Most Cited 2024 "weight vector identification" Papers

Parameterized Quasi-Physical Simulators for Dexterous Manipulations Transfer

Xueyi Liu, Kangbo Lyu, jieqiong zhang et al.

AdaDiff: Accelerating Diffusion Models through Step-Wise Adaptive Computation

Shengkun Tang, Yaqing Wang, Caiwen Ding et al.

Perceptual Evaluation of Audio-Visual Synchrony Grounded in Viewers’ Opinion Scores

Lucas Goncalves, Prashant Mathur, Chandrashekhar Lavania et al.

On the Vulnerability of Skip Connections to Model Inversion Attacks

Jun Hao Koh, Sy-Tuyen Ho, Ngoc-Bao Nguyen et al.

LG-Gaze: Learning Geometry-aware Continuous Prompts for Language-Guided Gaze Estimation

Pengwei Yin, Jingjing Wang, Guanzhong Zeng et al.

Enhancing Cross-Subject fMRI-to-Video Decoding with Global-Local Functional Alignment

Chong Li, Xuelin Qian, Yun Wang et al.

T-CorresNet: Template Guided 3D Point Cloud Completion with Correspondence Pooling Query Generation Strategy

Fan Duan, Jiahao Yu, Li Chen

Exploring Vulnerabilities in Spiking Neural Networks: Direct Adversarial Attacks on Raw Event Data

Yanmeng Yao, Xiaohan Zhao, Bin Gu

PiTe: Pixel-Temporal Alignment for Large Video-Language Model

Yang Liu, Pengxiang Ding, Siteng Huang et al.

Self-Supervised Representation Learning for Adversarial Attack Detection

Yi Li, Plamen Angelov, Neeraj Suri

3D Weakly Supervised Semantic Segmentation with 2D Vision-Language Guidance

Xiaoxu Xu, Yitian Yuan, Jinlong Li et al.

Flying with Photons: Rendering Novel Views of Propagating Light

Anagh Malik, Noah Juravsky, Ryan Po et al.

Animate Your Motion: Turning Still Images into Dynamic Videos

Mingxiao Li, Bo Wan, Marie-Francine Moens et al.

Rethinking Video Deblurring with Wavelet-Aware Dynamic Transformer and Diffusion Model

chen rao, Guangyuan Li, Zehua Lan et al.

Localization and Expansion: A Decoupled Framework for Point Cloud Few-shot Semantic Segmentation

Zhaoyang Li, Yuan Wang, Wangkai Li et al.

Learning Semantic Latent Directions for Accurate and Controllable Human Motion Prediction

Guowei Xu, Jiale Tao, Wen Li et al.

AdaDiffSR: Adaptive Region-aware Dynamic acceleration Diffusion Model for Real-World Image Super-Resolution

Yuanting Fan, Chengxu Liu, Nengzhong Yin et al.

Bi-TTA: Bidirectional Test-Time Adapter for Remote Physiological Measurement

Haodong LI, Hao LU, Yingcong Chen

PCF-Lift: Panoptic Lifting by Probabilistic Contrastive Fusion

Runsong Zhu, Shi Qiu, Qianyi Wu et al.

MinD-3D: Reconstruct High-quality 3D objects in Human Brain

Jianxiong Gao, Yuqian Fu, Yun Wang et al.

TriNeRFLet: A Wavelet Based Triplane NeRF Representation

Rajaei Khatib, RAJA GIRYES

Towards Reliable Advertising Image Generation Using Human Feedback

Zhenbang Du, Wei Feng, Haohan Wang et al.

EraseDraw : Learning to Insert Objects by Erasing Them from Images

Alper Canberk, Maksym Bondarenko, Ege Ozguroglu et al.

Learning Neural Volumetric Pose Features for Camera Localization

Jingyu Lin, Jiaqi Gu, Bojian Wu et al.

GeometrySticker: Enabling Ownership Claim of Recolorized Neural Radiance Fields

Xiufeng HUANG, Ka Chun Cheung, Simon See et al.

Adaptive High-Frequency Transformer for Diverse Wildlife Re-Identification

Chenyue Li, Shuoyi Chen, Mang Ye

Cs2K: Class-specific and Class-shared Knowledge Guidance for Incremental Semantic Segmentation

Wei Cong, Yang Cong, Yuyang Liu et al.

