Deep Learning Monitor - Find new Arxiv papers, tweets and Reddit posts for you

SII-OpenMOSS Team, :, Donghua Yu, Mingshu Chen, Qi Chen, Qi Luo, Qianyi Wu, Qinyuan Cheng, Ruixiao Li, Tianyi Liang, Wenbo Zhang, Wenming Tu, Xiangyu Peng, Yang Gao, Yanru Huo, Ying Zhu, Yinze Luo, Yiyang Zhang, Yuerong Song, Zhe Xu, Zhiyu Zhang, Chenchen Yang, Cheng Chang, Chushu Zhou, Hanfu Chen, Hongnan Ma, Jiaxi Li, Jingqi Tong, Junxi Liu, Ke Chen, Shimin Li, Shiqi Jiang, Songlin Wang, Wei Jiang, Zhaoye Fei, Zhiyuan Ning, Chunguo Li, Chenhui Li, Ziwei He, Zengfeng Huang, Xie Chen, Xipeng Qiu

2026-02-10

Robust Filter Attention: Self-Attention as a Parallel State Estimator

Peter Racioppo

2026-01-29

Intrinsic Reward Policy Optimization for Sparse-Reward Environments

Minjae Cho, Huy Trong Tran

2026-01-29

Continual GUI Agents

Ziwei Liu, Borui Kang, Hangjie Yuan, Zixiang Zhao, Wei Li, Yifan Zhu, Tao Feng

2026-01-29

Causal Graph Learning via Distributional Invariance of Cause-Effect Relationship

Nang Hung Nguyen, Phi Le Nguyen, Thao Nguyen Truong, Trong Nghia Hoang, Masashi Sugiyama

2026-02-03

NEAT: Neighborhood-Guided, Efficient, Autoregressive Set Transformer for 3D Molecular Generation

Daniel Rose, Roxane Axel Jacob, Johannes Kirchmair, Thierry Langer

2026-01-29

There Was Never a Bottleneck in Concept Bottleneck Models

Antonio Almudévar, José Miguel Hernández-Lobato, Alfonso Ortega

2026-01-29

ScoreMatchingRiesz: Score Matching for Debiased Machine Learning and Policy Path Estimation

Masahiro Kato

2026-01-29

How well do generative models solve inverse problems? A benchmark study

Patrick Krüger, Patrick Materne, Werner Krebs, Hanno Gottschalk

2026-01-30

A computational account of dreaming: learning and memory consolidation

Qi Zhang

2026-02-04

YuriiFormer: A Suite of Nesterov-Accelerated Transformers

Aleksandr Zimin, Yury Polyanskiy, Philippe Rigollet

2026-01-30

Self-Soupervision: Cooking Model Soups without Labels

Anthony Fuller, James R. Green, Evan Shelhamer

2026-02-02

DOME: Improving Signal-to-Noise in Stochastic Gradient Descent via Sharp-Direction Subspace Filtering

Julien Nicolas, Mohamed Maouche, Sonia Ben Mokhtar, Mark Coates

2026-02-02

Plug-and-Play Emotion Graphs for Compositional Prompting in Zero-Shot Speech Emotion Recognition

Jiacheng Shi, Hongfei Du, Y. Alicia Hong, Ye Gao

2026-02-03

Online Vector Quantized Attention

Nick Alonso, Tomas Figliolia, Beren Millidge

2026-02-03

SEIS: Subspace-based Equivariance and Invariance Scores for Neural Representations

Huahua Lin, Katayoun Farrahi, Xiaohao Cai

2026-02-03

Improved Bag-of-Words Image Retrieval with Geometric Constraints for Ground Texture Localization

Aaron Wilhelm, Nils Napp

2026-02-04

Improved Bag-of-Words Image Retrieval with Geometric Constraints for Ground Texture Localization

Aaron Wilhelm, Nils Napp

2026-02-05

SINQ: Sinkhorn-Normalized Quantization for Calibration-Free Low-Precision LLM Weights

Lorenz K. Müller, Philippe Bich, Jiawei Zhuang, Ahmet Çelik, Luca Benfenati, Lukas Cavigelli

