Isolater - Feed

Ax Amine M. Aboussalah, Xuanze Li, Cheng Chi, Raj Patel 3/13/2026

Finance-Informed Neural Network: Learning the Geometry of Option Pricing

Finance-informed neural network for option pricing and hedging using self-supervised replication objective based on dynamic hedging theory.

Ax Cheng He, Xu Huang, Gangwei Jiang, Zhaoyi Li, Defu Lian, Hong Xie, Enhong Chen, Xijie Liang, Zengrong Zheng, Patrick P. C. Lee 3/13/2026

GTM: A General Time-series Model for Enhanced Representation Learning of Time-Series Data

General Time-series Model with frequency-domain attention for enhanced representation learning on diverse time-series downstream tasks.

Ax Yiming Huang, Tolga Birdal 3/13/2026

HOG-Diff: Higher-Order Guided Diffusion for Graph Generation

Higher-order guided diffusion model for graph generation that captures non-Euclidean topology using higher-order graph structures.

Ax Olga Zaghen, Floor Eijkelboom, Alison Pouplin, Cong Liu, Max Welling, Jan-Willem van de Meent, Erik J. Bekkers 3/13/2026

Riemannian Variational Flow Matching for Material and Protein Design

Riemannian Gaussian Variational Flow Matching for generative modeling on manifolds applied to material and protein design.

Ax Ziqiao Weng, Weidong Cai, Bo Zhou 3/13/2026

FedSKD: Aggregation-free Model-heterogeneous Federated Learning via Multi-dimensional Similarity Knowledge Distillation for Medical Image Classification

Aggregation-free federated learning method for medical image classification using multi-dimensional similarity knowledge distillation across heterogeneous client models.

Ax Jun Liu, Zhenglun Kong, Peiyan Dong, Changdi Yang, Tianqi Li, Hao Tang, Geng Yuan, Wei Niu, Wenbin Zhang, Pu Zhao, Xue Lin, Dong Huang, Yanzhi Wang 3/13/2026

Structured Agent Distillation for Large Language Model

Framework for compressing large LLM-based ReAct agents into smaller student models while preserving reasoning and action consistency.

Ax Matthieu Blanke, Yongquan Qu, Sara Shamekh, Pierre Gentine 3/13/2026

Strictly Constrained Generative Modeling via Split Augmented Langevin Sampling

Framework for generative modeling with enforced physical constraints using split augmented Langevin sampling for scientific applications.

Ax Mengjie Zhao, Olga Fink 3/13/2026

Disentangling Slow and Fast Temporal Dynamics in Degradation Inference with Hierarchical Differential Models

Hierarchical differential model for inferring system degradation from sensor data by disentangling slow and fast temporal dynamics.

Ax Jiajun Bao, Nicolas Boull\'e, Toni J. B. Liu, Rapha\"el Sarfati, Christopher J. Earls 3/13/2026

Text-Trained LLMs Can Zero-Shot Extrapolate PDE Dynamics, Revealing a Three-Stage In-Context Learning Mechanism

Text-trained LLMs perform zero-shot extrapolation of PDE dynamics, revealing three-stage in-context learning mechanism for spatiotemporal forecasting.

Ax Cl\'ement Bonet, Elsa Cazelles, Lucas Drumetz, Nicolas Courty 3/13/2026

Busemann Functions in the Wasserstein Space: Existence, Closed-Forms, and Applications to Slicing

Mathematical study of Busemann functions in Wasserstein space with applications to geometric machine learning and data slicing.

Ax Ozgur Guldogan, Neeraj Sarna, Yuanyuan Li, Michael Berger 3/13/2026

Counterfactually Fair Conformal Prediction

Development of conformal prediction method that ensures counterfactual fairness in prediction sets for fair decision-making under uncertainty.

Ax Wanhao Yu, Zheng Wang, Shuteng Niu, Sen Lin, Li Yang 3/13/2026

More Than Memory Savings: Zeroth-Order Optimization Mitigates Forgetting in Continual Learning

Zeroth-order optimization approach for continual learning that improves memory efficiency and addresses plasticity-stability tradeoffs without gradient computation.

Ax Eric Bigelow, Daniel Wurgaft, YingQiao Wang, Noah Goodman, Tomer Ullman, Hidenori Tanaka, Ekdeep Singh Lubana 3/13/2026

Belief Dynamics Reveal the Dual Nature of In-Context Learning and Activation Steering

Research on unifying in-context learning and activation steering as instances of a broader framework using belief dynamics to control LLM behavior at inference time.

Ax Hong Yang, Devroop Kar, Qi Yu, Alex Ororbia, Travis Desell 3/13/2026

Domain Feature Collapse: Implications for Out-of-Distribution Detection and Solutions

Provides theoretical explanation for OOD detection failure on single-domain data through domain feature collapse phenomenon.

Ax Shuozhe Li, Du Cheng, Leqi Liu 3/13/2026

A Learnable Wavelet Transformer for Long-Short Equity Trading and Risk-Adjusted Return Optimization

Proposes WaveLSFormer, wavelet-based Transformer for intraday trading policy learning with multi-scale decomposition.

Ax Xiuying Wei, Caglar Gulcehre 3/13/2026

RAT+: Train Dense, Infer Sparse -- Recurrence Augmented Attention for Dilated Inference

Introduces RAT+, structured dilated attention architecture that enables sparse inference while maintaining long-range connectivity and accuracy.

