Pushmeet Kohli

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 182

Top Venues

Oxford Brookes University, UK (PHD)

Education History

Oxford Brookes University, UK

PHD

Publications

Bernardino Romera-Paredes, Mohammadamin Barekatain, Alexander Novikov, Matej Balog, M. Pawan Kumar, Emilien Dupont, Francisco J. R. Ruiz, Jordan S. Ellenberg, Pengming Wang, Omar Fawzi, Pushmeet Kohli, Alhussein Fawzi
Mathematical discoveries from program search with large language models. Nat. 625 (7995) (2024)
Francisco J. R. Ruiz, Tuomas Laakkonen, Johannes Bausch, Matej Balog, Mohammadamin Barekatain, Francisco J. H. Heras, Alexander Novikov, Nathan Fitzpatrick, Bernardino Romera-Paredes, John van de Wetering, Alhussein Fawzi, Konstantinos Meichanetzidis, Pushmeet Kohli
Quantum Circuit Optimization with AlphaTensor. CoRR (2024)
Leonard Berrada, Soham De, Judy Hanwen Shen, Jamie Hayes, Robert Stanforth, David Stutz, Pushmeet Kohli, Samuel L. Smith, Borja Balle
Unlocking Accuracy and Fairness in Differentially Private Image Classification. CoRR (2023)
Daniel J. Mankowitz, Andrea Michi, Anton Zhernov, Marco Gelmi, Marco Selvi, Cosmin Paduraru, Edouard Leurent, Shariq Iqbal, Jean-Baptiste Lespiau, Alex Ahern, Thomas Köppe, Kevin Millikin, Stephen Gaffney, Sophie Elster, Jackson Broshear, Chris Gamble, Kieran Milan, Robert Tung, Minjae Hwang, Taylan Cemgil, Mohammadamin Barekatain, Yujia Li, Amol Mandhane, Thomas Hubert, Julian Schrittwieser, Demis Hassabis, Pushmeet Kohli, Martin A. Riedmiller, Oriol Vinyals, David Silver
Faster sorting algorithms discovered using deep reinforcement learning. Nat. 618 (7964) (2023)
Ira Ktena, Olivia Wiles, Isabela Albuquerque, Sylvestre-Alvise Rebuffi, Ryutaro Tanno, Abhijit Guha Roy, Shekoofeh Azizi, Danielle Belgrave, Pushmeet Kohli, Alan Karthikesalingam, A. Taylan Cemgil, Sven Gowal
Generative models improve fairness of medical classifiers under distribution shifts. CoRR (2023)
Ryutaro Tanno, David G. T. Barrett, Andrew Sellergren, Sumedh Ghaisas, Sumanth Dathathri, Abigail See, Johannes Welbl, Karan Singhal, Shekoofeh Azizi, Tao Tu, Mike Schaekermann, Rhys May, Roy Lee, SiWai Man, Zahra Ahmed, S. Sara Mahdavi, Danielle Belgrave, Vivek Natarajan, Shravya Shetty, Pushmeet Kohli, Po-Sen Huang, Alan Karthikesalingam, Ira Ktena
Consensus, dissensus and synergy between clinicians and specialist foundation models in radiology report generation. CoRR (2023)
Hanchen Wang, Tianfan Fu, Yuanqi Du, Wenhao Gao, Kexin Huang, Ziming Liu, Payal Chandak, Shengchao Liu, Peter Van Katwyk, Andreea Deac, Anima Anandkumar, Karianne Bergen, Carla P. Gomes, Shirley Ho, Pushmeet Kohli, Joan Lasenby, Jure Leskovec, Tie-Yan Liu, Arjun Manrai, Debora S. Marks, Bharath Ramsundar, Le Song, Jimeng Sun, Jian Tang, Petar Velickovic, Max Welling, Linfeng Zhang, Connor W. Coley, Yoshua Bengio, Marinka Zitnik
Scientific discovery in the age of artificial intelligence. Nat. 620 (7972) (2023)
David Stutz, Ali Taylan Cemgil, Abhijit Guha Roy, Tatiana Matejovicova, Melih Barsbey, Patricia Strachan, Mike Schaekermann, Jan Freyberg, Rajeev Rikhye, Beverly Freeman, Javier Perez Matos, Umesh Telang, Dale R. Webster, Yuan Liu, Gregory S. Corrado, Yossi Matias, Pushmeet Kohli, Yun Liu, Arnaud Doucet, Alan Karthikesalingam