2026-01-29

Zero-Shot Statistical Downscaling via Diffusion Posterior Sampling

Ruian Tie, Wenbo Xiong, Zhengyu Shi, Xinyu Su, Chenyu jiang, Libo Wu, Hao Li

2026-01-29

Influence Guided Sampling for Domain Adaptation of Text Retrievers

Meet Doshi, Vishwajeet Kumar, Yulong Li, Jaydeep Sen

2026-01-29

EWSJF: An Adaptive Scheduler with Hybrid Partitioning for Mixed-Workload LLM Inference

Bronislav Sidik, Chaya Levi, Joseph Kampeas

2026-01-29

Visible Light Positioning With Lamé Curve LEDs: A Generic Approach for Camera Pose Estimation

Wenxuan Pan, Yang Yang, Dong Wei, Zhiyu Zhu, Jintao Wang, Huan Wu, Yao Nie

2026-02-02

Fresh Papers

SurfPhase: 3D Interfacial Dynamics in Two-Phase Flows from Sparse Videos

Yue Gao, Hong-Xing Yu, Sanghyeon Chang, Qianxi Fu, Bo Zhu, Yoonjin Won, Juan Carlos Niebles, Jiajun Wu

2026-02-11

Diffusion-Pretrained Dense and Contextual Embeddings

Sedigheh Eslami, Maksim Gaiduk, Markus Krimmel, Louis Milliken, Bo Wang, Denis Bykov

2026-02-11

YOR: Your Own Mobile Manipulator for Generalizable Robotics

Manan H Anjaria, Mehmet Enes Erciyes, Vedant Ghatnekar, Neha Navarkar, Haritheja Etukuru, Xiaole Jiang, Kanad Patel, Dhawal Kabra, Nicholas Wojno, Radhika Ajay Prayage, Soumith Chintala, Lerrel Pinto, Nur Muhammad Mahi Shafiullah, Zichen Jeff Cui

2026-02-11

Data Repetition Beats Data Scaling in Long-CoT Supervised Fine-Tuning

Dawid J. Kopiczko, Sagar Vaze, Tijmen Blankevoort, Yuki M. Asano

2026-02-11

Beyond VLM-Based Rewards: Diffusion-Native Latent Reward Modeling

Gongye Liu, Bo Yang, Yida Zhi, Zhizhou Zhong, Lei Ke, Didan Deng, Han Gao, Yongxiang Huang, Kaihao Zhang, Hongbo Fu, Wenhan Luo

2026-02-11

SCRAPL: Scattering Transform with Random Paths for Machine Learning

Christopher Mitcheltree, Vincent Lostanlen, Emmanouil Benetos, Mathieu Lagrange

2026-02-11

GENIUS: Generative Fluid Intelligence Evaluation Suite

Ruichuan An, Sihan Yang, Ziyu Guo, Wei Dai, Zijun Shen, Haodong Li, Renrui Zhang, Xinyu Wei, Guopeng Li, Wenshan Wu, Wentao Zhang

2026-02-11

Data-Efficient Hierarchical Goal-Conditioned Reinforcement Learning via Normalizing Flows

Shaswat Garg, Matin Moezzi, Brandon Da Silva

2026-02-11

LCIP: Loss-Controlled Inverse Projection of High-Dimensional Image Data

Yu Wang, Frederik L. Dennig, Michael Behrisch, Alexandru Telea

2026-02-11

When does Metropolized Hamiltonian Monte Carlo provably outperform Metropolis-adjusted Langevin algorithm?

Yuansi Chen, Khashayar Gatmiry, Minhui Jiang

2026-02-11

AlignTune: Modular Toolkit for Post-Training Alignment of Large Language Models

R E Zera Marveen Lyngkhoi, Chirag Chawla, Pratinav Seth, Utsav Avaiya, Soham Bhattacharjee, Mykola Khandoga, Rui Yuan, Vinay Kumar Sankarapu

2026-02-11

TabICLv2: A better, faster, scalable, and open tabular foundation model

Jingang Qu, David Holzmüller, Gaël Varoquaux, Marine Le Morvan

2026-02-11

MOTGNN: Interpretable Graph Neural Networks for Multi-Omics Disease Classification

Tiantian Yang, Zhiqian Chen

2026-02-11

Weight Decay Improves Language Model Plasticity

Tessa Han, Sebastian Bordt, Hanlin Zhang, Sham Kakade

2026-02-11

Proficient Graph Neural Network Design by Accumulating Knowledge on Large Language Models

