default search action
Bharath Ramsundar
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [c5]Danika Gupta, Bharath Ramsundar:
Poster: Ensemble Methods for ADR Prediction. CHASE 2024: 210-211 - [i23]Shai Pranesh, Shang Zhu, Venkat Viswanathan, Bharath Ramsundar:
Open-Source Fermionic Neural Networks with Ionic Charge Initialization. CoRR abs/2401.10287 (2024) - [i22]Varun Madhavan, Amal S. Sebastian, Bharath Ramsundar, Venkatasubramanian Viswanathan:
Self-supervised Pretraining for Partial Differential Equations. CoRR abs/2407.06209 (2024) - [i21]V. Shreyas, Jose Siguenza, Karan Bania, Bharath Ramsundar:
Open-Source Molecular Processing Pipeline for Generating Molecules. CoRR abs/2408.06261 (2024) - [i20]Aaron Rock Menezes, Bharath Ramsundar:
Open Source Infrastructure for Automatic Cell Segmentation. CoRR abs/2409.08163 (2024) - 2023
- [j6]Hanchen Wang
, Tianfan Fu, Yuanqi Du, Wenhao Gao
Scientific discovery in the age of artificial intelligence. Nat. 620(7972): 47-60 (2023) - [i19]Advika Vidhyadhiraja, Arun Pa Thiagarajan, Shang Zhu, Venkat Viswanathan, Bharath Ramsundar:
Open Source Infrastructure for Differentiable Density Functional Theory. CoRR abs/2309.15985 (2023) - [i18]Shang Zhu, Bharath Ramsundar, Emil Annevelink, Hongyi Lin, Adarsh Dave, Pin-Wen Guan, Kevin Gering, Venkatasubramanian Viswanathan:
Differentiable Chemical Physics by Geometric Deep Learning for Gradient-based Property Optimization of Mixtures. CoRR abs/2310.03047 (2023) - 2022
- [i17]Nathan C. Frey, Vijay Gadepally, Bharath Ramsundar:
FastFlows: Flow-Based Models for Molecular Graph Generation. CoRR abs/2201.12419 (2022) - [i16]Dwaraknath Gnaneshwar, Bharath Ramsundar, Dhairya Gandhi, Rachel C. Kurchin, Venkatasubramanian Viswanathan:
Score-Based Generative Models for Molecule Generation. CoRR abs/2203.04698 (2022) - [i15]Walid Ahmad, Elana Simon, Seyone Chithrananda, Gabriel Grand, Bharath Ramsundar:
ChemBERTa-2: Towards Chemical Foundation Models. CoRR abs/2209.01712 (2022) - 2021
- [i14]Bharath Ramsundar, Dilip Krishnamurthy, Venkatasubramanian Viswanathan:
Differentiable Physics: A Position Piece. CoRR abs/2109.07573 (2021) - [i13]Nathan C. Frey, Siddharth Samsi, Bharath Ramsundar, Connor W. Coley, Vijay Gadepally:
Bringing Atomistic Deep Learning to Prime Time. CoRR abs/2112.04977 (2021) - 2020
- [j5]Amanda J. Minnich
AMPL: A Data-Driven Modeling Pipeline for Drug Discovery. J. Chem. Inf. Model. 60(4): 1955-1968 (2020) - [i12]Seyone Chithrananda, Gabriel Grand
ChemBERTa: Large-Scale Self-Supervised Pretraining for Molecular Property Prediction. CoRR abs/2010.09885 (2020)
2010 – 2019
- 2019
- [j4]Nisha Talagala, Bharath Ramsundar, Swaminathan Sundararaman:
From Data Science to Production ML: Introducing USENIX OpML. login Usenix Mag. 44(1) (2019) - [e1]Bharath Ramsundar, Nisha Talagala:
2019 USENIX Conference on Operational Machine Learning, OpML 2019, Santa Clara, CA, USA, May 20, 2019. USENIX Association 2019 [contents] - [i11]Fattaneh Bayatbabolghani, Bharath Ramsundar:
