Intraorbital Perineural Cyst of the Oculomotor Nerve (P2.142) von Mechtler, Laszlo, Mittal, Sarthak

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Deep Reinforcement Learning-Based Traffic Light Scheduling Framework for SDN-Enabled Smart Transportation System von Kumar, Neetesh, Mittal, Sarthak, Garg, Vaibhav, Kumar, Neeraj

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Is a Modular Architecture Enough? von Mittal, Sarthak, Bengio, Yoshua, Lajoie, Guillaume

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Improved off-policy training of diffusion samplers von Sendera, Marcin, Kim, Minsu, Mittal, Sarthak, Lemos, Pablo, Scimeca, Luca, Rector-Brooks, Jarrid, Adam, Alexandre, Bengio, Yoshua, Malkin, Nikolay

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Diffusion-Based Representation Learning von Mittal, Sarthak, Abstreiter, Korbinian, Bauer, Stefan, Schölkopf, Bernhard, Mehrjou, Arash

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Iterated Denoising Energy Matching for Sampling from Boltzmann Densities von Akhound-Sadegh, Tara, Rector-Brooks, Jarrid, Bose, Avishek Joey, Mittal, Sarthak, Lemos, Pablo, Liu, Cheng-Hao, Sendera, Marcin, Ravanbakhsh, Siamak, Gidel, Gauthier, Bengio, Yoshua, Malkin, Nikolay, Tong, Alexander

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MixupE: Understanding and Improving Mixup from Directional Derivative Perspective von Zou, Yingtian, Verma, Vikas, Mittal, Sarthak, Tang, Wai Hoh, Pham, Hieu, Kannala, Juho, Bengio, Yoshua, Solin, Arno, Kawaguchi, Kenji

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Is a Modular Architecture Enough? von Mittal, Sarthak, Bengio, Yoshua, Lajoie, Guillaume

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Compositional Attention: Disentangling Search and Retrieval von Mittal, Sarthak, Raparthy, Sharath Chandra, Rish, Irina, Bengio, Yoshua, Lajoie, Guillaume

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Amortizing intractable inference in diffusion models for vision, language, and control von Venkatraman, Siddarth, Jain, Moksh, Scimeca, Luca, Kim, Minsu, Sendera, Marcin, Hasan, Mohsin, Rowe, Luke, Mittal, Sarthak, Lemos, Pablo, Bengio, Emmanuel, Adam, Alexandre, Rector-Brooks, Jarrid, Bengio, Yoshua, Berseth, Glen, Malkin, Nikolay

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Comparative Study of Enhanced Round Robin Algorithms with Drrha and Other Metaheuristic Algorithms von Verma, Ritika, Mittal, Sarthak, Pawar, Siddharth, Sharma, Moolchand, Gupta, Deepak

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Knee Arthritis-Related Issues Among Aging Population in Indian Households von Kumar, Prakash, Mittal, Sarthak, Jhawar, Siddharth

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From Points to Functions: Infinite-dimensional Representations in Diffusion Models von Mittal, Sarthak, Lajoie, Guillaume, Bauer, Stefan, Mehrjou, Arash

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Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules von Mittal, Sarthak, Lamb, Alex, Goyal, Anirudh, Voleti, Vikram, Shanahan, Murray, Lajoie, Guillaume, Mozer, Michael, Bengio, Yoshua

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On diffusion models for amortized inference: Benchmarking and improving stochastic control and sampling von Sendera, Marcin, Kim, Minsu, Mittal, Sarthak, Lemos, Pablo, Scimeca, Luca, Rector-Brooks, Jarrid, Adam, Alexandre, Bengio, Yoshua, Malkin, Nikolay

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Steering Masked Discrete Diffusion Models via Discrete Denoising Posterior Prediction von Rector-Brooks, Jarrid, Mohsin Hasan, Peng, Zhangzhi, Quinn, Zachary, Liu, Chenghao, Mittal, Sarthak, Dziri, Nouha, Bronstein, Michael, Bengio, Yoshua, Chatterjee, Pranam, Tong, Alexander, Bose, Avishek Joey

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MixupE: Understanding and Improving Mixup from Directional Derivative Perspective von Zou, Yingtian, Verma, Vikas, Mittal, Sarthak, Wai Hoh Tang, Pham, Hieu, Kannala, Juho, Bengio, Yoshua, Solin, Arno, Kawaguchi, Kenji

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A Modern Take on the Bias-Variance Tradeoff in Neural Networks von Neal, Brady, Mittal, Sarthak, Baratin, Aristide, Tantia, Vinayak, Scicluna, Matthew, Lacoste-Julien, Simon, Mitliagkas, Ioannis

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On Neural Architecture Inductive Biases for Relational Tasks von Kerg, Giancarlo, Mittal, Sarthak, Rolnick, David, Bengio, Yoshua, Richards, Blake, Lajoie, Guillaume

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Compositional Attention: Disentangling Search and Retrieval von Mittal, Sarthak, Raparthy, Sharath Chandra, Rish, Irina, Bengio, Yoshua, Lajoie, Guillaume

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