Evaluating AI systems under uncertain ground truth: a case study in dermatology. CoRR (2023)
Johannes Bausch, Andrew W. Senior, Francisco J. H. Heras, Thomas Edlich, Alex Davies, Michael Newman, Cody Jones, Kevin J. Satzinger, Murphy Yuezhen Niu, Sam Blackwell, George Holland, Dvir Kafri, Juan Atalaya, Craig Gidney, Demis Hassabis, Sergio Boixo, Hartmut Neven, Pushmeet Kohli
Learning to Decode the Surface Code with a Recurrent, Transformer-Based Neural Network. CoRR (2023)
Mihaly Varadi, Stephen Anyango, Mandar S. Deshpande, Sreenath Nair, Cindy Natassia, Galabina Yordanova, David Yuan, Oana Stroe, Gemma Wood, Agata Laydon, Augustin Zídek, Tim Green, Kathryn Tunyasuvunakool, Stig Petersen, John Jumper, Ellen Clancy, Richard Green, Ankur Vora, Mira Lutfi, Michael Figurnov, Andrew Cowie, Nicole Hobbs, Pushmeet Kohli, Gerard J. Kleywegt, Ewan Birney, Demis Hassabis, Sameer Velankar
AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models. Nucleic Acids Res. 50 (D1) (2022)
Alhussein Fawzi, Matej Balog, Aja Huang, Thomas Hubert, Bernardino Romera-Paredes, Mohammadamin Barekatain, Alexander Novikov, Francisco J. R. Ruiz, Julian Schrittwieser, Grzegorz Swirszcz, David Silver, Demis Hassabis, Pushmeet Kohli
Discovering faster matrix multiplication algorithms with reinforcement learning. Nat. 610 (7930) (2022)
Yujia Li, David H. Choi, Junyoung Chung, Nate Kushman, Julian Schrittwieser, Rémi Leblond, Tom Eccles, James Keeling, Felix Gimeno, Agustin Dal Lago, Thomas Hubert, Peter Choy, Cyprien de Masson d'Autume, Igor Babuschkin, Xinyun Chen, Po-Sen Huang, Johannes Welbl, Sven Gowal, Alexey Cherepanov, James Molloy, Daniel J. Mankowitz, Esme Sutherland Robson, Pushmeet Kohli, Nando de Freitas, Koray Kavukcuoglu, Oriol Vinyals
Competition-Level Code Generation with AlphaCode. CoRR (2022)
Jonas Degrave, Federico Felici, Jonas Buchli, Michael Neunert, Brendan D. Tracey, Francesco Carpanese, Timo Ewalds, Roland Hafner, Abbas Abdolmaleki, Diego de Las Casas, Craig Donner, Leslie Fritz, Cristian Galperti, Andrea Huber, James Keeling, Maria Tsimpoukelli, Jackie Kay, Antoine Merle, Jean-Marc Moret, Seb Noury, Federico Pesamosca, David Pfau, Olivier Sauter, Cristian Sommariva, Stefano Coda, Basil Duval, Ambrogio Fasoli, Pushmeet Kohli, Koray Kavukcuoglu, Demis Hassabis, Martin A. Riedmiller
Magnetic control of tokamak plasmas through deep reinforcement learning. Nat. 602 (7897) (2022)
Richard Evans, Matko Bosnjak, Lars Buesing, Kevin Ellis, David Pfau, Pushmeet Kohli, Marek J. Sergot
Making Sense of Raw Input (Extended Abstract). IJCAI (2022)
Johannes Welbl, Amelia Glaese, Jonathan Uesato, Sumanth Dathathri, John Mellor, Lisa Anne Hendricks, Kirsty Anderson, Pushmeet Kohli, Ben Coppin, Po-Sen Huang
Challenges in Detoxifying Language Models. EMNLP (Findings) (2021)
Vincent D. Blondel, Kyomin Jung, Pushmeet Kohli, Devavrat Shah, Seungpil Won
Partition-Merge: Distributed Inference and Modularity Optimization. IEEE Access 9 (2021)
Richard Evans, José Hernández-Orallo, Johannes Welbl, Pushmeet Kohli, Marek J. Sergot
Making sense of sensory input. Artif. Intell. 293 (2021)
Sven Gowal, Po-Sen Huang, Aäron van den Oord, Timothy Mann, Pushmeet Kohli
