agnostic explanation method using informative perturbation selection for uncertainty-aware interpretability of black-box ML models.
3/18/2026
Muon Converges under Heavy-Tailed Noise: Nonconvex H\"{o}lder-Smooth Empirical Risk Minimization
Convergence analysis of Muon optimizer under heavy-tailed noise for nonconvex optimization in large-scale deep neural network training.
3/18/2026
More Test-Time Compute Can Hurt: Overestimation Bias in LLM Beam Search
Analysis showing wider beam search in LLMs can degrade output quality due to overestimation bias in noisy scorer outputs, with theoretical grounding.
3/18/2026
The PokeAgent Challenge: Competitive and Long-Context Learning at Scale
Large-scale benchmark for AI agents combining partial observability, game-theoretic reasoning, and long-horizon planning in Pokemon battle environment.
3/18/2026
Physics-Informed Neural Systems for the Simulation of EUV Electromagnetic Wave Diffraction from a Lithography Mask
Physics-informed neural networks and neural operators for simulating EUV electromagnetic wave diffraction in lithography mask applications.
3/18/2026
From structure mining to unsupervised exploration of atomic octahedral networks
Unsupervised machine learning approach for automated geometric parsing and classification of atomic octahedral networks in crystalline materials.
3/18/2026
Convergence Bounds for Sequential Monte Carlo on Multimodal Distributions using Soft Decomposition
Theoretical analysis proving convergence bounds for Sequential Monte Carlo algorithm on multimodal distributions using soft decomposition.
3/18/2026
Making Multi-Axis Gaussian Graphical Models Scalable to Millions of Cells
Scalable statistical method for learning multi-axis Gaussian graphical models on biological network datasets with millions of cells.
3/18/2026
A-UTE: Advection Informed, Uncertainty Aware Temperature Emulator
Deep learning emulator for Earth system climate modeling that reduces computational cost while maintaining stability in multi-decadal projections.
3/18/2026
FreeGaussian: Annotation-free Control of Articulated Objects via 3D Gaussian Splats with Flow Derivatives
Annotation-free method for reconstructing controllable 3D Gaussian splats of articulated objects from monocular video using flow derivatives.
3/18/2026
Generate Any Scene: Scene Graph Driven Data Synthesis for Visual Generation Training
Data synthesis engine using scene graphs to improve compositional generalization and semantic alignment in text-to-image generation models.
3/18/2026
Generative AI Training and Copyright Law
Legal analysis of copyright issues in generative AI training data collection and fair use doctrine across jurisdictions.
3/18/2026
Inference for Deep Neural Network Estimators in Generalized Nonparametric Models
Inference framework for DNN estimators in generalized nonparametric models, enabling statistical inference on deep neural network predictions for categorical outcomes.
3/18/2026
CHARM: Calibrating Reward Models With Chatbot Arena Scores
CHARM method calibrating reward models using Chatbot Arena scores to mitigate model preference bias, improving alignment of LLMs through RLHF.
3/18/2026
Towards Robust Multimodal Physiological Foundation Models: Handling Arbitrary Missing Modalities
PhysioOmni foundation model for multimodal physiological signals handling arbitrary missing modalities across EEG, ECG, EOG, EMG for healthcare and brain-computer interfaces.
3/18/2026
NeuroSim V1.5: Improved Software Backbone for Benchmarking Compute-in-Memory Accelerators with Device and Circuit-level Non-idealities
NeuroSim V1.5 benchmarking software for compute-in-memory accelerators with non-ideal device and circuit modeling, addressing energy bottlenecks in AI hardware.
3/18/2026
ALPCAH: Subspace Learning for Sample-wise Heteroscedastic Data
ALPCAH subspace learning method for heteroscedastic data with sample-wise varying noise, extending PCA for mixed-quality data dimensionality reduction.
3/18/2026
On Unbiased Low-Rank Approximation with Minimum Distortion
Algorithm for unbiased low-rank matrix approximation minimizing expected Frobenius norm error while maintaining rank constraints and unbiased expectation.