Ax Ghaith Mqawass (TUM School of Life Sciences Weihenstephan, Technical University of Munich, Germany, Machine Learning and Computational Sciences, Pfizer Research & Development, Berlin, Germany), Tuan Le (Machine Learning and Computational Sciences, Pfizer Research & Development, Berlin, Germany), Fabian Theis (TUM School of Life Sciences Weihenstephan, Technical University of Munich, Germany, TUM School of Computation, Information and Technology, Technical University of Munich, Germany, Institute of Computational Biology, Helmholtz Center Munich, Germany), Djork-Arn\'e Clevert (Machine Learning and Computational Sciences, Pfizer Research & Development, Berlin, Germany) 3/13/2026

De novo molecular structure elucidation from mass spectra via flow matching

Develops MSFlow, a flow matching approach for de novo molecular structure elucidation from mass spectrometry data.

Ax Zhuoxu Huang, Mengxi Jia, Hao Sun, Xuelong Li, Jungong Han 3/13/2026

Controllable Exploration in Hybrid-Policy RLVR for Multi-Modal Reasoning

Proposes controllable exploration strategy for RLVR training of multi-modal LLMs to address entropy collapse and policy degradation.

Ax Zhao Yang, Yi Duan, Jiwei Zhu, Ying Ba, Chuan Cao, Bing Su 3/13/2026

Extending Sequence Length is Not All You Need: Effective Integration of Multimodal Signals for Gene Expression Prediction

Investigates gene expression prediction from DNA sequences, showing long sequence modeling can degrade performance despite prior focus on extending sequence length.

Ax Jose Javier Gonzalez Ortiz, Abhay Gupta, Christopher Rinard, Davis Blalock 3/13/2026

FlashOptim: Optimizers for Memory-Efficient Training

Introduces FlashOptim, memory-efficient optimizers for mixed-precision neural network training reducing per-parameter memory requirements.

Ax Isotta Magistrali, Fr\'ed\'eric Berdoz, Sam Dauncey, Roger Wattenhofer 3/13/2026

Subliminal Signals in Preference Labels

Shows preference labels in LLM-as-judge training can function as covert communication channels, challenging assumptions about semantic supervision.

Ax Shuhei Sugiura, Ichiro Takeuchi, Shion Takeno 3/13/2026

Randomized Kriging Believer for Parallel Bayesian Optimization with Regret Bounds

Studies parallel Bayesian optimization for expensive black-box function evaluation with theoretical regret bounds.

Ax Hadi Sotoudeh, Payel Mukhopadhyay, Ruben Ohana, Michael McCabe, Neil D. Lawrence, Shirley Ho, Miles Cranmer 3/13/2026

On the Value of Tokeniser Pretraining in Physics Foundation Models

Investigates tokenizer pretraining impact on physics foundation models for emulating complex multiphysics phenomena in data-limited settings.

Ax Joohyung Lee, Kwanhyung Lee, Changhun Kim, Eunho Yang 3/13/2026

Structure-Aware Set Transformers: Temporal and Variable-Type Attention Biases for Asynchronous Clinical Time Series

Structure-aware set transformers with temporal and variable-type attention for asynchronous clinical time series in EHR data.

Ax Jiwoo Yoon, Kyumin Choi, Jaewoong Choi 3/13/2026

Conditional Unbalanced Optimal Transport Maps: An Outlier-Robust Framework for Conditional Generative Modeling

Conditional optimal transport maps using unbalanced framework for outlier-robust conditional generative modeling.

Ax Tatjana Krau, Jorge Mandlmaier, Tobias Damm, Frieder Heieck 3/13/2026

Impact of Markov Decision Process Design on Sim-to-Real Reinforcement Learning

Analyzes how MDP design choices (state composition, rewards, dynamics) affect sim-to-real transfer in reinforcement learning for industrial control.

Ax Maxwell Miller-Golub, Collin Coil, Kamil Faber, Marcin Pietron, Panpan Zheng, Pasquale Minervini, Roberto Corizzo 3/13/2026

Rethinking the Harmonic Loss via Non-Euclidean Distance Layers

Studies harmonic loss with non-Euclidean distance layers as alternative to cross-entropy for neural network training.

Ax Kyungryeol Lee, Kyeonghyun Lee, Seongmin Hong, Byung Hyun Lee, Se Young Chun 3/13/2026

Unlearning the Unpromptable: Prompt-free Instance Unlearning in Diffusion Models

Instance unlearning method for diffusion models removing specific outputs without text prompts, addressing unpromptable undesired generations.

Ax Anna Chistyakova, Mikhail Pautov 3/13/2026

Contract And Conquer: How to Provably Compute Adversarial Examples for a Black-Box Model?

Contract And Conquer algorithm for provably computing adversarial examples against black-box deep neural networks.

Ax Zegu Zhang, Jian Zhang 3/13/2026

Historical Consensus: Preventing Posterior Collapse via Iterative Selection of Gaussian Mixture Priors

Proposes iterative selection of Gaussian mixture priors to prevent posterior collapse in variational autoencoders.

Ax Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel 3/13/2026

Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation

Theoretical bounds on bias introduced by low-dimensional representation learning in conditional average treatment effect estimation.

Ax Benjamin A. T. Grahama, Lauren Brown, Georgios Chochlakis, Morteza Dehghani, Raquel Delerme, Brittany Friedman, Ellie Graeden, Preni Golazizian, Rajat Hebbar, Parsa Hejabi, Aditya Kommineni, Mayag\"uez Salinas, Michael Sierra-Ar\'evalo, Jackson Trager, Nicholas Weller, Shrikanth Narayanan 3/13/2026