Jialiang Wang, Hanmo Liu, Shimin Di, Zhili Wang, Jiachuan Wang, Lei Chen, Xiaofang Zhou

2026-02-11

FormalJudge: A Neuro-Symbolic Paradigm for Agentic Oversight

Jiayi Zhou, Yang Sheng, Hantao Lou, Yaodong Yang, Jie Fu

2026-02-11

Equivariant symmetry-aware head pose estimation for fetal MRI

Ramya Muthukrishnan, Borjan Gagoski, Aryn Lee, P. Ellen Grant, Elfar Adalsteinsson, Polina Golland, Benjamin Billot

2026-02-11

Just on Time: Token-Level Early Stopping for Diffusion Language Models

Zahar Kohut, Severyn Shykula, Dmytro Khamula, Mykola Vysotskyi, Taras Rumezhak, Volodymyr Karpiv

2026-02-11

Expanding the Capabilities of Reinforcement Learning via Text Feedback

Yuda Song, Lili Chen, Fahim Tajwar, Remi Munos, Deepak Pathak, J. Andrew Bagnell, Aarti Singh, Andrea Zanette

2026-02-11

End to End Collaborative Synthetic Data Generation

Sikha Pentyala, Geetha Sitaraman, Trae Claar, Martine De Cock

2026-02-11

MIND: Benchmarking Memory Consistency and Action Control in World Models

Yixuan Ye, Xuanyu Lu, Yuxin Jiang, Yuchao Gu, Rui Zhao, Qiwei Liang, Jiachun Pan, Fengda Zhang, Weijia Wu, Alex Jinpeng Wang

2026-02-11

From Circuits to Dynamics: Understanding and Stabilizing Failure in 3D Diffusion Transformers

Maximilian Plattner, Fabian Paischer, Johannes Brandstetter, Arturs Berzins

2026-02-11

Asymmetric Prompt Weighting for Reinforcement Learning with Verifiable Rewards

Reinhard Heckel, Mahdi Soltanolkotabi, Christos Thramboulidis

2026-02-11

The Offline-Frontier Shift: Diagnosing Distributional Limits in Generative Multi-Objective Optimization

Stephanie Holly, Alexandru-Ciprian Zăvoianu, Siegfried Silber, Sepp Hochreiter, Werner Zellinger

2026-02-11

PhyCritic: Multimodal Critic Models for Physical AI

Tianyi Xiong, Shihao Wang, Guilin Liu, Yi Dong, Ming Li, Heng Huang, Jan Kautz, Zhiding Yu

2026-02-11

From Natural Language to Materials Discovery:The Materials Knowledge Navigation Agent

Genmao Zhuang, Amir Barati Farimani

2026-02-11

A New Dataset and Performance Benchmark for Real-time Spacecraft Segmentation in Onboard Computers

Jeffrey Joan Sam, Janhavi Sathe, Nikhil Chigali, Naman Gupta, Radhey Ruparel, Yicheng Jiang, Janmajay Singh, James W. Berck, Arko Barman

2026-02-11

Implicit Hypothesis Testing and Divergence Preservation in Neural Network Representations

Kadircan Aksoy, Protim Bhattacharjee, Peter Jung

2026-02-11

A Doubly Robust Machine Learning Approach for Disentangling Treatment Effect Heterogeneity with Functional Outcomes

Filippo Salmaso, Lorenzo Testa, Francesca Chiaromonte

2026-02-11

HairWeaver: Few-Shot Photorealistic Hair Motion Synthesis with Sim-to-Real Guided Video Diffusion

Di Chang, Ji Hou, Aljaz Bozic, Assaf Neuberger, Felix Juefei-Xu, Olivier Maury, Gene Wei-Chin Lin, Tuur Stuyck, Doug Roble, Mohammad Soleymani, Stephane Grabli

