Ron O. Dror - RankMe

50 papers A* 8A 11B 1C 3Misc 1Journal 20Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Protein Structural Model Selection Informed by Comparison of Predicted Ligand Binding Poses. J. Chem. Inf. Model. Masha Karelina, Ron O. Dror
2025	J	`jnl`	Unlocking hidden biomolecular conformational landscapes in diffusion models at inference time. CoRR Daniel D. Richman, Jessica Karaguesian, Carl-Mikael Suomivuori, Ron O. Dror
2023	J	`jnl`	Enhancing Ligand Pose Sampling for Molecular Docking. CoRR Patricia Suriana, Ron O. Dror
2023	J	`jnl`	FlexVDW: A machine learning approach to account for protein flexibility in ligand docking. CoRR Patricia Suriana, Joseph M. Paggi, Ron O. Dror
2023	A*	`conf`	Geometric Latent Diffusion Models for 3D Molecule Generation. ICML Minkai Xu, Alexander S. Powers, Ron O. Dror, Stefano Ermon, Jure Leskovec
2023	J	`jnl`	Geometric Latent Diffusion Models for 3D Molecule Generation. CoRR Minkai Xu, Alexander S. Powers, Ron O. Dror, Stefano Ermon, Jure Leskovec
2023	J	`jnl`	Harnessing Simulation for Molecular Embeddings. CoRR Christopher Fifty, Joseph M. Paggi, Ehsan Amid, Jure Leskovec, Ron O. Dror
2021	—	`conf`	ATOM3D: Tasks on Molecules in Three Dimensions. NeurIPS Datasets and Benchmarks Raphael J. L. Townshend, Martin Vögele, Patricia Suriana, Alexander Derry, Alexander S. Powers, Yianni Laloudakis, Sidhika Balachandar, Bowen Jing, Brandon M. Anderson, Stephan Eismann, Risi Kondor, Russ B. Altman, Ron O. Dror
2021	A	`conf`	Anton 3: twenty microseconds of molecular dynamics simulation before lunch. SC David E. Shaw, Peter J. Adams, Asaph Azaria, Joseph A. Bank, Brannon Batson, Alistair Bell, Michael Bergdorf, Jhanvi Bhatt, J. Adam Butts, Timothy Correia, Robert M. Dirks, Ron O. Dror, Michael P. Eastwood, Bruce Edwards, Amos Even, Peter Feldmann, Michael Fenn, Christopher H. Fenton, Anthony Forte, Joseph Gagliardo, Gennette Gill, Maria Gorlatova, Brian Greskamp, J. P. Grossman, Justin Gullingsrud, Anissa Harper, William Hasenplaugh, Mark Heily, Benjamin Colin Heshmat, Jeremy Hunt, Douglas J. Ierardi, Lev Iserovich, Bryan L. Jackson, Nick P. Johnson, Mollie M. Kirk, John L. Klepeis, Jeffrey S. Kuskin, Kenneth M. Mackenzie, Roy J. Mader, Richard McGowen, Adam McLaughlin, Mark A. Moraes, Mohamed H. Nasr, Lawrence J. Nociolo, Lief O'Donnell, Andrew Parker, Jon L. Peticolas, Goran Pocina, Cristian Predescu, Terry Quan, John K. Salmon, Carl Schwink, Keun Sup Shim, Naseer Siddique, Jochen Spengler, Tamas Szalay, Raymond Tabladillo, Reinhard Tartler, Andrew G. Taube, Michael Theobald, Brian Towles, William Vick, Stanley C. Wang, Michael Wazlowski, Madeleine J. Weingarten, John M. Williams, Kevin A. Yuh
2021	J	`jnl`	Delineating the Ligand-Receptor Interactions That Lead to Biased Signaling at the μ-Opioid Receptor. J. Chem. Inf. Model. Brendan Kelly, Scott A. Hollingsworth, David C. Blakemore, Robert M. Owen, R. Ian Storer, Nigel A. Swain, Deniz Aydin, Rubben Torella, Joseph S. Warmus, Ron O. Dror
2021	J	`jnl`	Equivariant Graph Neural Networks for 3D Macromolecular Structure. CoRR Bowen Jing, Stephan Eismann, Pratham N. Soni, Ron O. Dror
2021	A*	`conf`	Learning from Protein Structure with Geometric Vector Perceptrons. ICLR Bowen Jing, Stephan Eismann, Patricia Suriana, Raphael John Lamarre Townshend, Ron O. Dror
2020	J	`jnl`	ATOM3D: Tasks On Molecules in Three Dimensions. CoRR Raphael J. L. Townshend, Martin Vögele, Patricia Suriana, Alexander Derry, Alexander S. Powers, Yianni Laloudakis, Sidhika Balachandar, Brandon M. Anderson, Stephan Eismann, Risi Kondor, Russ B. Altman, Ron O. Dror
2020	J	`jnl`	Geometric Prediction: Moving Beyond Scalars. CoRR Raphael J. L. Townshend, Brent Townshend, Stephan Eismann, Ron O. Dror
2020	J	`jnl`	Hierarchical, rotation-equivariant neural networks to predict the structure of protein complexes. CoRR Stephan Eismann, Raphael J. L. Townshend, Nathaniel Thomas, Milind Jagota, Bowen Jing, Ron O. Dror
2020	J	`jnl`	Learning from Protein Structure with Geometric Vector Perceptrons. CoRR Bowen Jing, Stephan Eismann, Patricia Suriana, Raphael J. L. Townshend, Ron O. Dror
2020	J	`jnl`	Protein model quality assessment using rotation-equivariant, hierarchical neural networks. CoRR Stephan Eismann, Patricia Suriana, Bowen Jing, Raphael J. L. Townshend, Ron O. Dror
2019	A*	`conf`	End-to-End Learning on 3D Protein Structure for Interface Prediction. NeurIPS Raphael J. L. Townshend, Rishi Bedi, Patricia Suriana, Ron O. Dror
2018	J	`jnl`	Generalizable Protein Interface Prediction with End-to-End Learning. CoRR Raphael J. L. Townshend, Rishi Bedi, Ron O. Dror
2016	J	`jnl`	Revealing Atomic-Level Mechanisms of Protein Allostery with Molecular Dynamics Simulations. PLoS Comput. Biol. Samuel Hertig, Naomi R. Latorraca, Ron O. Dror
2014	A	`conf`	Anton 2: Raising the Bar for Performance and Programmability in a Special-Purpose Molecular Dynamics Supercomputer. SC David E. Shaw, J. P. Grossman, Joseph A. Bank, Brannon Batson, J. Adam Butts, Jack C. Chao, Martin M. Deneroff, Ron O. Dror, Amos Even, Christopher H. Fenton, Anthony Forte, Joseph Gagliardo, Gennette Gill, Brian Greskamp, C. Richard Ho, Douglas J. Ierardi, Lev Iserovich, Jeffrey Kuskin, Richard H. Larson, Timothy Layman, Li-Siang Lee, Adam K. Lerer, Chester Li, Daniel Killebrew, Kenneth M. Mackenzie, Shark Yeuk-Hai Mok, Mark A. Moraes, Rolf Mueller, Lawrence J. Nociolo, Jon L. Peticolas, Terry Quan, Daniel Ramot, John K. Salmon, Daniele Paolo Scarpazza, U. Ben Schafer, Naseer Siddique, Christopher W. Snyder, Jochen Spengler, Ping Tak Peter Tang, Michael Theobald, Horia Toma, Brian Towles, Benjamin Vitale, Stanley C. Wang, Cliff Young
2013	A	`conf`	Extending the Generality of Molecular Dynamics Simulations on a Special-Purpose Machine. IPDPS Daniele Paolo Scarpazza, Douglas J. Ierardi, Adam K. Lerer, Kenneth M. Mackenzie, Albert C. Pan, Joseph A. Bank, Edmond Chow, Ron O. Dror, J. P. Grossman, Daniel Killebrew, Mark A. Moraes, Cristian Predescu, John K. Salmon, David E. Shaw
2013	A*	`conf`	Hardware support for fine-grained event-driven computation in Anton 2. ASPLOS J. P. Grossman, Jeffrey Kuskin, Joseph A. Bank, Michael Theobald, Ron O. Dror, Douglas J. Ierardi, Richard H. Larson, U. Ben Schafer, Brian Towles, Cliff Young, David E. Shaw
2011	—	`ch.`	Anton, A Special-Purpose Molecular Simulation Machine. Encyclopedia of Parallel Computing Ron O. Dror, Cliff Young, David E. Shaw
2011	J	`jnl`	Overcoming Communication Latency Barriers in Massively Parallel Scientific Computation. IEEE Micro Ron O. Dror, J. P. Grossman, Kenneth M. Mackenzie, Brian Towles, Edmond Chow, John K. Salmon, Cliff Young, Joseph A. Bank, Brannon Batson, Martin M. Deneroff, Jeffrey Kuskin, Richard H. Larson, Mark A. Moraes, David E. Shaw
2011	A	`conf`	Parallel random numbers: as easy as 1, 2, 3. SC John K. Salmon, Mark A. Moraes, Ron O. Dror, David E. Shaw
2011	C	`conf`	Radix-8 Digit-by-Rounding: Achieving High-Performance Reciprocals, Square Roots, and Reciprocal Square Roots. IEEE Symposium on Computer Arithmetic J. Adam Butts, Ping Tak Peter Tang, Ron O. Dror, David E. Shaw
2011	C	`conf`	Tight Certification Techniques for Digit-by-Rounding Algorithms with Application to a New 1/sqrt(x) Design. IEEE Symposium on Computer Arithmetic Ping Tak Peter Tang, J. Adam Butts, Ron O. Dror, David E. Shaw
2010	A	`conf`	Accelerating Parallel Analysis of Scientific Simulation Data via Zazen. FAST Tiankai Tu, Charles A. Rendleman, Patrick J. Miller, Federico D. Sacerdoti, Ron O. Dror, David E. Shaw
2010	A	`conf`	Exploiting 162-Nanosecond End-to-End Communication Latency on Anton. SC Ron O. Dror, J. P. Grossman, Kenneth M. Mackenzie, Brian Towles, Edmond Chow, John K. Salmon, Cliff Young, Joseph A. Bank, Brannon Batson, Martin M. Deneroff, Jeffrey Kuskin, Richard H. Larson, Mark A. Moraes, David E. Shaw
2010	J	`jnl`	Improved twiddle access for fast fourier transforms. IEEE Trans. Signal Process. Kevin J. Bowers, Ross A. Lippert, Ron O. Dror, David E. Shaw
2009	A	`conf`	A 32x32x32, spatially distributed 3D FFT in four microseconds on Anton. SC Cliff Young, Joseph A. Bank, Ron O. Dror, J. P. Grossman, John K. Salmon, David E. Shaw
2009	A	`conf`	Millisecond-scale molecular dynamics simulations on Anton. SC David E. Shaw, Ron O. Dror, John K. Salmon, J. P. Grossman, Kenneth M. Mackenzie, Joseph A. Bank, Cliff Young, Martin M. Deneroff, Brannon Batson, Kevin J. Bowers, Edmond Chow, Michael P. Eastwood, Doug Ierardi, John L. Klepeis, Jeffrey Kuskin, Richard H. Larson, Kresten Lindorff-Larsen, Paul Maragakis, Mark A. Moraes, Stefano Piana, Yibing Shan, Brian Towles
2009	A	`conf`	Millisecond-scale molecular dynamics simulations on Anton. SC David E. Shaw, Ron O. Dror, John K. Salmon, J. P. Grossman, Kenneth M. Mackenzie, Joseph A. Bank, Cliff Young, Martin M. Deneroff, Brannon Batson, Kevin J. Bowers, Edmond Chow, Michael P. Eastwood, Doug Ierardi, John L. Klepeis, Jeffrey Kuskin, Richard H. Larson, Kresten Lindorff-Larsen, Paul Maragakis, Mark A. Moraes, Stefano Piana, Yibing Shan, Brian Towles
2008	A	`conf`	A scalable parallel framework for analyzing terascale molecular dynamics simulation trajectories. SC Tiankai Tu, Charles A. Rendleman, David W. Borhani, Ron O. Dror, Justin Gullingsrud, Morten Ø. Jensen, John L. Klepeis, Paul Maragakis, Patrick J. Miller, Kate A. Stafford, David E. Shaw
2008	J	`jnl`	Anton, a special-purpose machine for molecular dynamics simulation. Commun. ACM David E. Shaw, Martin M. Deneroff, Ron O. Dror, Jeffrey Kuskin, Richard H. Larson, John K. Salmon, Cliff Young, Brannon Batson, Kevin J. Bowers, Jack C. Chao, Michael P. Eastwood, Joseph Gagliardo, J. P. Grossman, C. Richard Ho, Doug Ierardi, István Kolossváry, John L. Klepeis, Timothy Layman, Christine McLeavey, Mark A. Moraes, Rolf Mueller, Edward C. Priest, Yibing Shan, Jochen Spengler, Michael Theobald, Brian Towles, Stanley C. Wang