Self-supervised Adversarial Robustness for the Low-label, High-data Regime. ICLR (2021)
Alessandro De Palma, Rudy Bunel, Alban Desmaison, Krishnamurthy Dvijotham, Pushmeet Kohli, Philip H. S. Torr, M. Pawan Kumar
Improved Branch and Bound for Neural Network Verification via Lagrangian Decomposition. CoRR (2021)
Richard Evans, Matko Bosnjak, Lars Buesing, Kevin Ellis, David P. Reichert, Pushmeet Kohli, Marek J. Sergot
Making sense of raw input. Artif. Intell. 299 (2021)
Alex Davies, Petar Velickovic, Lars Buesing, Sam Blackwell, Daniel Zheng, Nenad Tomasev, Richard Tanburn, Peter W. Battaglia, Charles Blundell, András Juhász, Marc Lackenby, Geordie Williamson, Demis Hassabis, Pushmeet Kohli
Advancing mathematics by guiding human intuition with AI. Nat. 600 (7887) (2021)
Johannes Welbl, Amelia Glaese, Jonathan Uesato, Sumanth Dathathri, John Mellor, Lisa Anne Hendricks, Kirsty Anderson, Pushmeet Kohli, Ben Coppin, Po-Sen Huang
Challenges in Detoxifying Language Models. CoRR (2021)
Dan Rosenbaum, Marta Garnelo, Michal Zielinski, Charlie Beattie, Ellen Clancy, Andrea Huber, Pushmeet Kohli, Andrew W. Senior, John Jumper, Carl Doersch, S. M. Ali Eslami, Olaf Ronneberger, Jonas Adler
Inferring a Continuous Distribution of Atom Coordinates from Cryo-EM Images using VAEs. CoRR (2021)
Johannes Welbl, Po-Sen Huang, Robert Stanforth, Sven Gowal, Krishnamurthy (Dj) Dvijotham, Martin Szummer, Pushmeet Kohli
Towards Verified Robustness under Text Deletion Interventions. ICLR (2020)
Sven Gowal, Chongli Qin, Po-Sen Huang, A. Taylan Cemgil, Krishnamurthy Dvijotham, Timothy A. Mann, Pushmeet Kohli
Achieving Robustness in the Wild via Adversarial Mixing With Disentangled Representations. CVPR (2020)
Rudy Bunel, Alessandro De Palma, Alban Desmaison, Krishnamurthy Dvijotham, Pushmeet Kohli, Philip H. S. Torr, M. Pawan Kumar
Lagrangian Decomposition for Neural Network Verification. UAI (2020)
Sven Gowal, Chongli Qin, Jonathan Uesato, Timothy A. Mann, Pushmeet Kohli
Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples. CoRR (2020)
Andrew W. Senior, Richard Evans, John Jumper, James Kirkpatrick, Laurent Sifre, Tim Green, Chongli Qin, Augustin Zídek, Alexander W. R. Nelson, Alex Bridgland, Hugo Penedones, Stig Petersen, Karen Simonyan, Steve Crossan, Pushmeet Kohli, David T. Jones, David Silver, Koray Kavukcuoglu, Demis Hassabis
Improved protein structure prediction using potentials from deep learning. Nat. 577 (7792) (2020)
Sumanth Dathathri, Krishnamurthy Dvijotham, Alexey Kurakin, Aditi Raghunathan, Jonathan Uesato, Rudy Bunel, Shreya Shankar, Jacob Steinhardt, Ian J. Goodfellow, Percy Liang, Pushmeet Kohli
Enabling certification of verification-agnostic networks via memory-efficient semidefinite programming. CoRR (2020)
Jim Winkens, Rudy Bunel, Abhijit Guha Roy, Robert Stanforth, Vivek Natarajan, Joseph R. Ledsam, Patricia MacWilliams, Pushmeet Kohli, Alan Karthikesalingam, Simon Kohl, A. Taylan Cemgil, S. M. Ali Eslami, Olaf Ronneberger
Contrastive Training for Improved Out-of-Distribution Detection. CoRR (2020)
A. Taylan Cemgil, Sumedh Ghaisas, Krishnamurthy Dvijotham, Sven Gowal, Pushmeet Kohli
Autoencoding Variational Autoencoder. CoRR (2020)
Daniel Zoran, Mike Chrzanowski, Po-Sen Huang, Sven Gowal, Alex Mott, Pushmeet Kohli
