PSC: Posterior Sampling-Based Compression
Noam Elata, Tomer Michaeli, Michael Elad
Action editor: Jakub Tomczak
https://openreview.net/forum?id=OsqgU6Jz4t
#compression #encode #decoder
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PSC: Posterior Sampling-Based Compression
Noam Elata, Tomer Michaeli, Michael Elad
Action editor: Jakub Tomczak
https://openreview.net/forum?id=OsqgU6Jz4t
#compression #encode #decoder
Temporal horizons in forecasting: a performance-learnability trade-off
Pau Vilimelis Aceituno, Jack William Miller, Noah Marti, Youssef Farag, Victor Boussange
Action editor: Andreas Lehrmann
https://openreview.net/forum?id=BeudQIxT1R
#forecasting #forecast #forecasts
New #J2C Certification:
FusionProt: Fusing Sequence and Structural Information for Unified Protein Representation Learning
Dan Kalifa, Uriel Singer, Kira Radinsky
https://openreview.net/forum?id=imcinaOHod
#fusionprot #learns #protein
Coreset-Driven Re-Labeling: Tackling Noisy Annotations with Noise-Free Gradients
Saumyaranjan Mohanty, Konda Reddy Mopuri
Action editor: Anurag Arnab
https://openreview.net/forum?id=Tk78vb2Qd7
#labeling #annotations #annotation
New #J2C Certification:
Training Dynamics of Learning 3D-Rotational Equivariance
Max W Shen, Ewa Nowara, Michael Maser, Kyunghyun Cho
https://openreview.net/forum?id=DLOIAW18W3
#equivariance #rotations #symmetry
Large-Scale Targeted Cause Discovery via Learning from Simulated Data
Jang-Hyun Kim, Claudia Skok Gibbs, Sangdoo Yun, Hyun Oh Song, Kyunghyun Cho
Action editor: Vlad Niculae
https://openreview.net/forum?id=NVgy29IQw8
#causal #gene #discovery
Beyond Marginals: Learning Joint Spatio-Temporal Patterns for Multivariate Anomaly Detection
Padmaksha Roy, Almuatazbellah Boker, Lamine Mili
Action editor: Philip Chan
https://openreview.net/forum?id=iETTv1okjX
#copula #anomaly #multivariate
k-NN as a Simple and Effective Estimator of Transferability
Moein Sorkhei, Christos Matsoukas, Johan Fredin Haslum, Emir Konuk, Kevin Smith
Action editor: Yannis Kalantidis
https://openreview.net/forum?id=hGlkjP1zHc
#transferability #transfer #supervision
Balancing Utility and Privacy: Dynamically Private SGD with Random Projection
Zhanhong Jiang, Md Zahid Hasan, Nastaran Saadati, Aditya Balu, Chao Liu, Soumik Sarkar
Action editor: Yiming Ying
https://openreview.net/forum?id=u6OSRdkAwl
#privacy #private #sgd
Data-Driven Discovery of PDEs via the Adjoint Method
Mohsen Sadr, Tony Tohme, KAMAL YOUCEF-TOUMI
Action editor: Markus Heinonen
https://openreview.net/forum?id=Az3mJ4d1eT
#pdes #pde #gradients
Decomposed Direct Preference Optimization for Structure-Based Drug Design
Xiwei Cheng, Xiangxin Zhou, Yuwei Yang, Yu Bao, Quanquan Gu
Action editor: Markus Heinonen
https://openreview.net/forum?id=dwSpo5DRk8
#pharmaceutical #molecular #optimization
Dependency-aware Maximum Likelihood Estimation for Active Learning
Beyza Kalkanli, Tales Imbiriba, Stratis Ioannidis, Deniz Erdogmus, Jennifer Dy
Action editor: Chicheng Zhang
https://openreview.net/forum?id=qDVDSXXGK1
#labeled #annotators #mle
Aggregating Algorithm and Axiomatic Loss Aggregation
Armando J Cabrera Pacheco, Rabanus Derr, Robert Williamson
Action editor: Benjamin Guedj
https://openreview.net/forum?id=4bUuWtOuDx
#aggregation #aggregating #learner
Designing Algorithms Empowered by Language Models: An Analytical Framework, Case Studies, and Ins...