2026-02-11

reinforcement learning

Intrinsic Reward Policy Optimization for Sparse-Reward Environments

Minjae Cho, Huy Trong Tran

2026-01-29

Continual GUI Agents

Ziwei Liu, Borui Kang, Hangjie Yuan, Zixiang Zhao, Wei Li, Yifan Zhu, Tao Feng

2026-01-29

Influence Guided Sampling for Domain Adaptation of Text Retrievers

Meet Doshi, Vishwajeet Kumar, Yulong Li, Jaydeep Sen

2026-01-29

Language-based Trial and Error Falls Behind in the Era of Experience

Haoyu Wang, Guozheng Ma, Shugang Cui, Yilun Kong, Haotian Luo, Li Shen, Mengya Gao, Yichao Wu, Xiaogang Wang, Dacheng Tao

2026-01-29

Epistemic Context Learning: Building Trust the Right Way in LLM-Based Multi-Agent Systems

Ruiwen Zhou, Maojia Song, Xiaobao Wu, Sitao Cheng, Xunjian Yin, Yuxi Xie, Zhuoqun Hao, Wenyue Hua, Liangming Pan, Soujanya Poria, Min-Yen Kan

2026-01-29

ASAP: Exploiting the Satisficing Generalization Edge in Neural Combinatorial Optimization

Han Fang, Paul Weng, Yutong Ban

2026-01-29

Mixed-Precision Training and Compilation for RRAM-based Computing-in-Memory Accelerators

Rebecca Pelke, Joel Klein, Jose Cubero-Cascante, Nils Bosbach, Jan Moritz Joseph, Rainer Leupers

2026-01-29

Memento 2: Learning by Stateful Reflective Memory

Jun Wang

2026-01-29

Disentangling perception and reasoning for improving data efficiency in learning cloth manipulation without demonstrations

Donatien Delehelle, Fei Chen, Darwin Caldwell

2026-01-29

TACLer: Tailored Curriculum Reinforcement Learning for Efficient Reasoning

Huiyuan Lai, Malvina Nissim

2026-01-29

Autoregressive Language Models are Secretly Energy-Based Models: Insights into the Lookahead Capabilities of Next-Token Prediction

Mathieu Blondel, Michael E. Sander, Germain Vivier-Ardisson, Tianlin Liu, Vincent Roulet

2026-01-29

Can David Beat Goliath? On Multi-Hop Reasoning with Resource-Constrained Agents

Hojae Han, Heeyun Jung, Jongyoon Kim, Seung-won Hwang

2026-01-29

Outcome-Based RL Provably Leads Transformers to Reason, but Only With the Right Data

Yuval Ran-Milo, Yotam Alexander, Shahar Mendel, Nadav Cohen

2026-01-29

Black-Box Combinatorial Optimization with Order-Invariant Reinforcement Learning

Olivier Goudet, Quentin Suire, Adrien Goëffon, Frédéric Saubion, Sylvain Lamprier

2026-01-29

Scaling Offline Model-Based RL via Jointly-Optimized World-Action Model Pretraining

Jie Cheng, Ruixi Qiao, Yingwei Ma, Binhua Li, Gang Xiong, Qinghai Miao, Yongbin Li, Yisheng Lv

2026-01-29

Two Heads are Better than One: Distilling Large Language Model Features Into Small Models with Feature Decomposition and Mixture

Tianhao Fu, Xinxin Xu, Weichen Xu, Jue Chen, Ruilong Ren, Bowen Deng, Xinyu Zhao, Jian Cao, Xixin Cao

2026-01-29

Expected Return Causes Outcome-Level Mode Collapse in Reinforcement Learning and How to Fix It with Inverse Probability Scaling

Abhijeet Sinha, Sundari Elango, Dianbo Liu

2026-01-29

CleanSurvival: Automated data preprocessing for time-to-event models using reinforcement learning

Yousef Koka, David Selby, Gerrit Großmann, Sebastian Vollmer, Kathan Pandya

2026-01-29

Towards Transparent RAG: Fostering Evidence Traceability in LLM Generation via Reinforcement Learning

Jingyi Ren, Yekun Xu, Xiaolong Wang, Weitao Li, Ante Wang, Weizhi Ma, Yang Liu

2026-01-29

DeFacto: Counterfactual Thinking with Images for Enforcing Evidence-Grounded and Faithful Reasoning

Tianrun Xu, Haoda Jing, Ye Li, Yuquan Wei, Jun Feng, Guanyu Chen, Haichuan Gao, Tianren Zhang, Feng Chen