Secure Computation in Decentralized Data Markets. CoRR abs/1907.01489 (2019) - [i10]Amanda J. Minnich, Kevin McLoughlin, Margaret Tse, Jason Deng, Andrew Weber, Neha Murad, Benjamin D. Madej, Bharath Ramsundar, Tom Rush, Stacie Calad-Thomson, Jim Brase, Jonathan E. Allen:
AMPL: A Data-Driven Modeling Pipeline for Drug Discovery. CoRR abs/1911.05211 (2019) - 2018
- [b1]Bharath Ramsundar:
Molecular machine learning with DeepChem. Stanford University, USA, 2018 - [j3]Peter K. Eastman
Solving the RNA design problem with reinforcement learning. PLoS Comput. Biol. 14(6) (2018) - [i9]Evan N. Feinberg, Debnil Sur, Brooke E. Husic, Doris Mai, Yang Li, Jianyi Yang, Bharath Ramsundar, Vijay S. Pande:
Spatial Graph Convolutions for Drug Discovery. CoRR abs/1803.04465 (2018) - [i8]Bharath Ramsundar, Roger Chen, Alok Vasudev, Rob Robbins, Artur Gorokh:
Tokenized Data Markets. CoRR abs/1806.00139 (2018) - 2017
- [j2]Bharath Ramsundar
Is Multitask Deep Learning Practical for Pharma? J. Chem. Inf. Model. 57(8): 2068-2076 (2017) - [i7]Zhenqin Wu, Bharath Ramsundar, Evan N. Feinberg, Joseph Gomes, Caleb Geniesse, Aneesh S. Pappu, Karl Leswing, Vijay S. Pande:
MoleculeNet: A Benchmark for Molecular Machine Learning. CoRR abs/1703.00564 (2017) - [i6]Joseph Gomes, Bharath Ramsundar, Evan N. Feinberg, Vijay S. Pande:
Atomic Convolutional Networks for Predicting Protein-Ligand Binding Affinity. CoRR abs/1703.10603 (2017) - [i5]Bowen Liu, Bharath Ramsundar, Prasad Kawthekar, Jade Shi, Joseph Gomes, Quang Luu Nguyen, Stephen Ho, Jack Sloane, Paul Wender, Vijay S. Pande:
Retrosynthetic reaction prediction using neural sequence-to-sequence models. CoRR abs/1706.01643 (2017) - 2016
- [j1]Govindan Subramanian
Computational Modeling of β-Secretase 1 (BACE-1) Inhibitors Using Ligand Based Approaches. J. Chem. Inf. Model. 56(10): 1936-1949 (2016) - [i4]Bharath Ramsundar, Vijay S. Pande:
Learning Protein Dynamics with Metastable Switching Systems. CoRR abs/1610.01642 (2016) - [i3]Han Altae-Tran, Bharath Ramsundar, Aneesh S. Pappu, Vijay S. Pande:
Low Data Drug Discovery with One-shot Learning. CoRR abs/1611.03199 (2016) - 2015
- [i2]Bharath Ramsundar, Steven Kearnes, Patrick Riley, Dale Webster, David E. Konerding, Vijay S. Pande:
Massively Multitask Networks for Drug Discovery. CoRR abs/1502.02072 (2015) - 2014
- [c4]Leonardo Mármol, Swaminathan Sundararaman, Nisha Talagala, Raju Rangaswami, Sushma Devendrappa, Bharath Ramsundar, Sriram Ganesan:
NVMKV: A Scalable and Lightweight Flash Aware Key-Value Store. HotStorage 2014 - [c3]Robert McGibbon, Bharath Ramsundar, Mohammad Sultan, Gert Kiss, Vijay S. Pande:
Understanding Protein Dynamics with L1-Regularized Reversible Hidden Markov Models. ICML 2014: 1197-1205 - 2013
- [c2]Lei Li, Bharath Ramsundar, Stuart Russell:
Dynamic Scaled Sampling for Deterministic Constraints. AISTATS 2013: 397-405 - [c1]Yusuf Erol, Lei Li, Bharath Ramsundar, Stuart Russell:
The Extended Parameter Filter. ICML (3) 2013: 1103-1111 - [i1]Yusuf Erol, Lei Li, Bharath Ramsundar, Stuart Russell:
The Extended Parameter Filter. CoRR abs/1305.1704 (2013)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-14 23:31 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: