3/2/2026
Neural ensemble Kalman filter: Data assimilation for compressible flows with shocks
Neural ensemble Kalman filter for data assimilation in compressible flows with shocks, addressing spurious oscillations from bimodal distributions.
3/2/2026
On the Limits of Interpretable Machine Learning in Quintic Root Classification
Evaluates interpretability of ML models on polynomial root classification benchmark, testing decision trees, regression, and neural networks for structure recovery.
3/2/2026
Modelling and Simulation of Neuromorphic Datasets for Anomaly Detection in Computer Vision
Introduces ANTShapes, a simulator for neuromorphic vision datasets to address scarcity of Dynamic Vision Sensor data for anomaly detection research.
3/2/2026
Lap2: Revisiting Laplace DP-SGD for High Dimensions via Majorization Theory
Improves Laplace mechanism for differentially private SGD in high-dimensional models using majorization theory, applicable to LLM fine-tuning.
3/2/2026
Uncovering Physical Drivers of Dark Matter Halo Structures with Auxiliary-Variable-Guided Generative Models
Framework using auxiliary-variable-guided generative models to disentangle physical factors in dark matter halo representations.
3/2/2026
V-MORALS: Visual Morse Graph-Aided Estimation of Regions of Attraction in a Learned Latent Space
Topological method for reachability analysis in robotics using Morse graphs to estimate regions of attraction in learned latent spaces.
3/2/2026
Few-Shot Continual Learning for 3D Brain MRI with Frozen Foundation Models
Few-shot continual learning approach for 3D brain MRI using frozen foundation models with task-specific LoRA modules for tumor segmentation and brain age estimation.
3/2/2026
Partition Function Estimation under Bounded f-Divergence
Theoretical study of partition function estimation under bounded f-divergence with information-theoretic analysis.
3/2/2026
Component Centric Placement Using Deep Reinforcement Learning
Applies reinforcement learning to automated PCB component placement, addressing challenges like component size variation and wirelength constraints.
3/2/2026
Causal Identification from Counterfactual Data: Completeness and Bounding Results
Completeness and bounding results for causal identification using counterfactual data from Layer 3 of Pearl's Causal Hierarchy.
3/2/2026
VaSST: Variational Inference for Symbolic Regression using Soft Symbolic Trees
Probabilistic framework for symbolic regression using variational inference over soft symbolic trees for scientific discovery with uncertainty quantification.
3/2/2026
Evidential Neural Radiance Fields
Neural radiance field method incorporating uncertainty quantification capturing both aleatoric and epistemic uncertainty for 3D scene reconstruction.
3/2/2026
Construct, Merge, Solve & Adapt with Reinforcement Learning for the min-max Multiple Traveling Salesman Problem
Hybrid reinforcement learning approach (RL-CMSA) for solving min-max multiple traveling salesman problems with iterative construction and adaptation.
3/2/2026
Hyperdimensional Cross-Modal Alignment of Frozen Language and Image Models for Efficient Image Captioning
Efficient image captioning via hyperdimensional cross-modal alignment of frozen language and vision models without multimodal fine-tuning.
3/2/2026
Moment Matters: Mean and Variance Causal Graph Discovery from Heteroscedastic Observational Data
Causal discovery method distinguishing whether variables influence the mean versus variance of other variables in heteroscedastic data.
3/2/2026
Geodesic Semantic Search: Learning Local Riemannian Metrics for Citation Graph Retrieval
Retrieval system learning node-specific Riemannian metrics for geometry-aware semantic search on citation graphs.
3/2/2026
Active Learning for Planet Habitability Classification under Extreme Class Imbalance
Pool-based active learning approach for exoplanet habitability classification under extreme class imbalance.
3/2/2026
General Bayesian Policy Learning
General Bayes framework for policy learning where decision rules are the target rather than outcome prediction.
3/2/2026
Any Model, Any Place, Any Time: Get Remote Sensing Foundation Model Embeddings On Demand
Platform for standardized access to remote sensing foundation model embeddings across heterogeneous model formats and interfaces.
3/2/2026
A Boundary Integral-based Neural Operator for Mesh Deformation
Neural operator method using boundary integral formulation for efficient mesh deformation in computational geometry.
3/2/2026
From Static Benchmarks to Dynamic Protocol: Agent-Centric Text Anomaly Detection for Evaluating LLM Reasoning
Dynamic benchmarking protocol where AI agents autonomously generate, validate, and solve problems to evaluate LLM reasoning capabilities beyond static datasets.
3/2/2026
Predictive Hotspot Mapping for Data-driven Crime Prediction
Non-parametric crime prediction model using spatial hotspot mapping for law enforcement resource allocation.
3/2/2026
Operationalizing Longitudinal Causal Discovery Under Real-World Workflow Constraints
Framework for causal discovery in longitudinal systems accounting for institutional workflow constraints and partial ordering of operational data.
3/2/2026
GLUScope: A Tool for Analyzing GLU Neurons in Transformer Language Models
Open-source interpretability tool for analyzing gated activation functions (SwiGLU) in transformer neurons across recent language models.
3/2/2026
Enhancing Continual Learning for Software Vulnerability Prediction: Addressing Catastrophic Forgetting via Hybrid-Confidence-Aware Selective Replay for Temporal LLM Fine-Tuning
Addresses catastrophic forgetting in continual fine-tuning of LLMs for vulnerability detection in source code, using selective replay with LoRA on temporal distribution shifts.