Towards Robust Image Classification Using Sequential Attention Models. CVPR (2020)
A. Taylan Cemgil, Sumedh Ghaisas, Krishnamurthy (Dj) Dvijotham, Pushmeet Kohli
Adversarially Robust Representations with Smooth Encoders. ICLR (2020)
Yujia Li, Felix Gimeno, Pushmeet Kohli, Oriol Vinyals
Strong Generalization and Efficiency in Neural Programs. CoRR (2020)
Tsui-Wei Weng, Krishnamurthy (Dj) Dvijotham, Jonathan Uesato, Kai Xiao, Sven Gowal, Robert Stanforth, Pushmeet Kohli
Toward Evaluating Robustness of Deep Reinforcement Learning with Continuous Control. ICLR (2020)
Chongli Qin, Yan Wu, Jost Tobias Springenberg, Andy Brock, Jeff Donahue, Timothy P. Lillicrap, Pushmeet Kohli
Training Generative Adversarial Networks by Solving Ordinary Differential Equations. NeurIPS (2020)
Aditya Paliwal, Felix Gimeno, Vinod Nair, Yujia Li, Miles Lubin, Pushmeet Kohli, Oriol Vinyals
Reinforced Genetic Algorithm Learning for Optimizing Computation Graphs. ICLR (2020)
Rudy Bunel, Jingyue Lu, Ilker Turkaslan, Philip H. S. Torr, Pushmeet Kohli, M. Pawan Kumar
Branch and Bound for Piecewise Linear Neural Network Verification. J. Mach. Learn. Res. 21 (2020)
Rudy Bunel, Alessandro De Palma, Alban Desmaison, Krishnamurthy Dvijotham, Pushmeet Kohli, Philip H. S. Torr, M. Pawan Kumar
Lagrangian Decomposition for Neural Network Verification. CoRR (2020)
Sumanth Dathathri, Krishnamurthy Dvijotham, Alexey Kurakin, Aditi Raghunathan, Jonathan Uesato, Rudy Bunel, Shreya Shankar, Jacob Steinhardt, Ian J. Goodfellow, Percy Liang, Pushmeet Kohli
Enabling certification of verification-agnostic networks via memory-efficient semidefinite programming. NeurIPS (2020)
Chongli Qin, Yan Wu, Jost Tobias Springenberg, Andrew Brock, Jeff Donahue, Timothy P. Lillicrap, Pushmeet Kohli
Training Generative Adversarial Networks by Solving Ordinary Differential Equations. CoRR (2020)
Po-Sen Huang, Huan Zhang, Ray Jiang, Robert Stanforth, Johannes Welbl, Jack Rae, Vishal Maini, Dani Yogatama, Pushmeet Kohli
Reducing Sentiment Bias in Language Models via Counterfactual Evaluation. EMNLP (Findings) (2020)
Kexin Yi, Chuang Gan, Yunzhu Li, Pushmeet Kohli, Jiajun Wu, Antonio Torralba, Joshua B. Tenenbaum
CLEVRER: Collision Events for Video Representation and Reasoning. ICLR (2020)
Jamie Hayes, Krishnamurthy Dvijotham, Yutian Chen, Sander Dieleman, Pushmeet Kohli, Norman Casagrande
Towards transformation-resilient provenance detection of digital media. CoRR (2020)
Krishnamurthy (Dj) Dvijotham, Jamie Hayes, Borja Balle, J. Zico Kolter, Chongli Qin, András György, Kai Xiao, Sven Gowal, Pushmeet Kohli
A Framework for robustness Certification of Smoothed Classifiers using F-Divergences. ICLR (2020)
Vinod Nair, Sergey Bartunov, Felix Gimeno, Ingrid von Glehn, Pawel Lichocki, Ivan Lobov, Brendan O'Donoghue, Nicolas Sonnerat, Christian Tjandraatmadja, Pengming Wang, Ravichandra Addanki, Tharindi Hapuarachchi, Thomas Keck, James Keeling, Pushmeet Kohli, Ira Ktena, Yujia Li, Oriol Vinyals, Yori Zwols
Solving Mixed Integer Programs Using Neural Networks. CoRR (2020)
Richard Evans, José Hernández-Orallo, Johannes Welbl, Pushmeet Kohli, Marek J. Sergot
Evaluating the Apperception Engine. CoRR (2020)