2008	A*	`conf`	Early formal verification of conditional coverage points to identify intrinsically hard-to-verify logic. DAC C. Richard Ho, Michael Theobald, Martin M. Deneroff, Ron O. Dror, Joseph Gagliardo, David E. Shaw
2008	C	`conf`	Hierarchical simulation-based verification of Anton, a special-purpose parallel machine. ICCD J. P. Grossman, John K. Salmon, C. Richard Ho, Doug Ierardi, Brian Towles, Brannon Batson, Jochen Spengler, Stanley C. Wang, Rolf Mueller, Michael Theobald, Cliff Young, Joseph Gagliardo, Martin M. Deneroff, Ron O. Dror, David E. Shaw
2008	A*	`conf`	High-throughput pairwise point interactions in Anton, a specialized machine for molecular dynamics simulation. HPCA Richard H. Larson, John K. Salmon, Ron O. Dror, Martin M. Deneroff, Cliff Young, J. P. Grossman, Yibing Shan, John L. Klepeis, David E. Shaw
2008	A*	`conf`	Incorporating flexibility in Anton, a specialized machine for molecular dynamics simulation. HPCA Jeffrey Kuskin, Cliff Young, J. P. Grossman, Brannon Batson, Martin M. Deneroff, Ron O. Dror, David E. Shaw
2008	Misc	`conf`	Simulation and embedded software development for Anton, a parallel machine with heterogeneous multicore ASICs. CODES+ISSS J. P. Grossman, Cliff Young, Joseph A. Bank, Kenneth M. Mackenzie, Doug Ierardi, John K. Salmon, Ron O. Dror, David E. Shaw
2007	A*	`conf`	Anton, a special-purpose machine for molecular dynamics simulation. ISCA David E. Shaw, Martin M. Deneroff, Ron O. Dror, Jeffrey Kuskin, Richard H. Larson, John K. Salmon, Cliff Young, Brannon Batson, Kevin J. Bowers, Jack C. Chao, Michael P. Eastwood, Joseph Gagliardo, J. P. Grossman, C. Richard Ho, Doug Ierardi, István Kolossváry, John L. Klepeis, Timothy Layman, Christine McLeavey, Mark A. Moraes, Rolf Mueller, Edward C. Priest, Yibing Shan, Jochen Spengler, Michael Theobald, Brian Towles, Stanley C. Wang
2007	J	`jnl`	Zonal methods for the parallel execution of range-limited N-body simulations. J. Comput. Phys. Kevin J. Bowers, Ron O. Dror, David E. Shaw
2006	A	`conf`	Molecular dynamics - Scalable algorithms for molecular dynamics simulations on commodity clusters. SC Kevin J. Bowers, Edmond Chow, Huafeng Xu, Ron O. Dror, Michael P. Eastwood, Brent A. Gregersen, John L. Klepeis, István Kolossváry, Mark A. Moraes, Federico D. Sacerdoti, John K. Salmon, Yibing Shan, David E. Shaw
2003	J	`jnl`	Bayesian Estimation of Transcript Levels Using a General Model of Array Measurement Noise. J. Comput. Biol. Ron O. Dror, Jonathan G. Murnick, Nicola J. Rinaldi, Voichita D. Marinescu, Ryan M. Rifkin, Richard A. Young
2002	B	`conf`	A bayesian approach to transcript estimation from gene array data: the BEAM technique. RECOMB Ron O. Dror, Jonathan G. Murnick, Nicola A. Rinaldi, Voichita D. Marinescu, Ryan M. Rifkin, Richard A. Young
2002	—	`—`	Surface reflectance recognition and real-world illumination statistics. Ron O. Dror
2001	—	`conf`	Estimating surface reflectance properties from images under unknown illumination. Human Vision and Electronic Imaging Ron O. Dror, Edward H. Adelson, Alan S. Willsky
2001	—	`conf`	Statistics of Real-World Illumination. CVPR (2) Ron O. Dror, Thomas K. Leung, Edward H. Adelson, Alan S. Willsky
2000	—	`conf`	The Role of Natural Image Statistics in Biological Motion Estimation. Biologically Motivated Computer Vision Ron O. Dror, David C. O'Carroll, Simon B. Laughlin