O2V-Mapping: Online Open-Vocabulary Mapping with Neural Implicit Representation

Muer Tie, Julong Wei, Zhengjun Wang et al.

Un-EVIMO: Unsupervised Event-based Independent Motion Segmentation

Ziyun Wang, Jinyuan Guo, Kostas Daniilidis

Training A Small Emotional Vision Language Model for Visual Art Comprehension

Jing Zhang, Liang Zheng, Meng Wang et al.

Statewide Visual Geolocalization in the Wild

Florian Fervers, Sebastian Bullinger, Christoph Bodensteiner et al.

Make a Strong Teacher with Label Assistance: A Novel Knowledge Distillation Approach for Semantic Segmentation

Shoumeng Qiu, Jie Chen, Xinrun Li et al.

Robust 3D Tracking with Quality-Aware Shape Completion

Jingwen Zhang, Zikun Zhou, Guangming Lu et al.

In-Hand 3D Object Reconstruction from a Monocular RGB Video

Shijian Jiang, Qi Ye, Rengan Xie et al.

CrossBind: Collaborative Cross-Modal Identification of Protein Nucleic-Acid-Binding Residues

Authors: Linglin Jing, Sheng Xu, Yifan Wang et al.

Exploring Self- and Cross-Triplet Correlations for Human-Object Interaction Detection

Weibo Jiang, Weihong Ren, Jiandong Tian et al.

Noise-Free Optimization in Early Training Steps for Image Super-resolution

MinKyu Lee, Jae-Pil Heo

Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior

Youngjae Cho, HeeSun Bae, Seungjae Shin et al.

Online Restless Multi-Armed Bandits with Long-Term Fairness Constraints

Shufan Wang, Guojun Xiong, Jian Li

GLDL: Graph Label Distribution Learning

Yufei Jin, Richard Gao, Yi He et al.

Comprehensive View Embedding Learning for Single-Cell Multimodal Integration

Zhenchao Tang, Jiehui Huang, Guanxing Chen et al.

A Multimodal, Multi-Task Adapting Framework for Video Action Recognition

Mengmeng Wang, Jiazheng Xing, Boyuan Jiang et al.

ZOOM: Learning Video Mirror Detection with Extremely-Weak Supervision

Ke Xu, Tsun Wai Siu, Rynson W.H. Lau

Point Deformable Network with Enhanced Normal Embedding for Point Cloud Analysis

Xingyilang Yin, Xi Yang, Liangchen Liu et al.

Improving Expressive Power of Spectral Graph Neural Networks with Eigenvalue Correction

Kangkang Lu, Yanhua Yu, Hao Fei et al.

Link Prediction in Multilayer Networks via Cross-Network Embedding

Guojing Ren, Xiao Ding, Xiao-Ke Xu et al.

HEAP: Unsupervised Object Discovery and Localization with Contrastive Grouping

Context Enhanced Transformer for Single Image Object Detection in Video Data

Seungjun An, Seonghoon Park, Gyeongnyeon Kim et al.

TACIT: A Target-Agnostic Feature Disentanglement Framework for Cross-Domain Text Classification

Rui Song, Fausto Giunchiglia, Yingji Li et al.

Voxel or Pillar: Exploring Efficient Point Cloud Representation for 3D Object Detection

Yuhao Huang, Sanping Zhou, Junjie Zhang et al.

MetaMix: Meta-State Precision Searcher for Mixed-Precision Activation Quantization

Han-Byul Kim, Joo Hyung Lee, Sungjoo Yoo et al.

Improving PTM Site Prediction by Coupling of Multi-Granularity Structure and Multi-Scale Sequence Representation

Zhengyi Li, Menglu Li, Lida Zhu et al.

An Optimal Transport View for Subspace Clustering and Spectral Clustering

Yuguang Yan, Zhihao Xu, Canlin Yang et al.

DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization

Wenze Chen, Shiyu Huang, Yuan Chiang et al.

Data Disparity and Temporal Unavailability Aware Asynchronous Federated Learning for Predictive Maintenance on Transportation Fleets

Leonie von Wahl, Niklas Heidenreich, Prasenjit Mitra et al.

PointPatchMix: Point Cloud Mixing with Patch Scoring

Yi Wang, Jiaze Wang, Jinpeng Li et al.