A. Taylan Cemgil, Sumedh Ghaisas, Krishnamurthy Dvijotham, Sven Gowal, Pushmeet Kohli
The Autoencoding Variational Autoencoder. NeurIPS (2020)
Jean-Baptiste Alayrac, Jonathan Uesato, Po-Sen Huang, Alhussein Fawzi, Robert Stanforth, Pushmeet Kohli
Are Labels Required for Improving Adversarial Robustness? NeurIPS (2019)
Nantas Nardelli, Gabriel Synnaeve, Zeming Lin, Pushmeet Kohli, Philip H. S. Torr, Nicolas Usunier
Value Propagation Networks. ICLR (Poster) (2019)
Alexandre Galashov, Jonathan Schwarz, Hyunjik Kim, Marta Garnelo, David Saxton, Pushmeet Kohli, S. M. Ali Eslami, Yee Whye Teh
Meta-Learning surrogate models for sequential decision making. CoRR (2019)
Thomas Joy, Alban Desmaison, Thalaiyasingam Ajanthan, Rudy Bunel, Mathieu Salzmann, Pushmeet Kohli, Philip H. S. Torr, M. Pawan Kumar
Efficient Relaxations for Dense CRFs with Sparse Higher-Order Potentials. SIAM J. Imaging Sci. 12 (1) (2019)
Victor Bapst, Alvaro Sanchez-Gonzalez, Carl Doersch, Kimberly L. Stachenfeld, Pushmeet Kohli, Peter W. Battaglia, Jessica B. Hamrick
Structured agents for physical construction. CoRR (2019)
Thomas Kipf, Yujia Li, Hanjun Dai, Vinícius Flores Zambaldi, Alvaro Sanchez-Gonzalez, Edward Grefenstette, Pushmeet Kohli, Peter W. Battaglia
CompILE: Compositional Imitation Learning and Execution. ICML (2019)
Richard Evans, José Hernández-Orallo, Johannes Welbl, Pushmeet Kohli, Marek J. Sergot
Making sense of sensory input. CoRR (2019)
Daniel Zoran, Mike Chrzanowski, Po-Sen Huang, Sven Gowal, Alex Mott, Pushmeet Kohli
Towards Robust Image Classification Using Sequential Attention Models. CoRR (2019)
Po-Sen Huang, Robert Stanforth, Johannes Welbl, Chris Dyer, Dani Yogatama, Sven Gowal, Krishnamurthy Dvijotham, Pushmeet Kohli
Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation. EMNLP/IJCNLP (1) (2019)
Jonathan Uesato, Jean-Baptiste Alayrac, Po-Sen Huang, Robert Stanforth, Alhussein Fawzi, Pushmeet Kohli
Are Labels Required for Improving Adversarial Robustness? CoRR (2019)
Danhang Tang, Qi Ye, Shanxin Yuan, Jonathan Taylor, Pushmeet Kohli, Cem Keskin, Tae-Kyun Kim, Jamie Shotton
Opening the Black Box: Hierarchical Sampling Optimization for Hand Pose Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 41 (9) (2019)
Yujia Li, Chenjie Gu, Thomas Dullien, Oriol Vinyals, Pushmeet Kohli
Graph Matching Networks for Learning the Similarity of Graph Structured Objects. ICML (2019)
Po-Sen Huang, Robert Stanforth, Johannes Welbl, Chris Dyer, Dani Yogatama, Sven Gowal, Krishnamurthy Dvijotham, Pushmeet Kohli
Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation. CoRR (2019)
Victor Bapst, Alvaro Sanchez-Gonzalez, Carl Doersch, Kimberly L. Stachenfeld, Pushmeet Kohli, Peter W. Battaglia, Jessica B. Hamrick
Structured agents for physical construction. ICML (2019)
Po-Sen Huang, Huan Zhang, Ray Jiang, Robert Stanforth, Johannes Welbl, Jack Rae, Vishal Maini, Dani Yogatama, Pushmeet Kohli
Reducing Sentiment Bias in Language Models via Counterfactual Evaluation. CoRR (2019)
Dylan Banarse, Yoram Bachrach, Siqi Liu, Guy Lever, Nicolas Heess, Chrisantha Fernando, Pushmeet Kohli, Thore Graepel
The Body is Not a Given: Joint Agent Policy Learning and Morphology Evolution. AAMAS (2019)
