Cover Image

Expressivity of Representation Learning on Continuous-Time Dynamic Graphs: An Information-Flow Centric Review

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ennadir, Sofiane, Gandler, Gabriela Zarzar, Cornell, Filip, Cao, Lele, Smirnov, Oleg, Wang, Tianze, Zólyomi, Levente, Brinne, Björn, Asadi, Sahar
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence 68R10, 05Cxx, 68Txx I.2.6; I.5.1; G.2.2
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SemanticVocoder: Bridging Audio Generation and Audio Understanding via Semantic Latents
by: Xie, Zeyu, et al.
Published: (2026)

When Audio Generators Become Good Listeners: Generative Features for Understanding Tasks
by: Xie, Zeyu, et al.
Published: (2025)

Verifiable Dropout: Turning Randomness into a Verifiable Claim
by: Lee, Kichang, et al.
Published: (2025)

Distributional Drift Adaptation with Temporal Conditional Variational Autoencoder for Multivariate Time Series Forecasting
by: He, Hui, et al.
Published: (2022)

STAR: Speech-to-Audio Generation via Representation Learning
by: Xie, Zeyu, et al.
Published: (2025)

FakeSound2: A Benchmark for Explainable and Generalizable Deepfake Sound Detection
by: Xie, Zeyu, et al.
Published: (2025)

PicoAudio: Enabling Precise Timestamp and Frequency Controllability of Audio Events in Text-to-audio Generation
by: Xie, Zeyu, et al.
Published: (2024)

AudioTime: A Temporally-aligned Audio-text Benchmark Dataset
by: Xie, Zeyu, et al.
Published: (2024)

Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems
by: Bădică, Costin, et al.
Published: (2025)

CAST-TTS: A Simple Cross-Attention Framework for Unified Timbre Control in TTS
by: Zheng, Zihao, et al.
Published: (2026)

PicoAudio2: Temporal Controllable Text-to-Audio Generation with Natural Language Description
by: Zheng, Zihao, et al.
Published: (2025)

FakeSound: Deepfake General Audio Detection
by: Xie, Zeyu, et al.
Published: (2024)

Superior Scoring Rules for Probabilistic Evaluation of Single-Label Multi-Class Classification Tasks
by: Ahmadian, Rouhollah, et al.
Published: (2024)

Reinforcement Learning for Control of Evolutionary and Ecological Processes
by: Bagley, Bryce Allen, et al.
Published: (2023)

RoNFA: Robust Neural Field-based Approach for Few-Shot Image Classification with Noisy Labels
by: Xiang, Nan, et al.
Published: (2025)

Robust Multivariate Time Series Forecasting against Intra- and Inter-Series Transitional Shift
by: He, Hui, et al.
Published: (2024)

AI-Driven Innovations in Modern Cloud Computing
by: Kumar, Animesh
Published: (2024)

Enabling Trustworthy Federated Learning in Industrial IoT: Bridging the Gap Between Interpretability and Robustness
by: Jagatheesaperumal, Senthil Kumar, et al.
Published: (2024)

Redefining Finance: The Influence of Artificial Intelligence (AI) and Machine Learning (ML)
by: Kumar, Animesh
Published: (2024)

Toward Storage-Aware Learning with Compressed Data An Empirical Exploratory Study on JPEG
by: Lee, Kichang, et al.
Published: (2025)

PairHuman: A High-Fidelity Photographic Dataset for Customized Dual-Person Generation
by: Pan, Ting, et al.
Published: (2025)

VALSE: A Task-Independent Benchmark for Vision and Language Models Centered on Linguistic Phenomena
by: Parcalabescu, Letitia, et al.
Published: (2021)

On Measuring Faithfulness or Self-consistency of Natural Language Explanations
by: Parcalabescu, Letitia, et al.
Published: (2023)

MM-SHAP: A Performance-agnostic Metric for Measuring Multimodal Contributions in Vision and Language Models & Tasks
by: Parcalabescu, Letitia, et al.
Published: (2022)

Control Barrier Corridors: From Safety Functions to Safe Sets
by: Arslan, Ömür, et al.
Published: (2026)

The Maximum Number of Sets for 12 Cards is 14
by: Stevens, Justin, et al.
Published: (2025)

Conversion rate prediction in online advertising: modeling techniques, performance evaluation and future directions
by: Xue, Tao, et al.
Published: (2025)

Toward a benchmark for CTR prediction in online advertising: datasets, evaluation protocols and perspectives
by: Gao, Shan, et al.
Published: (2025)

Temperature Scaling Attack Disrupting Model Confidence in Federated Learning
by: Lee, Kichang, et al.
Published: (2026)

Emergence of heavy tails in homogenized stochastic gradient descent
by: Jiao, Zhe, et al.
Published: (2024)

Do Vision & Language Decoders use Images and Text equally? How Self-consistent are their Explanations?
by: Parcalabescu, Letitia, et al.
Published: (2024)

Dynamic Cooperative Strategies in Search Engine Advertising Market: With and Without Retail Competition
by: Li, Huiran, et al.
Published: (2025)

Koopman operator learning using invertible neural networks
by: Meng, Yuhuang, et al.
Published: (2023)

Multimodal sensor fusion in the latent representation space
by: Piechocki, Robert J., et al.
Published: (2022)

Dance of the ADS: Orchestrating Failures through Historically-Informed Scenario Fuzzing
by: Wang, Tong, et al.
Published: (2024)

pcbGPT: Automatic PCB Schematic Synthesis from Natural Language Requirements
by: King, Tobias, et al.
Published: (2026)

Recurrent Transformer-Based Near- and Far-Field THz Wideband Channel Estimation for UM-MIMO
by: Artemasov, Dmitry, et al.
Published: (2026)

Model-Based Soft Maximization of Suitable Metrics of Long-Term Human Power
by: Heitzig, Jobst, et al.
Published: (2025)

Tricks and Plug-ins for Gradient Boosting in Image Classification
by: Fang, Biyi, et al.
Published: (2025)

CellARC: Measuring Intelligence with Cellular Automata
by: Lžičař, Miroslav
Published: (2025)