A Goal Interaction Graph Planning Framework for Conversational Recommendation

Xiaotong Zhang, Xuefang Jia, Han Liu et al.

An Implicit Trust Region Approach to Behavior Regularized Offline Reinforcement Learning

Zhe Zhang, Xiaoyang Tan

Intrinsic Phase-Preserving Networks for Depth Super Resolution

Xuanhong Chen, Hang Wang, Jinfan Liu et al.

Learning Subject-Aware Cropping by Outpainting Professional Photos

James Hong, Lu Yuan, Michaël Gharbi et al.

MusER: Musical Element-Based Regularization for Generating Symbolic Music with Emotion

Shulei Ji, Xinyu Yang

Evidential Uncertainty-Guided Mitochondria Segmentation for 3D EM Images

Ruohua Shi, Lingyu Duan, Tiejun Huang et al.

Knowledge Guided Semi-supervised Learning for Quality Assessment of User Generated Videos

Shankhanil Mitra, Rajiv Soundararajan

Machine-Created Universal Language for Cross-Lingual Transfer

Yaobo Liang, Quanzhi Zhu, Junhe Zhao et al.

Live and Learn: Continual Action Clustering with Incremental Views

Xiaoqiang Yan, Yingtao Gan, Yiqiao Mao et al.

High-Fidelity Diffusion-Based Image Editing

Chen Hou, Guoqiang Wei, Zhibo Chen

Unified Framework for Diffusion Generative Models in SO(3): Applications in Computer Vision and Astrophysics

Yesukhei Jagvaral, Francois Lanusse, Rachel Mandelbaum

Embracing Language Inclusivity and Diversity in CLIP through Continual Language Learning

Bang Yang, Yong Dai, Xuxin Cheng et al.

Expressive Forecasting of 3D Whole-Body Human Motions

Pengxiang Ding, Qiongjie Cui, Haofan Wang et al.

Learning to Learn in Interactive Constraint Acquisition

Dimosthenis Tsouros, Senne Berden, Tias Guns

DIUSum: Dynamic Image Utilization for Multimodal Summarization

Min Xiao, Junnan Zhu, Feifei Zhai et al.

Depth-Guided Robust and Fast Point Cloud Fusion NeRF for Sparse Input Views

Shuai Guo, Qiuwen Wang, Yijie Gao et al.

A Reinforcement-Learning-Based Multiple-Column Selection Strategy for Column Generation

Gaoge Han, Shaoli Huang, Mingming Gong et al.

A Primal-Dual Algorithm for Hybrid Federated Learning

Tom Overman, Garrett Blum, Diego Klabjan

Learning Robust Rationales for Model Explainability: A Guidance-Based Approach

Shuaibo Hu, Kui Yu

A Unified Masked Autoencoder with Patchified Skeletons for Motion Synthesis

Esteve Valls Mascaro, Hyemin Ahn, Dongheui Lee

Unsupervised Group Re-identification via Adaptive Clustering-Driven Progressive Learning

Hongxu Chen, Quan Zhang, Jian-Huang Lai et al.

Factorized Diffusion Autoencoder for Unsupervised Disentangled Representation Learning

Ancong Wu, Wei-shi Zheng

Roll with the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-Grained Learning

Yue Duan, Zhen Zhao, Lei Qi et al.

Improve Robustness of Reinforcement Learning against Observation Perturbations via l∞ Lipschitz Policy Networks

Buqing Nie, Jingtian Ji, Yangqing Fu et al.

Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential Recommendations

Lei Li, Jianxun Lian, Xiao Zhou et al.

Data-Free Hard-Label Robustness Stealing Attack

Xiaojian Yuan, Kejiang Chen, Wen Huang et al.

Axiomatic Aggregations of Abductive Explanations

Gagan Biradar, Yacine Izza, Elita Lobo et al.

Efficient Axiomatization of OWL 2 EL Ontologies from Data by Means of Formal Concept Analysis

Francesco Kriegel

Graph Context Transformation Learning for Progressive Correspondence Pruning

Junwen Guo, Guobao Xiao, Shiping Wang et al.

IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers

Jingge Xiao, Leonie Basso, Wolfgang Nejdl et al.