Chongli Qin, Krishnamurthy (Dj) Dvijotham, Brendan O'Donoghue, Rudy Bunel, Robert Stanforth, Sven Gowal, Jonathan Uesato, Grzegorz Swirszcz, Pushmeet Kohli
Verification of Non-Linear Specifications for Neural Networks. CoRR (2019)
David Saxton, Edward Grefenstette, Felix Hill, Pushmeet Kohli
Analysing Mathematical Reasoning Abilities of Neural Models. ICLR (Poster) (2019)
Sven Gowal, Krishnamurthy Dvijotham, Robert Stanforth, Rudy Bunel, Chongli Qin, Jonathan Uesato, Relja Arandjelovic, Timothy Arthur Mann, Pushmeet Kohli
Scalable Verified Training for Provably Robust Image Classification. ICCV (2019)
Chenglong Wang, Rudy Bunel, Krishnamurthy Dvijotham, Po-Sen Huang, Edward Grefenstette, Pushmeet Kohli
Knowing When to Stop: Evaluation and Verification of Conformity to Output-Size Specifications. CVPR (2019)
Aditya Paliwal, Felix Gimeno, Vinod Nair, Yujia Li, Miles Lubin, Pushmeet Kohli, Oriol Vinyals
REGAL: Transfer Learning For Fast Optimization of Computation Graphs. CoRR (2019)
Chongli Qin, James Martens, Sven Gowal, Dilip Krishnan, Krishnamurthy Dvijotham, Alhussein Fawzi, Soham De, Robert Stanforth, Pushmeet Kohli
Adversarial Robustness through Local Linearization. CoRR (2019)
Ray Jiang, Silvia Chiappa, Tor Lattimore, András György, Pushmeet Kohli
Degenerate Feedback Loops in Recommender Systems. AIES (2019)
Chongli Qin, James Martens, Sven Gowal, Dilip Krishnan, Krishnamurthy Dvijotham, Alhussein Fawzi, Soham De, Robert Stanforth, Pushmeet Kohli
Adversarial Robustness through Local Linearization. NeurIPS (2019)
Hanjun Dai, Yujia Li, Chenglong Wang, Rishabh Singh, Po-Sen Huang, Pushmeet Kohli
Learning Transferable Graph Exploration. CoRR (2019)
Krishnamurthy (Dj) Dvijotham, Robert Stanforth, Sven Gowal, Chongli Qin, Soham De, Pushmeet Kohli
Efficient Neural Network Verification with Exactness Characterization. UAI (2019)
Yujia Li, Chenjie Gu, Thomas Dullien, Oriol Vinyals, Pushmeet Kohli
Graph Matching Networks for Learning the Similarity of Graph Structured Objects. CoRR (2019)
Kexin Yi, Chuang Gan, Yunzhu Li, Pushmeet Kohli, Jiajun Wu, Antonio Torralba, Joshua B. Tenenbaum
CLEVRER: CoLlision Events for Video REpresentation and Reasoning. CoRR (2019)
Simon A. A. Kohl, Bernardino Romera-Paredes, Klaus H. Maier-Hein, Danilo Jimenez Rezende, S. M. Ali Eslami, Pushmeet Kohli, Andrew Zisserman, Olaf Ronneberger
A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities. CoRR (2019)
Ray Jiang, Silvia Chiappa, Tor Lattimore, András György, Pushmeet Kohli
Degenerate Feedback Loops in Recommender Systems. CoRR (2019)
Rudy Bunel, Jingyue Lu, Ilker Turkaslan, Philip H. S. Torr, Pushmeet Kohli, M. Pawan Kumar
Branch and Bound for Piecewise Linear Neural Network Verification. CoRR (2019)
Sven Gowal, Jonathan Uesato, Chongli Qin, Po-Sen Huang, Timothy A. Mann, Pushmeet Kohli
An Alternative Surrogate Loss for PGD-based Adversarial Testing. CoRR (2019)
Jiayuan Mao, Chuang Gan, Pushmeet Kohli, Joshua B. Tenenbaum, Jiajun Wu
The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision. ICLR (2019)
David Saxton, Edward Grefenstette, Felix Hill, Pushmeet Kohli
Analysing Mathematical Reasoning Abilities of Neural Models. CoRR (2019)
Hanjun Dai, Yujia Li, Chenglong Wang, Rishabh Singh, Po-Sen Huang, Pushmeet Kohli
