ICML

Assessment of Prediction Intervals Using Uncertainty Characteristics Curves

Jiri Navratil, Benjamin Elder, Matthew Arnold, Soumya Ghosh, Prasanna Sattigeri

Comments Published at Workshop on Distribution-Free Uncertainty Quantification, International Conference on Machine Learning (ICML), July 2022. arXiv admin note: substantial text overlap with arXiv:2106.00858

Dynamic Changes of Brain Network during Epileptic Seizure

Atefeh Khoshkhahtinat, Hoda Mohammadzade

Comments Accepted to IEEE $22^{nd}$ International Conference on Machine Learning and Applications 2023 (ICMLA)

Hybrid Inception Architecture with Residual Connection: Fine-tuned Inception-ResNet Deep Learning Model for Lung Inflammation Diagnosis from Chest Radiographs

Mehdi Neshat, Muktar Ahmed, Hossein Askari, Menasha Thilakaratne, Seyedali Mirjalili

Comments Accepted at International Conference on Machine Learning and Data Engineering (ICMLDE 2023)

Efficient Graph Field Integrators Meet Point Clouds

Krzysztof Choromanski, Arijit Sehanobish, Han Lin, Yunfan Zhao, Eli Berger, Tetiana Parshakova, Alvin Pan, David Watkins, Tianyi Zhang, Valerii Likhosherstov, Somnath Basu Roy Chowdhury, Avinava Dubey, Deepali Jain, Tamas Sarlos, Snigdha Chaturvedi, Adrian Weller

Journal ref ICML 2023

Latent Diffusion Energy-Based Model for Interpretable Text Modeling

Peiyu Yu, Sirui Xie, Xiaojian Ma, Baoxiong Jia, Bo Pang, Ruiqi Gao, Yixin Zhu, Song-Chun Zhu, Ying Nian Wu

Comments ICML 2022

Self-supervised Neural Factor Analysis for Disentangling Utterance-level Speech Representations

Weiwei Lin, Chenhang He, Man-Wai Mak, Youzhi Tu

Comments accepted by ICML 2023

Simulation-based Inference with the Generalized Kullback-Leibler Divergence

Benjamin Kurt Miller, Marco Federici, Christoph Weniger, Patrick Forré

Comments Accepted at Synergy of Scientific and Machine Learning Modeling ICML 2023 Workshop https://syns-ml.github.io/2023/contributions/

Nugget: Neural Agglomerative Embeddings of Text

Guanghui Qin, Benjamin Van Durme

Comments Appeared at ICML 2023

Journal ref ICML 2023

Mitigating Label Bias via Decoupled Confident Learning

Yunyi Li, Maria De-Arteaga, Maytal Saar-Tsechansky

Comments AI & HCI Workshop at the 40th International Conference on Machine Learning (ICML), Honolulu, Hawaii, USA. 2023

Efficient Quantum Algorithms for Quantum Optimal Control

Xiantao Li, Chunhao Wang

Comments 18 pages, 2 figures. Minor corrections. In ICML 2023

Breaking the Deadly Triad with a Target Network

Shangtong Zhang, Hengshuai Yao, Shimon Whiteson

Comments ICML 2021

Time Delay Cosmography with a Neural Ratio Estimator

Ève Campeau-Poirier, Laurence Perreault-Levasseur, Adam Coogan, Yashar Hezaveh

Comments 5+3 pages, 2+2 figures, Accepted (spotlight talk) for the Machine Learning for Astrophysics Workshop at the 40th International Conference on Machine Learning (ICML 2023)

A Geometric Perspective on Autoencoders

Yonghyeon Lee

Comments 10 pages, 13 figures, a summary of the contents presented in publications from NeurIPS 2021, ICLR 2022, and TAG-ML at ICML 2023

Causal Graph Discovery from Self and Mutually Exciting Time Series

Song Wei, Yao Xie, Christopher S. Josef, Rishikesan Kamaleswaran

Comments See v2 for a previous workshop paper on Interpretable ML in Healthcare (IMLH) at ICML 2021, titled "Causal Graph Recovery for Sepsis-Associated Derangements via Interpretable Hawkes Networks". Also, see arXiv:2301.11336 for a short version with more experiments of our proposed method to learn "strict" DAGs

How to address monotonicity for model risk management?