Learning Visual Abstract Reasoning through Dual-Stream Networks

Kai Zhao, Chang Xu, Bailu Si

Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users

Hantao Yang, Xutong Liu, Zhiyong Wang et al.

Improved Metric Distortion via Threshold Approvals

Elliot Anshelevich, Aris Filos-Ratsikas, Christopher Jerrett et al.

Residual Hyperbolic Graph Convolution Networks

Yangkai Xue, Jindou Dai, Zhipeng Lu et al.

DeepCalliFont: Few-Shot Chinese Calligraphy Font Synthesis by Integrating Dual-Modality Generative Models

Yitian Liu, Zhouhui Lian

PPEA-Depth: Progressive Parameter-Efficient Adaptation for Self-Supervised Monocular Depth Estimation

Yue-Jiang Dong, Yuan-Chen Guo, Ying-Tian Liu et al.

SimPSI: A Simple Strategy to Preserve Spectral Information in Time Series Data Augmentation

Hyun Ryu, Sunjae Yoon, Hee Suk Yoon et al.

EPSD: Early Pruning with Self-Distillation for Efficient Model Compression

Dong Chen, Ning Liu, Yichen Zhu et al.

Improved Anonymous Multi Agent Path Finding Algorithm

Zain Alabedeen Ali, Konstantin Yakovlev

One Self-Configurable Model to Solve Many Abstract Visual Reasoning Problems

Mikołaj Małkiński, Jacek Mańdziuk

Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning

Zizhao Wang, Caroline Wang, Xuesu Xiao et al.

DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations

Guojun Xiong, Gang Yan, Shiqiang Wang et al.

REGLO: Provable Neural Network Repair for Global Robustness Properties

Feisi Fu, Zhilu Wang, Weichao Zhou et al.

Robust Communicative Multi-Agent Reinforcement Learning with Active Defense

Lebin Yu, Yunbo Qiu, Quanming Yao et al.

Pareto Front-Diverse Batch Multi-Objective Bayesian Optimization

Alaleh Ahmadianshalchi, Syrine Belakaria, Janardhan Rao Doppa

One at a Time: Progressive Multi-Step Volumetric Probability Learning for Reliable 3D Scene Perception

Bohan Li, Yasheng Sun, Jingxin Dong et al.

VIXEN: Visual Text Comparison Network for Image Difference Captioning

Alexander Black, Jing Shi, Yifei Fan et al.

Hierarchical Topology Isomorphism Expertise Embedded Graph Contrastive Learning

Jiangmeng Li, Yifan Jin, Hang Gao et al.

Motion Diversification Networks

Hee Jae Kim, Eshed Ohn-Bar

RELI11D: A Comprehensive Multimodal Human Motion Dataset and Method

Ming Yan, Yan Zhang, Shuqiang Cai et al.

Clustering for Protein Representation Learning

Ruijie Quan, Wenguan Wang, Fan Ma et al.

QN-Mixer: A Quasi-Newton MLP-Mixer Model for Sparse-View CT Reconstruction

Ishak Ayad, Nicolas Larue, Mai K. Nguyen

C3Net: Compound Conditioned ControlNet for Multimodal Content Generation

Juntao Zhang, Yuehuai LIU, Yu-Wing Tai et al.

Personalized Residuals for Concept-Driven Text-to-Image Generation

Cusuh Ham, Matthew Fisher, James Hays et al.

Naturally Supervised 3D Visual Grounding with Language-Regularized Concept Learners

Chun Feng, Joy Hsu, Weiyu Liu et al.

Physics-guided Shape-from-Template: Monocular Video Perception through Neural Surrogate Models

David Stotko, Nils Wandel, Reinhard Klein

Fusing Personal and Environmental Cues for Identification and Segmentation of First-Person Camera Wearers in Third-Person Views

Ziwei Zhao, Yuchen Wang, Chuhua Wang

One More Step: A Versatile Plug-and-Play Module for Rectifying Diffusion Schedule Flaws and Enhancing Low-Frequency Controls

Minghui Hu, Jianbin Zheng, Chuanxia Zheng et al.

Active Object Detection with Knowledge Aggregation and Distillation from Large Models

Dejie Yang, Yang Liu

Neural Super-Resolution for Real-time Rendering with Radiance Demodulation

Jia Li, Ziling Chen, Xiaolong Wu et al.

