Alex Dimakis
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
25
Venues
7
Active years
2011–2025
Best venue rank
A*
Where they publish
Papers
25 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | Viewpoint Rosetta Stone: Unlocking Unpaired Ego-Exo Videos for View-invariant Representation Learning. | Mi Luo, Zihui Xue, Alex Dimakis, Kristen Grauman |
| 2025 | EMNLP | Large Language Models as Realistic Microservice Trace Generators. | Donghyun Kim, Sriram Ravula, Taemin Ha, Alex Dimakis, Daehyeok Kim, Aditya Akella |
| 2025 | ICLR | Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models Trained on Corrupted Data. | Asad Aali, Giannis Daras, Brett Levac, Sidharth Kumar, Alex Dimakis, Jonathan I. Tamir |
| 2025 | ICLR | Language models scale reliably with over-training and on downstream tasks. | Samir Yitzhak Gadre, Georgios Smyrnis, Vaishaal Shankar, Suchin Gururangan, Mitchell Wortsman, Rulin Shao, Jean Mercat, Alex Fang, Jeffrey Li, Sedrick Keh, Rui Xin, Marianna Nezhurina, Igor Vasiljevic, Luca Soldaini, Jenia Jitsev, Alex Dimakis, Gabriel Ilharco, Pang Wei Koh, Shuran Song, Thomas Kollar, et al. |
| 2025 | ICLR | Infilling Score: A Pretraining Data Detection Algorithm for Large Language Models. | Negin Raoof, Litu Rout, Giannis Daras, Sujay Sanghavi, Constantine Caramanis, Sanjay Shakkottai, Alex Dimakis |
| 2025 | ICML | Geometric Median (GM) Matching for Robust k-Subset Selection from Noisy Data. | Anish Acharya, Sujay Sanghavi, Alex Dimakis, Inderjit S. Dhillon |
| 2024 | ECCV | 4DIFF: 3D-Aware Diffusion Model for Third-to-First Viewpoint Translation. | Feng Cheng, Mi Luo, Huiyu Wang, Alex Dimakis, Lorenzo Torresani, Gedas Bertasius, Kristen Grauman |
| 2024 | ECCV | Put Myself in Your Shoes: Lifting the Egocentric Perspective from Exocentric Videos. | Mi Luo, Zihui Xue, Alex Dimakis, Kristen Grauman |
| 2024 | EMNLP | Which questions should I answer? Salience Prediction of Inquisitive Questions. | Yating Wu, Ritika Mangla, Alex Dimakis, Greg Durrett, Junyi Jessy Li |
| 2024 | ICML | Consistent Diffusion Meets Tweedie: Training Exact Ambient Diffusion Models with Noisy Data. | Giannis Daras, Alex Dimakis, Constantinos Daskalakis |
| 2023 | ICLR | HotProtein: A Novel Framework for Protein Thermostability Prediction and Editing. | Tianlong Chen, Chengyue Gong, Daniel Jesus Diaz, Xuxi Chen, Jordan Tyler Wells, Qiang Liu, Zhangyang Wang, Andrew D. Ellington, Alex Dimakis, Adam R. Klivans |
| 2023 | ICML | Restoration-Degradation Beyond Linear Diffusions: A Non-Asymptotic Analysis For DDIM-type Samplers. | Sitan Chen, Giannis Daras, Alex Dimakis |
| 2022 | ICML | Score-Guided Intermediate Level Optimization: Fast Langevin Mixing for Inverse Problems. | Giannis Daras, Yuval Dagan, Alex Dimakis, Constantinos Daskalakis |
| 2021 | ICML | Intermediate Layer Optimization for Inverse Problems using Deep Generative Models. | Giannis Daras, Joseph Dean, Ajil Jalal, Alex Dimakis |
| 2021 | ICML | Instance-Optimal Compressed Sensing via Posterior Sampling. | Ajil Jalal, Sushrut Karmalkar, Alex Dimakis, Eric Price |
| 2021 | ICML | Fairness for Image Generation with Uncertain Sensitive Attributes. | Ajil Jalal, Sushrut Karmalkar, Jessica Hoffmann, Alex Dimakis, Eric Price |
| 2021 | ICML | Provable Lipschitz Certification for Generative Models. | Matt Jordan, Alex Dimakis |
| 2021 | ICML | Solving Inverse Problems with a Flow-based Noise Model. | Jay Whang, Qi Lei, Alex Dimakis |
| 2021 | ICML | Composing Normalizing Flows for Inverse Problems. | Jay Whang, Erik M. Lindgren, Alex Dimakis |
| 2020 | AISTATS | Communication-Efficient Asynchronous Stochastic Frank-Wolfe over Nuclear-norm Balls. | Jiacheng Zhuo, Qi Lei, Alex Dimakis, Constantine Caramanis |
| 2020 | ICML | SGD Learns One-Layer Networks in WGANs. | Qi Lei, Jason D. Lee, Alex Dimakis, Constantinos Daskalakis |
| 2019 | ICML | Learning a Compressed Sensing Measurement Matrix via Gradient Unrolling. | Shanshan Wu, Alex Dimakis, Sujay Sanghavi, Felix X. Yu, Daniel Niels Holtmann-Rice, Dmitry Storcheus, Afshin Rostamizadeh, Sanjiv Kumar |
| 2018 | ICML | Gradient Coding from Cyclic MDS Codes and Expander Graphs. | Netanel Raviv, Rashish Tandon, Alex Dimakis, Itzhak Tamo |
| 2017 | ICML | Cost-Optimal Learning of Causal Graphs. | Murat Kocaoglu, Alex Dimakis, Sriram Vishwanath |
| 2011 | ACSSC | Session TP4b: Distributed storage systems. | Alex Dimakis |