---
title: "Ruslan Salakhutdinov — all 354 works in our library, page 4"
description: "All 354 works of Ruslan Salakhutdinov in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
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---
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# Ruslan Salakhutdinov — all works

354 works · page 4 of 4 · 301–354 · [← Ruslan Salakhutdinov](https://md.research.elamur.ai/free/en/authors/ruslan-salakhutdinov/)

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301. **[MyPCBench: A Benchmark for Personally Intelligent Computer-Use Agents ↗](https://arxiv.org/abs/2606.16748) arXiv (Cornell University) · no summary yet**Lawrence Jang et al.*2026 · 1 citation*
302. **[Tail-Likelihood Reinforcement Learning ↗](https://arxiv.org/abs/2609.02987) arXiv (Cornell University) · no summary yet**Shrinivas Ramasubramanian et al.*2026 · 1 citation*
303. **[Joint Distillation for Fast Likelihood Evaluation and Sampling in Flow-based Models ↗](https://arxiv.org/abs/2512.02636) arXiv (Cornell University) · no summary yet**Ai, Xinyue et al.*2025 · 1 citation*
304. **[Self-Regulation and Requesting Interventions ↗](https://arxiv.org/abs/2502.04576) arXiv (Cornell University) · no summary yet**Min, So Yeon et al.*2025 · 1 citation*
305. **[A Connection between One-Step Regularization and Critic Regularization in Reinforcement Learning ↗](https://arxiv.org/abs/2307.12968) arXiv (Cornell University) · no summary yet**Benjamin Eysenbach et al.*2023 · 1 citation*
306. **[MultiZoo & MultiBench: A Standardized Toolkit for Multimodal Deep Learning ↗](https://arxiv.org/abs/2306.16413) arXiv (Cornell University) · no summary yet**Paul Pu Liang et al.*2023 · 1 citation*
307. **[Post Selection Inference with Incomplete Maximum Mean Discrepancy Estimator ↗](https://arxiv.org/abs/1802.06226) arXiv (Cornell University) · no summary yet**Makoto Yamada et al.*2018 · 1 citation*
308. **[Discovering Order in Unordered Datasets: Generative Markov Networks ↗](https://arxiv.org/abs/1711.03167) arXiv (Cornell University) · no summary yet**Yao-Hung Hubert Tsai et al.*2017 · 1 citation*
309. **[Deep learning models for brain imaging: model depth enhances discovery power ↗](https://doi.org/10.7490/f1000research.1096273.1) F1000Research · no summary yet**Sergey Plis et al.*2014 · 1 citation*
310. **[Fast Inference and Learning for Modeling Documents with a Deep Boltzmann Machine ↗](https://openalex.org/W2184456254) no summary yet**Nitish Srivastava, Ruslan Salakhutdinov, Geoffrey E. Hinton*2013 · 1 citation*
311. **[Domain Adaptation: Overfitting and Small Sample Statistics ↗](https://arxiv.org/abs/1105.0857) arXiv (Cornell University) · no summary yet**Dean P. Foster, Sham M. Kakade, Ruslan Salakhutdinov*2011 · 1 citation*
312. **[cua-speedrun: Standardized Benchmarking of the Speed of Computer-Use Agents ↗](https://arxiv.org/abs/2609.40284) arXiv (Cornell University) · no summary yet**Pranjal Aggarwal et al.*2026*
313. **[IsoCompute Playbook: Optimally Scaling Sampling Compute for LLM RL ↗](https://arxiv.org/abs/2603.12151) arXiv (Cornell University) · no summary yet**Zhoujun Cheng et al.*2026*
314. **[Thinking Before Thinking: Scaling Agentic Inference Through Meta-Reasoning ↗](https://arxiv.org/abs/2609.38147) arXiv (Cornell University) · no summary yet**Paras Dahal et al.*2026*
315. **[Tuning-Free Visual Effect Transfer Across Videos ↗](https://doi.org/10.1007/978-3-032-37167-6_37) Lecture notes in computer science · no summary yet**Maxwell Jones et al.*2026*
316. **[Multi-Agent Computer Use ↗](https://arxiv.org/abs/2606.01533) arXiv (Cornell University) · no summary yet**Jing Yu Koh, Ruslan Salakhutdinov, Daniel Fried*2026*
317. **[From Reasoning Traces to Reusable Modules: Understanding Compositional Generalization in Language Model Reasoning ↗](https://arxiv.org/abs/2606.18089) arXiv (Cornell University) · no summary yet**Lingjing Kong et al.*2026*
318. **[Act2See: Emergent Active Visual Perception for Video Reasoning ↗](https://arxiv.org/abs/2605.01657) arXiv (Cornell University) · no summary yet**Martin Q. Ma et al.*2026*
319. **[Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models ↗](https://arxiv.org/abs/2605.01662) arXiv (Cornell University) · no summary yet**Martin Q. Ma et al.*2026*
320. **[FACTR 2: Learning External Force Sensing for Commodity Robot Arms Improves Policy Learning ↗](https://arxiv.org/abs/2606.12406) arXiv (Cornell University) · no summary yet**Steven Oh et al.*2026*
321. **[GitSwarm: Decentralized Compounding Inference ↗](https://arxiv.org/abs/2610.04862) arXiv (Cornell University) · no summary yet**Vedant Shah et al.*2026*
322. **[Harness Learning Enables Generalizable Test-Time Adaptation ↗](https://arxiv.org/abs/2609.35738) arXiv (Cornell University) · no summary yet**Alvin Zhang et al.*2026*
323. **[Response to Promises and Pitfalls of Deep Kernel Learning ↗](https://arxiv.org/abs/2509.21228) arXiv (Cornell University) · no summary yet**Andrew Gordon Wilson et al.*2025*
324. **[Accelerating Diffusion Planners in Offline RL via Reward-Aware Consistency Trajectory Distillation ↗](https://arxiv.org/abs/2506.07822) arXiv (Cornell University) · no summary yet**Duan, Xintong et al.*2025*
325. **[Blind Inverse Problem Solving Made Easy by Text-to-Image Latent Diffusion ↗](https://arxiv.org/abs/2412.00557) arXiv (Cornell University) · no summary yet**Michail Dontas et al.*2024*
326. **[Understanding Visual Concepts Across Models ↗](https://arxiv.org/abs/2406.07506) arXiv (Cornell University) · no summary yet**Brandon Trabucco et al.*2024*
327. **[Contrastive Example-Based Control ↗](https://arxiv.org/abs/2307.13101) arXiv (Cornell University) · no summary yet**Kyle Hatch et al.*2023*
328. **[Combining Programmable Potentials and Neural Networks for Materials Problems. ↗](https://openalex.org/W3210170829) National Conference on Artificial Intelligence · no summary yet**Ryan Mohr et al.*2021*
329. **[From Differentiable Reasoning to Self-supervised Embodied Active Learning ↗](https://doi.org/10.11159/mvml21.005) Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science · no summary yet**Ruslan Salakhutdinov*2021*
330. **[Uncertainty Weighted Offline Reinforcement Learning ↗](https://openalex.org/W3126272941) no summary yet**Yue Wu et al.*2021*
331. **[視覚ナビゲーションのためのニューラルトポロジーSLAM【JST・京大機械翻訳】 ↗](https://openalex.org/W3192601002) IEEE Conference Proceedings · no summary yet**Singh Chaplot Devendra et al.*2020*
332. **[Planning with Submodular Objective Functions ↗](https://arxiv.org/abs/2010.11863) arXiv (Cornell University) · no summary yet**Ruosong Wang et al.*2020*
333. **[Close Category Generalization. ↗](https://arxiv.org/abs/2011.08485) arXiv (Cornell University) · no summary yet**Yao-Yuan Yang et al.*2020*
334. **[Cross-Task Knowledge Transfer for Visually-Grounded Navigation ↗](https://openalex.org/W2908149803) no summary yet**Devendra Singh Chaplot et al.*2018*
335. **[Multi-task neural networks for QSAR predictions; 2014; http://arxiv.org/abs/1406.1231; arXiv:1406.1231 stat.ML ↗](https://openalex.org/W7100527452) no summary yet**George E. Dahl, Navdeep Jaitly, Ruslan Salakhutdinov*2016*