3/18/2026
BiomedSQL: Text-to-SQL for Scientific Reasoning on Biomedical Knowledge Bases
BiomedSQL benchmark for text-to-SQL generation requiring scientific reasoning over biomedical knowledge bases, evaluating LLM capability for complex analytical tasks.
3/18/2026
Near-Optimal Clustering in Mixture of Markov Chains
Clustering algorithm for trajectory data from mixture of unknown Markov chains with instance-dependent error bounds using spectral methods and injective Euclidean embeddings.
3/18/2026
Learning to Diagnose Privately: DP-Powered LLMs for Radiology Report Classification
DP-Powered LLMs for privacy-preserving radiology report classification, enabling differential privacy in healthcare diagnosis and abnormality classification workflows.
3/18/2026
TempCore: Are Video QA Benchmarks Temporally Grounded? A Frame Selection Sensitivity Analysis and Benchmark
TempCore benchmark analyzing whether video QA models genuinely require temporal frame selection, introducing Frame Selection Sensitivity metric for VLM diagnostic evaluation.
3/18/2026
CardioComposer: Leveraging Differentiable Geometry for Compositional Control of Anatomical Diffusion Models
CardioComposer framework using differentiable geometry for controllable 3D cardiovascular anatomy generation from ellipsoidal primitives, balancing geometric control and realism.
3/18/2026
Feature Attribution in 5G Intrusion Detection: A Statistical vs. Logic-Based Comparison
Comparison of statistical and logic-based XAI techniques for interpreting ML security alerts in 5G intrusion detection systems, enabling actionable incident response.
3/18/2026
ERGO: Efficient High-Resolution Visual Understanding for Vision-Language Models
ERGO framework for efficient high-resolution image processing in vision-language models using coarse-to-fine reasoning pipeline with two-stage visual token reduction.
3/18/2026
Hilbert: Recursively Building Formal Proofs with Informal Reasoning
Hilbert system recursively building formal proofs by combining informal LLM reasoning with Lean 4 verification, bridging gap between mathematical reasoning and formal proof generation.
3/18/2026
Position-Blind Ptychography: Viability of image reconstruction via data-driven variational inference
Novel inverse problem for ptychographic phase retrieval without position knowledge, recovering scan positions jointly with images using variational inference for X-ray imaging.
3/18/2026
Zephyrus: An Agentic Framework for Weather Science
Zephyrus framework combining foundation models for weather forecasting with LLM reasoning to enable language-based scientific workflows on meteorological datasets.
3/18/2026
Malice in Agentland: Down the Rabbit Hole of Backdoors in the AI Supply Chain
Security research on backdoor attacks in AI agent supply chains through poisoned interaction data collection, formalizing threat models for finetuned web browsing and tool-use agents.
3/18/2026
When a Robot is More Capable than a Human: Learning from Constrained Demonstrators
Robotics research on learning from constrained demonstrations where expert interfaces limit optimal behavior demonstration, using techniques like kinesthetic teaching and sim-to-real transfer.
3/18/2026
Strategic Costs of Perceived Bias in Fair Selection
Game-theoretic model analyzing bias in meritocratic selection systems like admissions and hiring, examining how AI shapes perceived candidate value across socioeconomic groups.
3/18/2026
TAUE: Training-free Noise Transplant and Cultivation Diffusion Model
Training-free diffusion model enabling layer-wise control in text-to-image generation through noise transplantation without fine-tuning or large datasets.
3/18/2026
DRL-Based Beam Positioning for LEO Satellite Constellations with Weighted Least Squares
Deep Q-Network learns satellite weighting for CSI-free multi-satellite positioning in LEO constellations combined with weighted least squares estimation.
3/18/2026
Coherent Audio-Visual Editing via Conditional Audio Generation Following Video Edits
Joint audio-visual editing pipeline with video-to-audio generation model conditioning on source audio, target video, and text prompts for coherent edits.