Event-based Structure-from-Orbit

Ethan Elms, Yasir Latif, Tae Ha Park et al.

Time-Efficient Light-Field Acquisition Using Coded Aperture and Events

Shuji Habuchi, Keita Takahashi, Chihiro Tsutake et al.

Quantifying Uncertainty in Motion Prediction with Variational Bayesian Mixture

Juanwu Lu, Can Cui, Yunsheng Ma et al.

Benchmarking the Robustness of Temporal Action Detection Models Against Temporal Corruptions

Runhao Zeng, Xiaoyong Chen, Jiaming Liang et al.

Turb-Seg-Res: A Segment-then-Restore Pipeline for Dynamic Videos with Atmospheric Turbulence

Ripon Saha, Dehao Qin, Nianyi Li et al.

CDFormer: When Degradation Prediction Embraces Diffusion Model for Blind Image Super-Resolution

Qingguo Liu, Chenyi Zhuang, Pan Gao et al.

Semantics-aware Motion Retargeting with Vision-Language Models

Haodong Zhang, ZhiKe Chen, Haocheng Xu et al.

SurMo: Surface-based 4D Motion Modeling for Dynamic Human Rendering

Tao Hu, Fangzhou Hong, Ziwei Liu

A Unified and Interpretable Emotion Representation and Expression Generation

Reni Paskaleva, Mykyta Holubakha, Andela Ilic et al.

Purified and Unified Steganographic Network

GuoBiao Li, Sheng Li, Zicong Luo et al.

Bilateral Event Mining and Complementary for Event Stream Super-Resolution

Zhilin Huang, Quanmin Liang, Yijie Yu et al.

Boosting Flow-based Generative Super-Resolution Models via Learned Prior

Li-Yuan Tsao, Yi-Chen Lo, Chia-Che Chang et al.

TULIP: Multi-camera 3D Precision Assessment of Parkinson’s Disease

Kyungdo Kim, Sihan Lyu, Sneha Mantri et al.

DiG-IN: Diffusion Guidance for Investigating Networks - Uncovering Classifier Differences Neuron Visualisations and Visual Counterfactual Explanations

Maximilian Augustin, Yannic Neuhaus, Matthias Hein

UnSAMFlow: Unsupervised Optical Flow Guided by Segment Anything Model

Shuai Yuan, Lei Luo, Zhuo Hui et al.

Hierarchical Correlation Clustering and Tree Preserving Embedding

Morteza Haghir Chehreghani, Mostafa Haghir Chehreghani

Meta-Point Learning and Refining for Category-Agnostic Pose Estimation

Junjie Chen, Jiebin Yan, Yuming Fang et al.

ProxyCap: Real-time Monocular Full-body Capture in World Space via Human-Centric Proxy-to-Motion Learning

Yuxiang Zhang, Hongwen Zhang, Liangxiao Hu et al.

Making Visual Sense of Oracle Bones for You and Me

Runqi Qiao, LAN YANG, Kaiyue Pang et al.

Towards More Accurate Diffusion Model Acceleration with A Timestep Tuner

Mengfei Xia, Yujun Shen, Changsong Lei et al.

GOV-NeSF: Generalizable Open-Vocabulary Neural Semantic Fields

Fangyin Wei, Hanlin Chen, Gim Hee Lee

A Study of Dropout-Induced Modality Bias on Robustness to Missing Video Frames for Audio-Visual Speech Recognition

Yusheng Dai, HangChen, Jun Du et al.

MOHO: Learning Single-view Hand-held Object Reconstruction with Multi-view Occlusion-Aware Supervision

Chenyangguang Zhang, Guanlong Jiao, Yan Di et al.

Memory-Scalable and Simplified Functional Map Learning

Robin Magnet, Maks Ovsjanikov

High-Quality Facial Geometry and Appearance Capture at Home

Yuxuan Han, Junfeng Lyu, Feng Xu

2S-UDF: A Novel Two-stage UDF Learning Method for Robust Non-watertight Model Reconstruction from Multi-view Images

Junkai Deng, Fei Hou, Xuhui Chen et al.

ProMotion: Prototypes As Motion Learners

Yawen Lu, Dongfang Liu, Qifan Wang et al.

CodedEvents: Optimal Point-Spread-Function Engineering for 3D-Tracking with Event Cameras

Sachin Shah, Matthew Chan, Haoming Cai et al.

Facial Identity Anonymization via Intrinsic and Extrinsic Attention Distraction

Zhenzhong Kuang, Xiaochen Yang, Yingjie Shen et al.

FREE: Faster and Better Data-Free Meta-Learning

Yongxian Wei, Zixuan Hu, Zhenyi Wang et al.

Building a Strong Pre-Training Baseline for Universal 3D Large-Scale Perception

Haoming Chen, Zhizhong Zhang, Yanyun Qu et al.

Solving Masked Jigsaw Puzzles with Diffusion Vision Transformers

Jinyang Liu, Wondmgezahu Teshome, Sandesh Ghimire et al.

TurboSL: Dense Accurate and Fast 3D by Neural Inverse Structured Light

Parsa Mirdehghan, Maxx Wu, Wenzheng Chen et al.

FairDeDup: Detecting and Mitigating Vision-Language Fairness Disparities in Semantic Dataset Deduplication

Eric Slyman, Stefan Lee, Scott Cohen et al.

OmniSDF: Scene Reconstruction using Omnidirectional Signed Distance Functions and Adaptive Binoctrees

Hakyeong Kim, Andreas Meuleman, Hyeonjoong Jang et al.

Authentic Hand Avatar from a Phone Scan via Universal Hand Model

Gyeongsik Moon, Weipeng Xu, Rohan Joshi et al.

BANF: Band-Limited Neural Fields for Levels of Detail Reconstruction

Ahan Shabanov, Shrisudhan Govindarajan, Cody Reading et al.

Relation Rectification in Diffusion Model

Yinwei Wu, Xingyi Yang, Xinchao Wang

Efficient 3D Implicit Head Avatar with Mesh-anchored Hash Table Blendshapes

Ziqian Bai, Feitong Tan, Sean Fanello et al.

Navigating Beyond Dropout: An Intriguing Solution towards Generalizable Image Super Resolution

Hongjun Wang, Jiyuan Chen, Yinqiang Zheng et al.

DUDF: Differentiable Unsigned Distance Fields with Hyperbolic Scaling

Miguel Fainstein, Viviana Siless, Emmanuel Iarussi

A General and Efficient Training for Transformer via Token Expansion

Wenxuan Huang, Yunhang Shen, Jiao Xie et al.

Uncertainty-Aware Source-Free Adaptive Image Super-Resolution with Wavelet Augmentation Transformer

Yuang Ai, Xiaoqiang Zhou, Huaibo Huang et al.

Learning Spatial Features from Audio-Visual Correspondence in Egocentric Videos

Sagnik Majumder, Ziad Al-Halah, Kristen Grauman

Resolution Limit of Single-Photon LiDAR

Stanley H. Chan, Hashan K Weerasooriya, Weijian Zhang et al.

What When and Where? Self-Supervised Spatio-Temporal Grounding in Untrimmed Multi-Action Videos from Narrated Instructions

Brian Chen, Nina Shvetsova, Andrew Rouditchenko et al.

DreamSalon: A Staged Diffusion Framework for Preserving Identity-Context in Editable Face Generation

Haonan Lin

Equivariant Matrix Function Neural Networks

Ilyes Batatia, Lars Leon Schaaf, Gábor Csányi et al.

Communication-Efficient Gradient Descent-Accent Methods for Distributed Variational Inequalities: Unified Analysis and Local Updates

Siqi Zhang, Sayantan Choudhury, Sebastian Stich et al.

Neural Auto-designer for Enhanced Quantum Kernels

Cong Lei, Yuxuan Du, Peng Mi et al.

Understanding the robustness difference between stochastic gradient descent and adaptive gradient methods

Avery Ma, Yangchen Pan, Amir-massoud Farahmand

Bayesian Optimization through Gaussian Cox Process Models for Spatio-temporal Data

Yongsheng Mei, Mahdi Imani, Tian Lan

Physics-Regulated Deep Reinforcement Learning: Invariant Embeddings

Hongpeng Cao, Yanbing Mao, Lui Sha et al.

Rethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in RL

Xiangyu Liu, Souradip Chakraborty, Yanchao Sun et al.