336. **[Deep Learning & Feature Learning Methods for Vision ↗](https://openalex.org/W7101056123) no summary yet**Rob Fergus (nyu et al.*2016*
337. **[Journal of Machine Learning Research 15 (2014) 1- Submitted 6/13; Revised 3/14; Published 9/14 Multimodal Learning with Deep Boltzmann Machines ↗](https://openalex.org/W7096684434) no summary yet**Nitish Srivastava, Ruslan Salakhutdinov, Aapo Hyvärinen*2015*
338. **[A New Learning Algorithm for Stochastic Feedforward Neural Nets ↗](https://openalex.org/W7100908748) no summary yet**Yichuan Tang, Ruslan Salakhutdinov*2015*
339. **[Accurate and Conservative Estimates of MRF Log-likelihood using Reverse Annealing. arXiv:1412.8566 ↗](https://openalex.org/W7100459168) no summary yet**Yuri Burda, Roger Grosse, Ruslan Salakhutdinov*2014*
340. **[Reviewed by: Xi-Nian Zuo, Chinese Academy of ↗](https://openalex.org/W7099650096) no summary yet**Sergey M. Plis et al.*2014*
341. **[Deep Learning & Feature Learning Methods for Vision CVPR 2012 Tutorial: 9am-5:30pm ↗](https://openalex.org/W7100355423) no summary yet**Rob Fergus (nyu et al.*2013*
342. **[Workshop on Unsupervised and Transfer Learning One-Shot Learning with a Hierarchical Nonparametric Bayesian Model ↗](https://openalex.org/W7099767893) no summary yet**Ruslan Salakhutdinov et al.*2013*
343. **[Learning Generative Models with Visual Attention. ArXiv e-prints ↗](https://openalex.org/W7098414280) no summary yet**Yichuan Tang, Nitish Srivastava, Ruslan Salakhutdinov*2013*
344. **[Matrix reconstruction with the local max norm. ArXiv Report arXiv:1210.5196 ↗](https://openalex.org/W7100710927) no summary yet**Rina Foygel, Nathan Srebro, Ruslan Salakhutdinov*2012*
345. **[Domain Adaptation: A Small Sample Statistical Approach ↗](https://openalex.org/W2185249064) International Conference on Artificial Intelligence and Statistics · no summary yet**Ruslan Salakhutdinov, Sham M. Kakade, Dean P. Foster*2012*
346. **[Learning and Evaluaing Deep Bolztmann Machines ↗](https://openalex.org/W7100594301) no summary yet**Ruslan Salakhutdinov, Geoffrey E. Hinton*2012*
347. **[massachusetts institute of technology, cambridge, ma 02,139 usa — www.csail.mit.eduOne-Shot Learning with a Hierarchical Nonparametric Bayesian Model ↗](https://openalex.org/W7100420980) no summary yet**Ruslan Salakhutdinov et al.*2010*
348. **[This PDF file includes: Materials and Methods ↗](https://openalex.org/W7098040679) no summary yet**Geoffrey E. Hinton et al.*2009*
349. **[Bayesian probabilistic matrix factorization using MCMC ↗](https://openalex.org/W7095168924) no summary yet**Ruslan Salakhutdinov, Andriy Mnih*2008*
350. **[DRAFT. A revised version will appear in NIPS 2007. Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes ↗](https://openalex.org/W7100182073) no summary yet**Ruslan Salakhutdinov, Geoffrey E. Hinton*2008*
351. **[DRAFT. A revised version will appear in NIPS 2007. Probabilistic Matrix Factorization ↗](https://openalex.org/W7100909658) no summary yet**Ruslan Salakhutdinov, Andriy Mnihdepartment*2008*
352. **[Simultaneous Localization and Surveying with Multiple Agents ↗](https://openalex.org/W7101229163) no summary yet**Ruslan Salakhutdinov, Sam T. Roweis*2008*
353. **[Relationship between gradient and EM steps in latent variable models. http://www.cs.toronto.edu/rsalakhu/ecg ↗](https://openalex.org/W7096339246) no summary yet**Ruslan Salakhutdinov, Sam T. Roweis, Zoubin Ghahramani*2003*
354. **[Relationship between gradient and EM steps in latent variable models ↗](https://openalex.org/W7100378828) no summary yet**Ruslan Salakhutdinov, Sam T. Roweis, Zoubin Ghahramani*2003*

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