Yanxi Chen, Yaliang Li, Bolin Ding, Jingren Zhou
Action editor: Binhang Yuan
https://openreview.net/forum?id=nJ7RECkxQr
#algorithms #ai #agentic
Recursive SNE: Fast Prototype-Based t-SNE for Large-Scale and Online Data
Agil Aghasanli, Plamen P Angelov
Action editor: Jeff Phillips
https://openreview.net/forum?id=7wCPAFMDWM
#rsne #sne #embedding
Regret Analysis of Posterior Sampling-Based Expected Improvement for Bayesian Optimization
Shion Takeno, Yu Inatsu, Masayuki Karasuyama, Ichiro Takeuchi
Action editor: Roman Garnett
https://openreview.net/forum?id=v0s9knY99c
#optimizing #optimization #bayesian
Stochastic Subspace Descent Accelerated via Bi-fidelity Line Search
Nuojin Cheng, Alireza Doostan, Stephen Becker
Action editor: Samuel Vaiter
https://openreview.net/forum?id=xuOQUs5YmT
#optimization #benchmark #gradient
Efficient Reasoning Models: A Survey
Sicheng Feng, Gongfan Fang, Xinyin Ma, Xinchao Wang
Action editor: Gunhee Kim
https://openreview.net/forum?id=sySqlxj8EB
#thinking #efficient #reasoning
Goal Recognition Design for General Behavioral Agents using Machine Learning
Robert Kasumba, Guanghui Yu, Chien-Ju Ho, Sarah Keren, William Yeoh
Action editor: Florian Schaefer
https://openreview.net/forum?id=GDuWBhvMid
#goals #optimize #agent
FoMo-0D: A Foundation Model for Zero-shot Tabular Outlier Detection
Yuchen Shen, Haomin Wen, Leman Akoglu
Action editor: Jiangchao Yao
https://openreview.net/forum?id=XCQzwpR9jE
#outlier #inlier #hyperparameters
Flow-Attentional Graph Neural Networks
Pascal Plettenberg, Dominik KΓΆhler, Bernhard Sick, Josephine Thomas
Action editor: Shuiwang Ji
https://openreview.net/forum?id=tOzg7UxTPD
#graphs #graph #flow
A Comprehensive Survey on Knowledge Distillation
Amir M. Mansourian, Rozhan Ahmadi, Masoud Ghafouri et al.
Action editor: Changyou Chen
https://openreview.net/forum?id=3cbJzdR78B
#distillation #dnns #knowledge
Exponential tilting of subweibull distributions
F. William Townes
Action editor: Jasper C.H. Lee
https://openreview.net/forum?id=BQBk11IE7I
#distributions #subgaussian #subweibull
The Accuracy Cost of Weakness: A Theoretical Analysis of Fixed-Segment Weak Labeling for Events i...
John Martinsson, Tuomas Virtanen, Maria Sandsten, Olof Mogren
Action editor: Lei Feng
https://openreview.net/forum?id=tTw8wXBQ18
#labeling #annotators #annotations
Cross-Domain Graph Anomaly Detection via Test-Time Training with Homophily-Guided Self-Supervision
Delaram Pirhayatifard, Arlei Silva
Action editor: Han Zhao
https://openreview.net/forum?id=sB3LqdOlNb
#anomaly #supervised #anomalies
Language-assisted Feature Representation and Lightweight Active Learning For On-the-Fly Category ...
Anwesha Banerjee, Soma Biswas
Action editor: Brian Kulis
https://openreview.net/forum?id=ZihFoM8K0j
#categories #recognizing #category
LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation
Xuan Zhang, Fengzhuo Zhang, Cunxiao Du, Chao Du, Tianyu Pang, Wei Gao, Min Lin
Action editor: Li Dong
https://openreview.net/forum?id=kne4vWICr0
#attention #memory #lazy
Conditional Latent Space Molecular Scaffold Optimization for Accelerated Molecular Design
Onur Boyar, Hiroyuki Hanada, Ichiro Takeuchi
Action editor: Stanislaw Jastrzebski
https://openreview.net/forum?id=KhxVc9RBJv
#molecular #molecule #molecules
Segmenting Text and Learning Their Rewards for Improved RLHF in Language Model
Yueqin Yin, Shentao Yang, Yujia Xie et al.
Action editor: Alec Koppel
https://openreview.net/forum?id=YhLlqD0UNi
#reward #rewards #bandit
Generalized Orders of Magnitude for Scalable, Parallel, High-Dynamic-Range Computation
Franz A. Heinsen, Leo Kozachkov
Action editor: William Redman
https://openreview.net/forum?id=SUuzb0SOGu
#scalable #numerically #floating