3/2/2026
MI$^2$DAS: A Multi-Layer Intrusion Detection Framework with Incremental Learning for Securing Industrial IoT Networks
MI²DAS: multi-layer intrusion detection framework for IIoT with incremental learning to detect novel attacks in dynamic environments.
3/2/2026
A distributed semismooth Newton based augmented Lagrangian method for distributed optimization
Distributed optimization algorithm combining semismooth Newton method with augmented Lagrangian for network-based collaborative learning.
3/2/2026
Bandwidth-adaptive Cloud-Assisted 360-Degree 3D Perception for Autonomous Vehicles
Vehicle-to-Everything (V2X) communication approach for cloud-assisted perception in autonomous driving under latency constraints.
3/2/2026
Exploring Robust Intrusion Detection: A Benchmark Study of Feature Transferability in IoT Botnet Attack Detection
Benchmark study evaluating cross-domain transferability of flow-based feature sets across IoT and IIoT datasets for intrusion detection.
3/2/2026
RF-Agent: Automated Reward Function Design via Language Agent Tree Search
RF-Agent: automated reward function design for reinforcement learning using LLM-based tree search to optimize low-level control tasks.
3/2/2026
Experience-Guided Self-Adaptive Cascaded Agents for Breast Cancer Screening and Diagnosis with Reduced Biopsy Referrals
BUSD-Agent: cascaded multi-agent framework for breast ultrasound screening and diagnosis reducing biopsy referrals through selective decision-making.
3/2/2026
SegMate: Asymmetric Attention-Based Lightweight Architecture for Efficient Multi-Organ Segmentation
SegMate: lightweight 2.5D architecture for medical image segmentation achieving state-of-the-art accuracy with reduced computational requirements.
3/2/2026
Learning to Build: Autonomous Robotic Assembly of Stable Structures Without Predefined Plans
Autonomous robotic assembly framework using reinforcement learning for constructing stable structures without predefined plans.
3/2/2026
Benchmarking BERT-based Models for Sentence-level Topic Classification in Nepali Language
Benchmarking 10 BERT variants for Nepali sentence-level topic classification, evaluating multilingual and Indic-specific models.
3/2/2026
Inference-time optimization for experiment-grounded protein ensemble generation
Inference-time optimization for protein ensemble generation using experiment-guided diffusion with thermodynamic constraints.
3/2/2026
Jailbreak Foundry: From Papers to Runnable Attacks for Reproducible Benchmarking
Jailbreak Foundry: multi-agent system translating jailbreak papers into executable modules for unified benchmarking and reproducible LLM robustness evaluation.
3/2/2026
Data Driven Optimization of GPU efficiency for Distributed LLM Adapter Serving
Data-driven optimization pipeline for GPU efficiency in distributed LLM adapter serving, maximizing throughput with concurrent adapter hosting.
3/2/2026
Unsupervised Baseline Clustering and Incremental Adaptation for IoT Device Traffic Profiling
Two-stage unsupervised pipeline for IoT device traffic profiling with incremental model adaptation using density-based clustering.
3/2/2026
The Subjectivity of Monoculture
Analysis of monoculture in LLMs showing agreement metrics depend on subjective baseline assumptions for independence.
3/2/2026
DiffusionHarmonizer: Bridging Neural Reconstruction and Photorealistic Simulation with Online Diffusion Enhancer
DiffusionHarmonizer: bridges neural reconstruction and photorealistic simulation for autonomous robots using online diffusion enhancement.
3/2/2026
Artificial Agency Program: Curiosity, compression, and communication in agents
Artificial Agency Program: research agenda for building resource-bounded AI agents driven by curiosity-as-learning-progress and human-tool integration.
3/2/2026
RAViT: Resolution-Adaptive Vision Transformer
RAViT: multi-branch vision transformer framework reducing computational cost for image classification through resolution-adaptive processing.
3/2/2026
A multimodal slice discovery framework for systematic failure detection and explanation in medical image classification
Automated auditing framework for detecting systematic failures in medical image classifiers using multimodal features and slice discovery.
3/2/2026
Uncertainty Quantification for Multimodal Large Language Models with Incoherence-adjusted Semantic Volume
Proposes uncertainty quantification method for multimodal LLMs using incoherence-adjusted semantic volume for reliable deployment.
3/2/2026
SenCache: Accelerating Diffusion Model Inference via Sensitivity-Aware Caching
SenCache: training-free acceleration for diffusion model inference via sensitivity-aware caching of model outputs across timesteps.
3/2/2026
MuViT: Multi-Resolution Vision Transformers for Learning Across Scales in Microscopy
MuViT: multi-resolution vision transformers for analyzing gigapixel microscopy images across multiple spatial scales.
3/2/2026
BLISSNet: Deep Operator Learning for Fast and Accurate Flow Reconstruction from Sparse Sensor Measurements
BLISSNet: deep operator learning model for fast, accurate fluid flow reconstruction from sparse sensor measurements.
3/2/2026
Better Learning-Augmented Spanning Tree Algorithms via Metric Forest Completion
Presents learning-augmented algorithms for approximate minimum spanning tree via metric forest completion with improved approximation bounds.
3/2/2026
FaultXformer: A Transformer-Encoder Based Fault Classification and Location Identification model in PMU-Integrated Active Electrical Distribution System
FaultXformer: transformer encoder for fault classification and location in electrical distribution systems using PMU data.
3/2/2026
Compositional Generalization Requires Linear, Orthogonal Representations in Vision Embedding Models
Formalizes desiderata showing compositional generalization requires linear, orthogonal representations in vision embedding models.