Learning Transferable Graph Exploration. NeurIPS (2019)
Jiayuan Mao, Chuang Gan, Pushmeet Kohli, Joshua B. Tenenbaum, Jiajun Wu
The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision. CoRR (2019)
Sven Gowal, Krishnamurthy Dvijotham, Robert Stanforth, Timothy A. Mann, Pushmeet Kohli
A Dual Approach to Verify and Train Deep Networks. IJCAI (2019)
Chenglong Wang, Rudy Bunel, Krishnamurthy Dvijotham, Po-Sen Huang, Edward Grefenstette, Pushmeet Kohli
Knowing When to Stop: Evaluation and Verification of Conformity to Output-size Specifications. CoRR (2019)
Dzmitry Bahdanau, Felix Hill, Jan Leike, Edward Hughes, Seyed Arian Hosseini, Pushmeet Kohli, Edward Grefenstette
Learning to Understand Goal Specifications by Modelling Reward. ICLR (Poster) (2019)
Jonathan Uesato, Ananya Kumar, Csaba Szepesvári, Tom Erez, Avraham Ruderman, Keith Anderson, Krishnamurthy (Dj) Dvijotham, Nicolas Heess, Pushmeet Kohli
Rigorous Agent Evaluation: An Adversarial Approach to Uncover Catastrophic Failures. ICLR (Poster) (2019)
Sven Gowal, Chongli Qin, Po-Sen Huang, A. Taylan Cemgil, Krishnamurthy Dvijotham, Timothy A. Mann, Pushmeet Kohli
Achieving Robustness in the Wild via Adversarial Mixing with Disentangled Representations. CoRR (2019)
Chongli Qin, Krishnamurthy (Dj) Dvijotham, Brendan O'Donoghue, Rudy Bunel, Robert Stanforth, Sven Gowal, Jonathan Uesato, Grzegorz Swirszcz, Pushmeet Kohli
Verification of Non-Linear Specifications for Neural Networks. ICLR (Poster) (2019)
Miljan Martic, Jan Leike, Andrew Trask, Matteo Hessel, Shane Legg, Pushmeet Kohli
Scaling shared model governance via model splitting. CoRR (2018)
Krishnamurthy Dvijotham, Robert Stanforth, Sven Gowal, Timothy A. Mann, Pushmeet Kohli
A Dual Approach to Scalable Verification of Deep Networks. UAI (2018)
Kexin Yi, Jiajun Wu, Chuang Gan, Antonio Torralba, Pushmeet Kohli, Joshua B. Tenenbaum
Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding. CoRR (2018)
Dzmitry Bahdanau, Felix Hill, Jan Leike, Edward Hughes, Pushmeet Kohli, Edward Grefenstette
Learning to Follow Language Instructions with Adversarial Reward Induction. CoRR (2018)
Krishnamurthy Dvijotham, Robert Stanforth, Sven Gowal, Timothy A. Mann, Pushmeet Kohli
A Dual Approach to Scalable Verification of Deep Networks. CoRR (2018)
Zi Wang, Clement Gehring, Pushmeet Kohli, Stefanie Jegelka
Batched Large-scale Bayesian Optimization in High-dimensional Spaces. AISTATS (2018)
Dzmitry Bahdanau, Felix Hill, Jan Leike, Edward Hughes, Pushmeet Kohli, Edward Grefenstette
Jointly Learning "What" and "How" from Instructions and Goal-States. ICLR (Workshop) (2018)
Jonathan Uesato, Brendan O'Donoghue, Aäron van den Oord, Pushmeet Kohli
Adversarial Risk and the Dangers of Evaluating Against Weak Attacks. CoRR (2018)
Richard Evans, David Saxton, David Amos, Pushmeet Kohli, Edward Grefenstette
Can Neural Networks Understand Logical Entailment? CoRR (2018)
Rudy Bunel, Matthew J. Hausknecht, Jacob Devlin, Rishabh Singh, Pushmeet Kohli
Leveraging Grammar and Reinforcement Learning for Neural Program Synthesis. ICLR (Poster) (2018)

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Publication Activity (10 Years)

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Pushmeet Kohli