2026-01-29

CTRLS: Chain-of-Thought Reasoning via Latent State-Transition

Junda Wu, Yuxin Xiong, Xintong Li, Sheldon Yu, Zhengmian Hu, Tong Yu, Rui Wang, Xiang Chen, Jingbo Shang, Julian McAuley

2026-01-29

Reinforcement Learning for Adaptive Composition of Quantum Circuit Optimisation Passes

Daniel Mills, Ifan Williams, Jacob Swain, Gabriel Matos, Enrico Rinaldi, Alexander Koziell-Pipe

2026-01-29

PathReasoner-R1: Instilling Structured Reasoning into Pathology Vision-Language Model via Knowledge-Guided Policy Optimization

Songhan Jiang, Fengchun Liu, Ziyue Wang, Linghan Cai, Yongbing Zhang

2026-01-29

RecNet: Self-Evolving Preference Propagation for Agentic Recommender Systems

Bingqian Li, Xiaolei Wang, Junyi Li, Weitao Li, Long Zhang, Sheng Chen, Wayne Xin Zhao, Ji-Rong Wen

2026-01-29

SofT-GRPO: Surpassing Discrete-Token LLM Reinforcement Learning via Gumbel-Reparameterized Soft-Thinking Policy Optimization

Zhi Zheng, Yu Gu, Wei Liu, Yee Whye Teh, Wee Sun Lee

2026-01-29

Beyond Imitation: Reinforcement Learning for Active Latent Planning

Zhi Zheng, Wee Sun Lee

2026-01-29

Scalable Power Sampling: Unlocking Efficient, Training-Free Reasoning for LLMs via Distribution Sharpening

Xiaotong Ji, Rasul Tutunov, Matthieu Zimmer, Haitham Bou Ammar

2026-01-29

ViSurf: Visual Supervised-and-Reinforcement Fine-Tuning for Large Vision-and-Language Models

Yuqi Liu, Liangyu Chen, Jiazhen Liu, Mingkang Zhu, Zhisheng Zhong, Bei Yu, Jiaya Jia

2026-01-29

CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning

Cédric Colas, Pierre Fournier, Olivier Sigaud, Mohamed Chetouani, Pierre-Yves Oudeyer

2026-01-29

Autodiscover: A reinforcement learning recommendation system for the cold-start imbalance challenge in active learning, powered by graph-aware thompson sampling

Parsa Vares

2026-02-04

language

AlgoVeri: An Aligned Benchmark for Verified Code Generation on Classical Algorithms

Haoyu Zhao, Ziran Yang, Jiawei Li, Deyuan He, Zenan Li, Chi Jin, Venugopal V. Veeravalli, Aarti Gupta, Sanjeev Arora

2026-02-10

SINQ: Sinkhorn-Normalized Quantization for Calibration-Free Low-Precision LLM Weights

Lorenz K. Müller, Philippe Bich, Jiawei Zhuang, Ahmet Çelik, Luca Benfenati, Lukas Cavigelli

2026-01-29

Memento 2: Learning by Stateful Reflective Memory

Jun Wang

2026-01-29

Agent-OM: Leveraging LLM Agents for Ontology Matching

Zhangcheng Qiang, Weiqing Wang, Kerry Taylor

2026-01-29

Rotary Position Encodings for Graphs

Isaac Reid, Arijit Sehanobish, Cederik Höfs, Bruno Mlodozeniec, Leonhard Vulpius, Federico Barbero, Adrian Weller, Krzysztof Choromanski, Richard E. Turner, Petar Veličković

2026-01-29

Language-based Trial and Error Falls Behind in the Era of Experience

Haoyu Wang, Guozheng Ma, Shugang Cui, Yilun Kong, Haotian Luo, Li Shen, Mengya Gao, Yichao Wu, Xiaogang Wang, Dacheng Tao

2026-01-29

Dynamic Topology Awareness: Breaking the Granularity Rigidity in Vision-Language Navigation

Jiankun Peng, Jianyuan Guo, Ying Xu, Yue Liu, Jiashuang Yan, Xuanwei Ye, Houhua Li, Xiaoming Wang

2026-01-29

FISMO: Fisher-Structured Momentum-Orthogonalized Optimizer

Chenrui Xu, Wenjing Yan, Ying-Jun Angela Zhang

2026-01-29

Temporal Guidance for Large Language Models

Hong-Kai Zheng, Piji Li