The Wasserstein Believer: Learning Belief Updates for Partially Observable Environments through Reliable Latent Space Models

Raphael Avalos, Florent Delgrange, Ann Nowe et al.

MOFI: Learning Image Representations from Noisy Entity Annotated Images

Wentao Wu, Aleksei Timofeev, Chen Chen et al.

Modulate Your Spectrum in Self-Supervised Learning

Xi Weng, Yunhao Ni, Tengwei Song et al.

Learning with a Mole: Transferable latent spatial representations for navigation without reconstruction

Guillaume Bono, Leonid Antsfeld, Assem Sadek et al.

Skill Machines: Temporal Logic Skill Composition in Reinforcement Learning

Geraud Nangue Tasse, Devon Jarvis, Steven James et al.

Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models

Peiyan Zhang, Haoyang Liu, Chaozhuo Li et al.

Hybrid Distillation: Connecting Masked Autoencoders with Contrastive Learners

Bowen Shi, XIAOPENG ZHANG, Yaoming Wang et al.

Toward Student-oriented Teacher Network Training for Knowledge Distillation

Chengyu Dong, Liyuan Liu, Jingbo Shang

Matrix Manifold Neural Networks++

Xuan Son Nguyen, Yang, Aymeric Histace

Langevin Monte Carlo for strongly log-concave distributions: Randomized midpoint revisited

LU YU, Avetik Karagulyan, Arnak Dalalyan

DIG In: Evaluating Disparities in Image Generations with Indicators for Geographic Diversity

Melissa Hall, Candace Ross, Adina Williams et al.

Beam Enumeration: Probabilistic Explainability For Sample Efficient Self-conditioned Molecular Design

Jeff Guo, Philippe Schwaller

Balancing Act: Constraining Disparate Impact in Sparse Models

Meraj Hashemizadeh, Juan Ramirez, Rohan Sukumaran et al.

Understanding Expressivity of GNN in Rule Learning

Haiquan Qiu, Yongqi Zhang, Yong Li et al.

Deceptive Fairness Attacks on Graphs via Meta Learning

Jian Kang, Yinglong Xia, Ross Maciejewski et al.

Improved Active Learning via Dependent Leverage Score Sampling

Atsushi Shimizu, Xiaoou Cheng, Christopher Musco et al.

ASMR: Activation-Sharing Multi-Resolution Coordinate Networks for Efficient Inference

Jason Chun Lok Li, Steven Luo, Le Xu et al.

Emergent mechanisms for long timescales depend on training curriculum and affect performance in memory tasks

Sina Khajehabdollahi, Roxana Zeraati, Emmanouil Giannakakis et al.

Uncertainty Quantification via Stable Distribution Propagation

Felix Petersen, Aashwin Mishra, Hilde Kuehne et al.

Bellman Optimal Stepsize Straightening of Flow-Matching Models

Bao Nguyen, Binh Nguyen, Viet Anh Nguyen

Poly-View Contrastive Learning

Amitis Shidani, R Devon Hjelm, Jason Ramapuram et al.

Latent Representation and Simulation of Markov Processes via Time-Lagged Information Bottleneck

Marco Federici, Patrick Forré, Ryota Tomioka et al.

TextField3D: Towards Enhancing Open-Vocabulary 3D Generation with Noisy Text Fields

Tianyu Huang, Yihan Zeng, Bowen Dong et al.

Neural Language of Thought Models

Yi-Fu Wu, Minseung Lee, Sungjin Ahn

Towards Training Without Depth Limits: Batch Normalization Without Gradient Explosion

Alexandru Meterez, Amir Joudaki, Francesco Orabona et al.

ARM: Refining Multivariate Forecasting with Adaptive Temporal-Contextual Learning

Jiecheng Lu, Xu Han, Shihao Yang

Learning Multi-Agent Communication with Contrastive Learning

Yat Long (Richie) Lo, Biswa Sengupta, Jakob Foerster et al.

Threshold-Consistent Margin Loss for Open-World Deep Metric Learning

Qin ZHANG, Linghan Xu, Jun Fang et al.

DreamSmooth: Improving Model-based Reinforcement Learning via Reward Smoothing

Vint Lee, Pieter Abbeel, Youngwoon Lee

Expected flow networks in stochastic environments and two-player zero-sum games

Marco Jiralerspong, Bilun Sun, Danilo Vucetic et al.