Dangxing Chen, Weicheng Ye

Journal ref In Proceedings of the 40th International Conference on Machine Learning, 2023, (Proceedings of Machine Learning Research, Vol. 202). PMLR, 5282-5295

Utilizing Expert Features for Contrastive Learning of Time-Series Representations

Manuel Nonnenmacher, Lukas Oldenburg, Ingo Steinwart, David Reeb

Journal ref Proceedings of the 39th International Conference on Machine Learning (ICML), PMLR 162:16969-16989, 2022

Trading-off Mutual Information on Feature Aggregation for Face Recognition

Mohammad Akyash, Ali Zafari, Nasser M. Nasrabadi

Comments Accepted to 22$^{nd}$ IEEE International Conference on Machine Learning and Applications 2023 (ICMLA)

Dilated Convolution with Learnable Spacings: beyond bilinear interpolation

Ismail Khalfaoui-Hassani, Thomas Pellegrini, Timothée Masquelier

Comments Published in ICML 2023 Workshop on Differentiable Almost Everything: Differentiable Relaxations, Algorithms, Operators, and Simulators. 2023

LLM Guided Inductive Inference for Solving Compositional Problems

Abhigya Sodani, Lauren Moos, Matthew Mirman

Comments 5 pages, ICML TEACH Workshop

CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular Synthesis

Chaejeong Lee, Jayoung Kim, Noseong Park

Comments Accepted by ICML 2023

Multi-agent Deep Covering Skill Discovery

Jiayu Chen, Marina Haliem, Tian Lan, Vaneet Aggarwal

Comments This paper was presented in part at the ICML Reinforcement Learning for Real Life Workshop, July 2021

Hierarchical Multi-Agent Reinforcement Learning for Air Combat Maneuvering

Ardian Selmonaj, Oleg Szehr, Giacomo Del Rio, Alessandro Antonucci, Adrian Schneider, Michael Rüegsegger

Comments 22nd International Conference on Machine Learning and Applications (ICMLA 23)

Multi-Context Dual Hyper-Prior Neural Image Compression

Atefeh Khoshkhahtinat, Ali Zafari, Piyush M. Mehta, Mohammad Akyash, Hossein Kashiani, Nasser M. Nasrabadi

Comments Accepted to IEEE 22$^nd$ International Conference on Machine Learning and Applications 2023 (ICMLA) - Selected for Oral Presentation

Context-Aware Neural Video Compression on Solar Dynamics Observatory

Atefeh Khoshkhahtinat, Ali Zafari, Piyush M. Mehta, Nasser M. Nasrabadi, Barbara J. Thompson, Michael S. F. Kirk, Daniel da Silva

Comments Accepted to IEEE 22$^{nd}$ International Conference on Machine Learning and Applications 2023 (ICMLA) - Selected for Oral Presentation

Computational Approaches for App-to-App Retrieval and Design Consistency Check

Seokhyeon Park, Wonjae Kim, Young-Ho Kim, Jinwook Seo

Comments AI & HCI Workshop at the ICML 2023

On Explicit Curvature Regularization in Deep Generative Models

Yonghyeon Lee, Frank Chongwoo Park

Comments 2nd Annual Workshop on Topology, Algebra, and Geometry in Machine Learning (TAG-ML) at the ICML 2023

Representation Learning in Low-rank Slate-based Recommender Systems

Yijia Dai, Wen Sun

Comments in MFPL, ICML 2023

Oscillation-free Quantization for Low-bit Vision Transformers

Shih-Yang Liu, Zechun Liu, Kwang-Ting Cheng

Comments Proceedings of the 40 th International Conference on Machine Learning, Honolulu, Hawaii, USA. PMLR 202, 2023

Journal ref ICML 2023

Near-Optimal $Φ$-Regret Learning in Extensive-Form Games

Ioannis Anagnostides, Gabriele Farina, Tuomas Sandholm

Comments Appearing at ICML 2023. V3 corrects a statement

Evaluating Adversarial Robustness with Expected Viable Performance

Ryan McCoppin, Colin Dawson, Sean M. Kennedy, Leslie M. Blaha

Comments Accepted at the 22nd International Conference on Machine Learning and Applications (IEEE 2023)